BibBase galstyan, a

2023 (8)

Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. Rostami, M.; and Galstyan, A. In Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023. https://arxiv.org/pdf/2007.00197.pdf
link bibtex

@inproceedings{rostami2023overcoming,
  title={Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions},
  author={Rostami, Mohammad and Galstyan, Aram},
  booktitle={Thirty-Seventh AAAI Conference on Artificial Intelligence},
  year={2023},
  organization={https://arxiv.org/pdf/2007.00197.pdf}
}

Hybrid forecasting of geopolitical events. Benjamin, D. M; Morstatter, F.; Abbas, A. E; Abeliuk, A.; Atanasov, P.; Bennett, S.; Beger, A.; Birari, S.; Budescu, D. V; Catasta, M.; and others AI Magazine, 44: 112–128. 2023.
link bibtex

@article{benjamin2023hybrid,
  title={Hybrid forecasting of geopolitical events},
  author={Benjamin, Daniel M and Morstatter, Fred and Abbas, Ali E and Abeliuk, Andres and Atanasov, Pavel and Bennett, Stephen and Beger, Andreas and Birari, Saurabh and Budescu, David V and Catasta, Michele and others},
  journal={AI Magazine},
  volume={44},
  pages={112--128},
  year={2023}
}

“I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation. Ovalle, A.; Goyal, P.; Dhamala, J.; Jaggers, Z.; Chang, K.; Galstyan, A.; Zemel, R.; and Gupta, R. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pages 1246–1266, 2023.
link bibtex

@inproceedings{ovalle2023m,
  title={“I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation},
  author={Ovalle, Anaelia and Goyal, Palash and Dhamala, Jwala and Jaggers, Zachary and Chang, Kai-Wei and Galstyan, Aram and Zemel, Richard and Gupta, Rahul},
  booktitle={Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency},
  pages={1246--1266},
  year={2023}
}

Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. Lawton, N.; Kumar, A.; Thattai, G.; Galstyan, A.; and Steeg, G. V. In Findings of the Association for Computational Linguistics: ACL 2023, 2023.
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@inproceedings{lawton2023neural,
  title={Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models},
  author={Lawton, Neal and Kumar, Anoop and Thattai, Govind and Galstyan, Aram and Steeg, Greg Ver},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
  year={2023}
}

Resolving ambiguities in text-to-image generative models. Mehrabi, N.; Goyal, P.; Verma, A.; Dhamala, J.; Kumar, V.; Hu, Q.; Chang, K.; Zemel, R.; Galstyan, A.; and Gupta, R. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14367–14388, 2023.
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@inproceedings{mehrabi2023resolving,
  title={Resolving ambiguities in text-to-image generative models},
  author={Mehrabi, Ninareh and Goyal, Palash and Verma, Apurv and Dhamala, Jwala and Kumar, Varun and Hu, Qian and Chang, Kai-Wei and Zemel, Richard and Galstyan, Aram and Gupta, Rahul},
  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={14367--14388},
  year={2023}
}

Flirt: Feedback loop in-context red teaming. Mehrabi, N.; Goyal, P.; Dupuy, C.; Hu, Q.; Ghosh, S.; Zemel, R.; Chang, K.; Galstyan, A.; and Gupta, R. arXiv preprint arXiv:2308.04265. 2023.
link bibtex

@article{mehrabi2023flirt,
  title={Flirt: Feedback loop in-context red teaming},
  author={Mehrabi, Ninareh and Goyal, Palash and Dupuy, Christophe and Hu, Qian and Ghosh, Shalini and Zemel, Richard and Chang, Kai-Wei and Galstyan, Aram and Gupta, Rahul},
  journal={arXiv preprint arXiv:2308.04265},
  year={2023}
}

Domain adaptation for sentiment analysis using robust internal representations. Rostami, M.; Bose, D.; Narayanan, S.; and Galstyan, A. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 11484–11498, 2023.
link bibtex

@inproceedings{rostami2023domain,
  title={Domain adaptation for sentiment analysis using robust internal representations},
  author={Rostami, Mohammad and Bose, Digbalay and Narayanan, Shrikanth and Galstyan, Aram},
  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
  pages={11484--11498},
  year={2023}
}

On the steerability of large language models toward data-driven personas. Li, J.; Mehrabi, N.; Peris, C.; Goyal, P.; Chang, K.; Galstyan, A.; Zemel, R.; and Gupta, R. In NAACL'24, 2023.
link bibtex

@inproceedings{li2023steerability,
  title={On the steerability of large language models toward data-driven personas},
  author={Li, Junyi and Mehrabi, Ninareh and Peris, Charith and Goyal, Palash and Chang, Kai-Wei and Galstyan, Aram and Zemel, Richard and Gupta, Rahul},
  booktitle={NAACL'24},
  year={2023}
}

2022 (5)

Mitigating gender bias in distilled language models via counterfactual role reversal. Gupta, U.; Dhamala, J.; Kumar, V.; Verma, A.; Pruksachatkun, Y.; Krishna, S.; Gupta, R.; Chang, K.; Steeg, G. V.; and Galstyan, A. arXiv preprint arXiv:2203.12574. 2022.
link bibtex

@article{gupta2022mitigating,
  title={Mitigating gender bias in distilled language models via counterfactual role reversal},
  author={Gupta, Umang and Dhamala, Jwala and Kumar, Varun and Verma, Apurv and Pruksachatkun, Yada and Krishna, Satyapriya and Gupta, Rahul and Chang, Kai-Wei and Steeg, Greg Ver and Galstyan, Aram},
  journal={arXiv preprint arXiv:2203.12574},
  year={2022}
}

On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations. Cao, Y. T.; Pruksachatkun, Y.; Chang, K.; Gupta, R.; Kumar, V.; Dhamala, J.; and Galstyan, A. arXiv preprint arXiv:2203.13928. 2022.
link bibtex

@article{cao2022intrinsic,
  title={On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations},
  author={Cao, Yang Trista and Pruksachatkun, Yada and Chang, Kai-Wei and Gupta, Rahul and Kumar, Varun and Dhamala, Jwala and Galstyan, Aram},
  journal={arXiv preprint arXiv:2203.13928},
  year={2022}
}

Robust Conversational Agents against Imperceptible Toxicity Triggers. Mehrabi, N.; Beirami, A.; Morstatter, F.; and Galstyan, A. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022.
link bibtex

@inproceedings{mehrabi2022robust,
  title={Robust Conversational Agents against Imperceptible Toxicity Triggers},
  author={Mehrabi, Ninareh and Beirami, Ahmad and Morstatter, Fred and Galstyan, Aram},
  booktitle={Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  year={2022}
}

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. Ghazarian, S.; Wen, N.; Galstyan, A.; and Peng, N. In ACL 2022, 2022.
link bibtex

@inproceedings{ghazarian2022deam,
  title={DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations},
  author={Ghazarian, Sarik and Wen, Nuan and Galstyan, Aram and Peng, Nanyun},
  booktitle={ACL 2022},
  year={2022}
}

StATIK: Structure and text for inductive knowledge graph completion. Markowitz, E.; Balasubramanian, K.; Mirtaheri, M.; Annavaram, M.; Galstyan, A.; and Ver Steeg, G. In Findings of the association for computational linguistics: NAACL 2022, pages 604–615, 2022.
link bibtex

@inproceedings{markowitz2022statik,
  title={StATIK: Structure and text for inductive knowledge graph completion},
  author={Markowitz, Elan and Balasubramanian, Keshav and Mirtaheri, Mehrnoosh and Annavaram, Murali and Galstyan, Aram and Ver Steeg, Greg},
  booktitle={Findings of the association for computational linguistics: NAACL 2022},
  pages={604--615},
  year={2022}
}

2021 (11)

Identifying and analyzing cryptocurrency manipulations in social media. Mirtaheri, M.; Abu-El-Haija, S.; Morstatter, F.; Ver Steeg, G.; and Galstyan, A. IEEE Transactions on Computational Social Systems, 8(3): 607–617. 2021.
link bibtex

@article{mirtaheri2021identifying,
  title={Identifying and analyzing cryptocurrency manipulations in social media},
  author={Mirtaheri, Mehrnoosh and Abu-El-Haija, Sami and Morstatter, Fred and Ver Steeg, Greg and Galstyan, Aram},
  journal={IEEE Transactions on Computational Social Systems},
  volume={8},
  number={3},
  pages={607--617},
  year={2021},
  publisher={IEEE}
}

A survey on bias and fairness in machine learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. ACM computing surveys (CSUR), 54(6): 1–35. 2021.
link bibtex 1 download

@article{mehrabi2021survey,
  title={A survey on bias and fairness in machine learning},
  author={Mehrabi, Ninareh and Morstatter, Fred and Saxena, Nripsuta and Lerman, Kristina and Galstyan, Aram},
  journal={ACM computing surveys (CSUR)},
  volume={54},
  number={6},
  pages={1--35},
  year={2021},
  publisher={ACM New York, NY, USA}
}

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. Markowitz, E.; Balasubramanian, K.; Mirtaheri, M.; Abu-El-Haija, S.; Perozzi, B.; Steeg, G. V.; and Galstyan, A. In ICLR, 2021.
link bibtex

@inproceedings{markowitz2021graph,
  title={Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning},
  author={Markowitz, Elan and Balasubramanian, Keshav and Mirtaheri, Mehrnoosh and Abu-El-Haija, Sami and Perozzi, Bryan and Steeg, Greg Ver and Galstyan, Aram},
  booktitle={ICLR},
  year={2021}
}

A survey of human judgement and quantitative forecasting methods. Zellner, M.; Abbas, A. E; Budescu, D. V; and Galstyan, A. Royal Society open science, 8(2): 201187. 2021.
link bibtex

@article{zellner2021survey,
  title={A survey of human judgement and quantitative forecasting methods},
  author={Zellner, Maximilian and Abbas, Ali E and Budescu, David V and Galstyan, Aram},
  journal={Royal Society open science},
  volume={8},
  number={2},
  pages={201187},
  year={2021},
  publisher={The Royal Society}
}

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. Mehrabi, N.; Zhou, P.; Morstatter, F.; Pujara, J.; Ren, X.; and Galstyan, A. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021.
link bibtex

@inproceedings{mehrabi2021lawyers,
  title={Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources},
  author={Mehrabi, Ninareh and Zhou, Pei and Morstatter, Fred and Pujara, Jay and Ren, Xiang and Galstyan, Aram},
  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
  year={2021}
}

Bin2vec: learning representations of binary executable programs for security tasks. Arakelyan, S.; Arasteh, S.; Hauser, C.; Kline, E.; and Galstyan, A. Cybersecurity, 4: 1–14. 2021.
link bibtex

@article{arakelyan2021bin2vec,
  title={Bin2vec: learning representations of binary executable programs for security tasks},
  author={Arakelyan, Shushan and Arasteh, Sima and Hauser, Christophe and Kline, Erik and Galstyan, Aram},
  journal={Cybersecurity},
  volume={4},
  pages={1--14},
  year={2021},
  publisher={Springer Singapore}
}

q-paths: Generalizing the geometric annealing path using power means. Masrani, V.; Brekelmans, R.; Bui, T.; Nielsen, F.; Galstyan, A.; Ver Steeg, G.; and Wood, F. In Uncertainty in Artificial Intelligence, pages 1938–1947, 2021. PMLR
link bibtex

@inproceedings{masrani2021q,
  title={q-paths: Generalizing the geometric annealing path using power means},
  author={Masrani, Vaden and Brekelmans, Rob and Bui, Thang and Nielsen, Frank and Galstyan, Aram and Ver Steeg, Greg and Wood, Frank},
  booktitle={Uncertainty in Artificial Intelligence},
  pages={1938--1947},
  year={2021},
  organization={PMLR}
}

Attributing fair decisions with attention interventions. Mehrabi, N.; Gupta, U.; Morstatter, F.; Steeg, G. V.; and Galstyan, A. arXiv preprint arXiv:2109.03952. 2021.
link bibtex

@article{mehrabi2021attributing,
  title={Attributing fair decisions with attention interventions},
  author={Mehrabi, Ninareh and Gupta, Umang and Morstatter, Fred and Steeg, Greg Ver and Galstyan, Aram},
  journal={arXiv preprint arXiv:2109.03952},
  year={2021}
}

Partner-assisted learning for few-shot image classification. Ma, J.; Xie, H.; Han, G.; Chang, S.; Galstyan, A.; and Abd-Almageed, W. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10573–10582, 2021.
link bibtex

@inproceedings{ma2021partner,
  title={Partner-assisted learning for few-shot image classification},
  author={Ma, Jiawei and Xie, Hanchen and Han, Guangxing and Chang, Shih-Fu and Galstyan, Aram and Abd-Almageed, Wael},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10573--10582},
  year={2021}
}

Information-theoretic generalization bounds for black-box learning algorithms. Harutyunyan, H.; Raginsky, M.; Ver Steeg, G.; and Galstyan, A. Advances in Neural Information Processing Systems, 34: 24670–24682. 2021.
link bibtex

@article{harutyunyan2021information,
  title={Information-theoretic generalization bounds for black-box learning algorithms},
  author={Harutyunyan, Hrayr and Raginsky, Maxim and Ver Steeg, Greg and Galstyan, Aram},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={24670--24682},
  year={2021}
}

Exacerbating Algorithmic Bias through Fairness Attacks. Mehrabi, N.; Naveed, M.; Morstatter, F.; and Galstyan, A. In AAAI'21, 2021.
link bibtex

@inproceedings{mehrabi2021exacerbating,
  title={Exacerbating Algorithmic Bias through Fairness Attacks},
  author={Mehrabi, Ninareh and Naveed, Muhammad and Morstatter, Fred and Galstyan, Aram},
  booktitle={AAAI'21},
  year={2021}
}

2020 (8)

Stacking models for nearly optimal link prediction in complex networks. Ghasemian, A.; Hosseinmardi, H.; Galstyan, A.; Airoldi, E. M; and Clauset, A. Proceedings of the National Academy of Sciences, 117(38): 23393–23400. 2020.
link bibtex

@article{ghasemian2020stacking,
  title={Stacking models for nearly optimal link prediction in complex networks},
  author={Ghasemian, Amir and Hosseinmardi, Homa and Galstyan, Aram and Airoldi, Edoardo M and Clauset, Aaron},
  journal={Proceedings of the National Academy of Sciences},
  volume={117},
  number={38},
  pages={23393--23400},
  year={2020},
  publisher={National Academy of Sciences}
}

Man is to person as woman is to location: Measuring gender bias in named entity recognition. Mehrabi, N.; Gowda, T.; Morstatter, F.; Peng, N.; and Galstyan, A. In Proceedings of the 31st ACM conference on Hypertext and Social Media, pages 231–232, 2020.
link bibtex

@inproceedings{mehrabi2020man,
  title={Man is to person as woman is to location: Measuring gender bias in named entity recognition},
  author={Mehrabi, Ninareh and Gowda, Thamme and Morstatter, Fred and Peng, Nanyun and Galstyan, Aram},
  booktitle={Proceedings of the 31st ACM conference on Hypertext and Social Media},
  pages={231--232},
  year={2020}
}

Predictive engagement: An efficient metric for automatic evaluation of open-domain dialogue systems. Ghazarian, S.; Weischedel, R.; Galstyan, A.; and Peng, N. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pages 7789–7796, 2020.
link bibtex

@inproceedings{ghazarian2020predictive,
  title={Predictive engagement: An efficient metric for automatic evaluation of open-domain dialogue systems},
  author={Ghazarian, Sarik and Weischedel, Ralph and Galstyan, Aram and Peng, Nanyun},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={05},
  pages={7789--7796},
  year={2020}
}

Improving generalization by controlling label-noise information in neural network weights. Harutyunyan, H.; Reing, K.; Ver Steeg, G.; and Galstyan, A. In International Conference on Machine Learning, pages 4071–4081, 2020. PMLR
link bibtex

@inproceedings{harutyunyan2020improving,
  title={Improving generalization by controlling label-noise information in neural network weights},
  author={Harutyunyan, Hrayr and Reing, Kyle and Ver Steeg, Greg and Galstyan, Aram},
  booktitle={International Conference on Machine Learning},
  pages={4071--4081},
  year={2020},
  organization={PMLR}
}

All in the exponential family: Bregman duality in thermodynamic variational inference. Brekelmans, R.; Masrani, V.; Wood, F.; Steeg, G. V.; and Galstyan, A. In ICML 2020, 2020.
link bibtex 3 downloads

@inproceedings{brekelmans2020all,
  title={All in the exponential family: Bregman duality in thermodynamic variational inference},
  author={Brekelmans, Rob and Masrani, Vaden and Wood, Frank and Steeg, Greg Ver and Galstyan, Aram},
  booktitle={ICML 2020},
  year={2020}
}

Quantifying machine influence over human forecasters. Abeliuk, A.; Benjamin, D. M; Morstatter, F.; and Galstyan, A. Scientific reports, 10(1): 15940. 2020.
link bibtex

@article{abeliuk2020quantifying,
  title={Quantifying machine influence over human forecasters},
  author={Abeliuk, Andr{\'e}s and Benjamin, Daniel M and Morstatter, Fred and Galstyan, Aram},
  journal={Scientific reports},
  volume={10},
  number={1},
  pages={15940},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

One-shot learning for temporal knowledge graphs. Mirtaheri, M.; Rostami, M.; Ren, X.; Morstatter, F.; and Galstyan, A. In Automayed Knowledge Base Construction, AKBC 2021, 2020.
link bibtex

@inproceedings{mirtaheri2020one,
  title={One-shot learning for temporal knowledge graphs},
  author={Mirtaheri, Mehrnoosh and Rostami, Mohammad and Ren, Xiang and Morstatter, Fred and Galstyan, Aram},
  booktitle={Automayed Knowledge Base Construction, AKBC 2021},
  year={2020}
}

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. Jin, W.; Khanna, R.; Kim, S.; Lee, D.; Morstatter, F.; Galstyan, A.; and Ren, X. In ACL 2021, 2020.
link bibtex

@inproceedings{jin2020forecastqa,
  title={ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data},
  author={Jin, Woojeong and Khanna, Rahul and Kim, Suji and Lee, Dong-Ho and Morstatter, Fred and Galstyan, Aram and Ren, Xiang},
  booktitle={ACL 2021},
  year={2020}
}

2019 (7)

Multitask learning and benchmarking with clinical time series data. Harutyunyan, H.; Khachatrian, H.; Kale, D. C; Ver Steeg, G.; and Galstyan, A. Scientific data, 6(1): 96. 2019.
link bibtex

@article{harutyunyan2019multitask,
  title={Multitask learning and benchmarking with clinical time series data},
  author={Harutyunyan, Hrayr and Khachatrian, Hrant and Kale, David C and Ver Steeg, Greg and Galstyan, Aram},
  journal={Scientific data},
  volume={6},
  number={1},
  pages={96},
  year={2019},
  publisher={Nature Publishing Group UK London}
}

Auto-encoding total correlation explanation. Gao, S.; Brekelmans, R.; Ver Steeg, G.; and Galstyan, A. In The 22nd international conference on artificial intelligence and statistics, pages 1157–1166, 2019. PMLR
link bibtex

@inproceedings{gao2019auto,
  title={Auto-encoding total correlation explanation},
  author={Gao, Shuyang and Brekelmans, Rob and Ver Steeg, Greg and Galstyan, Aram},
  booktitle={The 22nd international conference on artificial intelligence and statistics},
  pages={1157--1166},
  year={2019},
  organization={PMLR}
}

Debiasing community detection: the importance of lowly connected nodes. Mehrabi, N.; Morstatter, F.; Peng, N.; and Galstyan, A. In Proceedings of the 2019 IEEE/ACM international conference on advances in social networks analysis and mining, pages 509–512, 2019.
link bibtex

@inproceedings{mehrabi2019debiasing,
  title={Debiasing community detection: the importance of lowly connected nodes},
  author={Mehrabi, Ninareh and Morstatter, Fred and Peng, Nanyun and Galstyan, Aram},
  booktitle={Proceedings of the 2019 IEEE/ACM international conference on advances in social networks analysis and mining},
  pages={509--512},
  year={2019}
}

Better automatic evaluation of open-domain dialogue systems with contextualized embeddings. Ghazarian, S.; Wei, J. T.; Galstyan, A.; and Peng, N. arXiv preprint arXiv:1904.10635. 2019.
link bibtex

@article{ghazarian2019better,
  title={Better automatic evaluation of open-domain dialogue systems with contextualized embeddings},
  author={Ghazarian, Sarik and Wei, Johnny Tian-Zheng and Galstyan, Aram and Peng, Nanyun},
  journal={arXiv preprint arXiv:1904.10635},
  year={2019}
}

Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. Abu-El-Haija, S.; Perozzi, B.; Kapoor, A.; Alipourfard, N.; Lerman, K.; Harutyunyan, H.; Ver Steeg, G.; and Galstyan, A. In international conference on machine learning, pages 21–29, 2019. PMLR
link bibtex

@inproceedings{abu2019mixhop,
  title={Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing},
  author={Abu-El-Haija, Sami and Perozzi, Bryan and Kapoor, Amol and Alipourfard, Nazanin and Lerman, Kristina and Harutyunyan, Hrayr and Ver Steeg, Greg and Galstyan, Aram},
  booktitle={international conference on machine learning},
  pages={21--29},
  year={2019},
  organization={PMLR}
}

Deep structured neural network for event temporal relation extraction. Han, R.; Hsu, I; Yang, M.; Galstyan, A.; Weischedel, R.; and Peng, N. In arXiv preprint arXiv:1909.10094, 2019.
link bibtex

@inproceedings{han2019deep,
  title={Deep structured neural network for event temporal relation extraction},
  author={Han, Rujun and Hsu, I and Yang, Mu and Galstyan, Aram and Weischedel, Ralph and Peng, Nanyun},
  booktitle={arXiv preprint arXiv:1909.10094},
  year={2019}
}

SAGE: A hybrid geopolitical event forecasting system. Morstatter, F.; Galstyan, A.; Satyukov, G.; Benjamin, D.; Abeliuk, A.; Mirtaheri, M.; Hossain, K. T.; Szekely, P.; Ferrara, E.; Matsui, A.; and others In 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, pages 6557–6559, 2019. International Joint Conferences on Artificial Intelligence
link bibtex

@inproceedings{morstatter2019sage,
  title={SAGE: A hybrid geopolitical event forecasting system},
  author={Morstatter, Fred and Galstyan, Aram and Satyukov, Gleb and Benjamin, Daniel and Abeliuk, Andres and Mirtaheri, Mehrnoosh and Hossain, KSM Tozammel and Szekely, Pedro and Ferrara, Emilio and Matsui, Akira and others},
  booktitle={28th International Joint Conference on Artificial Intelligence, IJCAI 2019},
  pages={6557--6559},
  year={2019},
  organization={International Joint Conferences on Artificial Intelligence}
}

2018 (5)

From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election. Morstatter, F.; Shao, Y.; Galstyan, A.; and Karunasekera, S. In Companion Proceedings of the The Web Conference 2018, pages 621–628, 2018.
link bibtex

@inproceedings{morstatter2018alt,
  title={From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election},
  author={Morstatter, Fred and Shao, Yunqiu and Galstyan, Aram and Karunasekera, Shanika},
  booktitle={Companion Proceedings of the The Web Conference 2018},
  pages={621--628},
  year={2018}
}

Embedding networks with edge attributes. Goyal, P.; Hosseinmardi, H.; Ferrara, E.; and Galstyan, A. In Proceedings of the 29th on Hypertext and Social Media, pages 38–42. 2018.
link bibtex

@incollection{goyal2018embedding,
  title={Embedding networks with edge attributes},
  author={Goyal, Palash and Hosseinmardi, Homa and Ferrara, Emilio and Galstyan, Aram},
  booktitle={Proceedings of the 29th on Hypertext and Social Media},
  pages={38--42},
  year={2018}
}

Adaptive decision making via entropy minimization. Allahverdyan, A. E; Galstyan, A.; Abbas, A. E; and Struzik, Z. R International Journal of Approximate Reasoning, 103: 270–287. 2018.
link bibtex

@article{allahverdyan2018adaptive,
  title={Adaptive decision making via entropy minimization},
  author={Allahverdyan, Armen E and Galstyan, Aram and Abbas, Ali E and Struzik, Zbigniew R},
  journal={International Journal of Approximate Reasoning},
  volume={103},
  pages={270--287},
  year={2018},
  publisher={Elsevier}
}

Uncovering biologically coherent peripheral signatures of health and risk for Alzheimer’s disease in the aging brain. Riedel, B. C; Daianu, M.; Ver Steeg, G.; Mezher, A.; Salminen, L. E; Galstyan, A.; Thompson, P. M; and Initiative, A. D. N. Frontiers in aging neuroscience, 10: 390. 2018.
link bibtex

@article{riedel2018uncovering,
  title={Uncovering biologically coherent peripheral signatures of health and risk for Alzheimer’s disease in the aging brain},
  author={Riedel, Brandalyn C and Daianu, Madelaine and Ver Steeg, Greg and Mezher, Adam and Salminen, Lauren E and Galstyan, Aram and Thompson, Paul M and Alzheimer’s Disease Neuroimaging Initiative},
  journal={Frontiers in aging neuroscience},
  volume={10},
  pages={390},
  year={2018},
  publisher={Frontiers Media SA}
}

Invariant representations without adversarial training. Moyer, D.; Gao, S.; Brekelmans, R.; Steeg, G. V.; and Galstyan, A. In Advances in Neural Information Processing Systems (NeurIPS), 2018.
link bibtex

@inproceedings{moyer2018invariant,
  title={Invariant representations without adversarial training},
  author={Moyer, Daniel and Gao, Shuyang and Brekelmans, Rob and Steeg, Greg Ver and Galstyan, Aram},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2018}
}

2016 (11)

The information sieve. Ver Steeg, G.; and Galstyan, A. In International Conference on Machine Learning, pages 164–172, 2016. PMLR
link bibtex

@inproceedings{ver2016information,
  title={The information sieve},
  author={Ver Steeg, Greg and Galstyan, Aram},
  booktitle={International Conference on Machine Learning},
  pages={164--172},
  year={2016},
  organization={PMLR}
}

Latent space model for multi-modal social data. Cho, Y.; Ver Steeg, G.; Ferrara, E.; and Galstyan, A. In Proceedings of the 25th international conference on world wide web, pages 447–458, 2016.
link bibtex

@inproceedings{cho2016latent,
  title={Latent space model for multi-modal social data},
  author={Cho, Yoon-Sik and Ver Steeg, Greg and Ferrara, Emilio and Galstyan, Aram},
  booktitle={Proceedings of the 25th international conference on world wide web},
  pages={447--458},
  year={2016}
}

Extracting biomolecular interactions using semantic parsing of biomedical text. Garg, S.; Galstyan, A.; Hermjakob, U.; and Marcu, D. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 30, 2016.
link bibtex

@inproceedings{garg2016extracting,
  title={Extracting biomolecular interactions using semantic parsing of biomedical text},
  author={Garg, Sahil and Galstyan, Aram and Hermjakob, Ulf and Marcu, Daniel},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={30},
  number={1},
  year={2016}
}

The DARPA Twitter bot challenge. Subrahmanian, V. S; Azaria, A.; Durst, S.; Kagan, V.; Galstyan, A.; Lerman, K.; Zhu, L.; Ferrara, E.; Flammini, A.; and Menczer, F. Computer, 49(6): 38–46. 2016.
link bibtex 10 downloads

@article{subrahmanian2016darpa,
  title={The DARPA Twitter bot challenge},
  author={Subrahmanian, Venkatramanan S and Azaria, Amos and Durst, Skylar and Kagan, Vadim and Galstyan, Aram and Lerman, Kristina and Zhu, Linhong and Ferrara, Emilio and Flammini, Alessandro and Menczer, Filippo},
  journal={Computer},
  volume={49},
  number={6},
  pages={38--46},
  year={2016},
  publisher={IEEE}
}

Predicting online extremism, content adopters, and interaction reciprocity. Ferrara, E.; Wang, W.; Varol, O.; Flammini, A.; and Galstyan, A. In Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part II 8, pages 22–39, 2016. Springer International Publishing
link bibtex

@inproceedings{ferrara2016predicting,
  title={Predicting online extremism, content adopters, and interaction reciprocity},
  author={Ferrara, Emilio and Wang, Wen-Qiang and Varol, Onur and Flammini, Alessandro and Galstyan, Aram},
  booktitle={Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part II 8},
  pages={22--39},
  year={2016},
  organization={Springer International Publishing}
}

Using social media, online social networks, and internet search as platforms for public health interventions: a pilot study. Huesch, M. D; Galstyan, A.; Ong, M. K; and Doctor, J. N Health services research, 51: 1273–1290. 2016.
link bibtex

@article{huesch2016using,
  title={Using social media, online social networks, and internet search as platforms for public health interventions: a pilot study},
  author={Huesch, Marco D and Galstyan, Aram and Ong, Michael K and Doctor, Jason N},
  journal={Health services research},
  volume={51},
  pages={1273--1290},
  year={2016}
}

Modeling Concept Dependencies in a Scientific Corpus. Gordon, J.; Zhu, L.; Galstyan, A.; Natarajan, P.; and Burns, G. In Proc. of the Association for Computational Linguistics (ACL), 2016.
link bibtex

@inproceedings{gordon2016modeling,
  title={Modeling Concept Dependencies in a Scientific Corpus},
  author={Gordon, Jonathan and Zhu, Linhong and Galstyan, Aram and Natarajan, Prem and Burns, Gully},
  booktitle={Proc. of the Association for Computational Linguistics (ACL)},
  year={2016}
}

Scalable temporal latent space inference for link prediction in dynamic social networks. Zhu, L.; Guo, D.; Yin, J.; Ver Steeg, G.; and Galstyan, A. IEEE Transactions on Knowledge and Data Engineering, 28(10): 2765–2777. 2016.
link bibtex

@article{zhu2016scalable,
  title={Scalable temporal latent space inference for link prediction in dynamic social networks},
  author={Zhu, Linhong and Guo, Dong and Yin, Junming and Ver Steeg, Greg and Galstyan, Aram},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={28},
  number={10},
  pages={2765--2777},
  year={2016},
  publisher={IEEE}
}

Emergence of leadership in communication. Allahverdyan, A. E; and Galstyan, A. PloS one, 11(8): e0159301. 2016.
link bibtex

@article{allahverdyan2016emergence,
  title={Emergence of leadership in communication},
  author={Allahverdyan, Armen E and Galstyan, Aram},
  journal={PloS one},
  volume={11},
  number={8},
  pages={e0159301},
  year={2016},
  publisher={Public Library of Science San Francisco, CA USA}
}

Unsupervised entity resolution on multi-type graphs. Zhu, L.; Ghasemi-Gol, M.; Szekely, P.; Galstyan, A.; and Knoblock, C. A In The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I 15, pages 649–667, 2016. Springer International Publishing
link bibtex 39 downloads

@inproceedings{zhu2016unsupervised,
  title={Unsupervised entity resolution on multi-type graphs},
  author={Zhu, Linhong and Ghasemi-Gol, Majid and Szekely, Pedro and Galstyan, Aram and Knoblock, Craig A},
  booktitle={The Semantic Web--ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17--21, 2016, Proceedings, Part I 15},
  pages={649--667},
  year={2016},
  organization={Springer International Publishing}
}

Variational information maximization for feature selection. Gao, S.; Ver Steeg, G.; and Galstyan, A. Advances in neural information processing systems, 29. 2016.
link bibtex

@article{gao2016variational,
  title={Variational information maximization for feature selection},
  author={Gao, Shuyang and Ver Steeg, Greg and Galstyan, Aram},
  journal={Advances in neural information processing systems},
  volume={29},
  year={2016}
}

2015 (2)

Estimating mutual information by local Gaussian approximation. Gao, S.; Steeg, G. V.; and Galstyan, A. In Uncertianty in Artificial Intelligence (UAI), 2015.
link bibtex

@inproceedings{gao2015estimating,
  title={Estimating mutual information by local Gaussian approximation},
  author={Gao, Shuyang and Steeg, Greg Ver and Galstyan, Aram},
  booktitle={Uncertianty in Artificial Intelligence (UAI)},
  year={2015}
}

Efficient estimation of mutual information for strongly dependent variables. Gao, S.; Ver Steeg, G.; and Galstyan, A. In Artificial intelligence and statistics, pages 277–286, 2015. PMLR
link bibtex

@inproceedings{gao2015efficient,
  title={Efficient estimation of mutual information for strongly dependent variables},
  author={Gao, Shuyang and Ver Steeg, Greg and Galstyan, Aram},
  booktitle={Artificial intelligence and statistics},
  pages={277--286},
  year={2015},
  organization={PMLR}
}

2014 (6)

Modeling temporal activity patterns in dynamic social networks. Raghavan, V.; Ver Steeg, G.; Galstyan, A.; and Tartakovsky, A. G IEEE Transactions on Computational Social Systems, 1(1): 89–107. 2014.
link bibtex

@article{raghavan2014modeling,
  title={Modeling temporal activity patterns in dynamic social networks},
  author={Raghavan, Vasanthan and Ver Steeg, Greg and Galstyan, Aram and Tartakovsky, Alexander G},
  journal={IEEE Transactions on Computational Social Systems},
  volume={1},
  number={1},
  pages={89--107},
  year={2014},
  publisher={IEEE}
}

Tripartite graph clustering for dynamic sentiment analysis on social media. Zhu, L.; Galstyan, A.; Cheng, J.; and Lerman, K. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data, pages 1531–1542, 2014.
link bibtex 43 downloads

@inproceedings{zhu2014tripartite,
  title={Tripartite graph clustering for dynamic sentiment analysis on social media},
  author={Zhu, Linhong and Galstyan, Aram and Cheng, James and Lerman, Kristina},
  booktitle={Proceedings of the 2014 ACM SIGMOD international conference on Management of data},
  pages={1531--1542},
  year={2014}
}

Where and why users “check in”. Cho, Y.; Ver Steeg, G.; and Galstyan, A. In Proc. of AAAI, volume 14, pages 269–275, 2014.
link bibtex 40 downloads

@inproceedings{cho2014and,
  title={Where and why users “check in”},
  author={Cho, Yoon-Sik and Ver Steeg, Greg and Galstyan, Aram},
  booktitle={Proc. of AAAI},
  volume={14},
  pages={269--275},
  year={2014}
}

Discovering structure in high-dimensional data through correlation explanation. Ver Steeg, G.; and Galstyan, A. Advances in Neural Information Processing Systems, 27. 2014.
link bibtex

@article{ver2014discovering,
  title={Discovering structure in high-dimensional data through correlation explanation},
  author={Ver Steeg, Greg and Galstyan, Aram},
  journal={Advances in Neural Information Processing Systems},
  volume={27},
  year={2014}
}

Opinion dynamics with confirmation bias. Allahverdyan, A. E; and Galstyan, A. PloS one, 9(7): e99557. 2014.
link bibtex

@article{allahverdyan2014opinion,
  title={Opinion dynamics with confirmation bias},
  author={Allahverdyan, Armen E and Galstyan, Aram},
  journal={PloS one},
  volume={9},
  number={7},
  pages={e99557},
  year={2014},
  publisher={Public Library of Science}
}

Maximally Informative Hierarchical Representations of High-Dimensional Data. Ver Steeg, G.; and Galstyan, A. In Artificial Intelligence and Statistics (AISTATS), 2014.
link bibtex

@inproceedings{ver2014maximally,
  title={Maximally Informative Hierarchical Representations of High-Dimensional Data},
  author={Ver Steeg, Greg and Galstyan, Aram},
  booktitle={Artificial Intelligence and Statistics (AISTATS)},
  year={2014}
}

2013 (6)

Continuous strategy replicator dynamics for multi-agent q-learning. Galstyan, A. Autonomous agents and multi-agent systems, 26: 37–53. 2013.
link bibtex

@article{galstyan2013continuous,
  title={Continuous strategy replicator dynamics for multi-agent q-learning},
  author={Galstyan, Aram},
  journal={Autonomous agents and multi-agent systems},
  volume={26},
  pages={37--53},
  year={2013},
  publisher={Springer US}
}

Hidden Markov models for the activity profile of terrorist groups. Raghavan, V.; Galstyan, A.; and Tartakovsky, A. G The Annals of Applied Statistics,2402–2430. 2013.
link bibtex

@article{raghavan2013hidden,
  title={Hidden Markov models for the activity profile of terrorist groups},
  author={Raghavan, Vasanthan and Galstyan, Aram and Tartakovsky, Alexander G},
  journal={The Annals of Applied Statistics},
  pages={2402--2430},
  year={2013},
  publisher={Institute of Mathematical Statistics}
}

Sentiment prediction using collaborative filtering. Kim, J.; Yoo, J.; Lim, H.; Qiu, H.; Kozareva, Z.; and Galstyan, A. In Proceedings of the international AAAI conference on web and social media, volume 7, pages 685–688, 2013.
link bibtex 6 downloads

@inproceedings{kim2013sentiment,
  title={Sentiment prediction using collaborative filtering},
  author={Kim, Jihie and Yoo, Jaebong and Lim, Ho and Qiu, Huida and Kozareva, Zornitsa and Galstyan, Aram},
  booktitle={Proceedings of the international AAAI conference on web and social media},
  volume={7},
  number={1},
  pages={685--688},
  year={2013}
}

Coupled hidden markov models for user activity in social networks. Raghavan, V.; Ver Steeg, G.; Galstyan, A.; and Tartakovsky, A. G In 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pages 1–6, 2013. IEEE
link bibtex

@inproceedings{raghavan2013coupled,
  title={Coupled hidden markov models for user activity in social networks},
  author={Raghavan, Vasanthan and Ver Steeg, Greg and Galstyan, Aram and Tartakovsky, Alexander G},
  booktitle={2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)},
  pages={1--6},
  year={2013},
  organization={IEEE}
}

Demystifying information-theoretic clustering. Ver Steeg, G.; Galstyan, A.; Sha, F.; and DeDeo, S. In ICML, 2013.
link bibtex

@inproceedings{ver2013demystifying,
  title={Demystifying information-theoretic clustering},
  author={Ver Steeg, Greg and Galstyan, Aram and Sha, Fei and DeDeo, Simon},
  booktitle={ICML},
  year={2013}
}

Latent self-exciting point process model for spatial-temporal networks. Cho, Y.; Galstyan, A.; Brantingham, P J.; and Tita, G. arXiv preprint arXiv:1302.2671. 2013.
link bibtex

@article{cho2013latent,
  title={Latent self-exciting point process model for spatial-temporal networks},
  author={Cho, Yoon-Sik and Galstyan, Aram and Brantingham, P Jeffrey and Tita, George},
  journal={arXiv preprint arXiv:1302.2671},
  year={2013}
}

2012 (2)

Dynamics of Boltzmann Q learning in two-player two-action games. Kianercy, A.; and Galstyan, A. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 85(4): 041145. 2012.
link bibtex 5 downloads

@article{kianercy2012dynamics,
  title={Dynamics of Boltzmann Q learning in two-player two-action games},
  author={Kianercy, Ardeshir and Galstyan, Aram},
  journal={Physical Review E—Statistical, Nonlinear, and Soft Matter Physics},
  volume={85},
  number={4},
  pages={041145},
  year={2012},
  publisher={American Physical Society}
}

Information-Theoretic Measures of Influence Based on Content Dynamics. Steeg, G. V.; and Galstyan, A. In WSDM 2013, 2012.
link bibtex 7 downloads

@inproceedings{steeg2012information,
  title={Information-Theoretic Measures of Influence Based on Content Dynamics},
  author={Steeg, Greg Ver and Galstyan, Aram},
  booktitle={WSDM 2013},
  year={2012}
}

2011 (4)

Information Transfer in Social Media. Ver Steeg, G.; and Galstyan, A. In WWW 2012, 2011.
link bibtex 1 download

@inproceedings{ver2011information,
  title={Information Transfer in Social Media},
  author={Ver Steeg, Greg and Galstyan, Aram},
  booktitle={WWW 2012},
  year={2011}
}

Co-evolution of selection and influence in social networks. Cho, Y.; Ver Steeg, G.; and Galstyan, A. arXiv preprint arXiv:1106.2788. 2011.
link bibtex 15 downloads

@article{cho2011co,
  title={Co-evolution of selection and influence in social networks},
  author={Cho, Yoon-Sik and Ver Steeg, Greg and Galstyan, Aram},
  journal={arXiv preprint arXiv:1106.2788},
  year={2011}
}

Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs. Allahverdyan, A.; and Galstyan, A. In Neural Information Processing Systems (NIPS)., 2011.
link bibtex

@inproceedings{allahverdyan2011comparative,
  title={Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs},
  author={Allahverdyan, Armen and Galstyan, Aram},
  booktitle={Neural Information Processing Systems (NIPS).},
  year={2011}
}

A Sequence of Relaxations Constraining Hidden Variable Models. Ver Steeg, G.; and Galstyan, A. . 2011.
link bibtex 5 downloads

@article{ver2011sequence,
  title={A Sequence of Relaxations Constraining Hidden Variable Models},
  author={Ver Steeg, Greg and Galstyan, Aram},
  year={2011}
}

2010 (1)

Community detection with and without prior information. Allahverdyan, A. E; Ver Steeg, G.; and Galstyan, A. Europhysics Letters, 90(1): 18002. 2010.
link bibtex 3 downloads

@article{allahverdyan2010community,
  title={Community detection with and without prior information},
  author={Allahverdyan, Armen E and Ver Steeg, Greg and Galstyan, Aram},
  journal={Europhysics Letters},
  volume={90},
  number={1},
  pages={18002},
  year={2010},
  publisher={IOP Publishing}
}

2009 (2)

Maximizing influence propagation in networks with community structure. Galstyan, A.; Musoyan, V.; and Cohen, P. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 79(5): 056102. 2009.
link bibtex 1 download

@article{galstyan2009maximizing,
  title={Maximizing influence propagation in networks with community structure},
  author={Galstyan, Aram and Musoyan, Vahe and Cohen, Paul},
  journal={Physical Review E—Statistical, Nonlinear, and Soft Matter Physics},
  volume={79},
  number={5},
  pages={056102},
  year={2009},
  publisher={American Physical Society}
}

Tentacles: Self-configuring robotic radio networks in unknown environments. Chiu, H. C. H.; Ryu, B.; Zhu, H.; Szekely, P.; Maheswaran, R.; Rogers, C.; Galstyan, A.; Salemi, B.; Rubenstein, M.; and Shen, W. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1383–1388, 2009. IEEE
link bibtex

@inproceedings{chiu2009tentacles,
  title={Tentacles: Self-configuring robotic radio networks in unknown environments},
  author={Chiu, Harris Chi Ho and Ryu, Bo and Zhu, Hua and Szekely, Pedro and Maheswaran, Rajiv and Rogers, Craig and Galstyan, Aram and Salemi, Behnam and Rubenstein, Mike and Shen, Wei-Min},
  booktitle={2009 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={1383--1388},
  year={2009},
  organization={IEEE}
}

2008 (2)

Analysis of social voting patterns on digg. Lerman, K.; and Galstyan, A. In Proceedings of the first workshop on Online social networks, pages 7–12, 2008.
link bibtex 4 downloads

@inproceedings{lerman2008analysis,
  title={Analysis of social voting patterns on digg},
  author={Lerman, Kristina and Galstyan, Aram},
  booktitle={Proceedings of the first workshop on Online social networks},
  pages={7--12},
  year={2008}
}

Top-down vs bottom-up methodologies in multi-agent system design. Crespi, V.; Galstyan, A.; and Lerman, K. Autonomous Robots, 24: 303–313. 2008.
link bibtex

@article{crespi2008top,
  title={Top-down vs bottom-up methodologies in multi-agent system design},
  author={Crespi, Valentino and Galstyan, Aram and Lerman, Kristina},
  journal={Autonomous Robots},
  volume={24},
  pages={303--313},
  year={2008},
  publisher={Springer US}
}

2007 (2)

Cascading dynamics in modular networks. Galstyan, A.; and Cohen, P. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 75(3): 036109. 2007.
link bibtex 5 downloads

@article{galstyan2007cascading,
  title={Cascading dynamics in modular networks},
  author={Galstyan, Aram and Cohen, Paul},
  journal={Physical Review E—Statistical, Nonlinear, and Soft Matter Physics},
  volume={75},
  number={3},
  pages={036109},
  year={2007},
  publisher={American Physical Society}
}

Empirical comparison of “hard” and “soft” label propagation for relational classification. Galstyan, A.; and Cohen, P. R In International Conference on Inductive Logic Programming, pages 98–111, 2007. Springer Berlin Heidelberg Berlin, Heidelberg
link bibtex

@inproceedings{galstyan2007empirical,
  title={Empirical comparison of “hard” and “soft” label propagation for relational classification},
  author={Galstyan, Aram and Cohen, Paul R},
  booktitle={International Conference on Inductive Logic Programming},
  pages={98--111},
  year={2007},
  organization={Springer Berlin Heidelberg Berlin, Heidelberg}
}

2006 (1)

Analysis of dynamic task allocation in multi-robot systems. Lerman, K.; Jones, C.; Galstyan, A.; and Matarić, M. J The International Journal of Robotics Research, 25(3): 225–241. 2006.
link bibtex 5 downloads

@article{lerman2006analysis,
  title={Analysis of dynamic task allocation in multi-robot systems},
  author={Lerman, Kristina and Jones, Chris and Galstyan, Aram and Matari{\'c}, Maja J},
  journal={The International Journal of Robotics Research},
  volume={25},
  number={3},
  pages={225--241},
  year={2006},
  publisher={SAGE Publications}
}

2005 (3)

A review of probabilistic macroscopic models for swarm robotic systems. Lerman, K.; Martinoli, A.; and Galstyan, A. Swarm Robotics,143–152. 2005.
link bibtex 4 downloads

@article{lerman2005review,
  title={A review of probabilistic macroscopic models for swarm robotic systems},
  author={Lerman, Kristina and Martinoli, Alcherio and Galstyan, Aram},
  journal={Swarm Robotics},
  pages={143--152},
  year={2005},
  publisher={Springer}
}

Resource allocation in the grid with learning agents. Galstyan, A.; Czajkowski, K.; and Lerman, K. Journal of Grid Computing, 3: 91–100. 2005.
link bibtex

@article{galstyan2005resource,
  title={Resource allocation in the grid with learning agents},
  author={Galstyan, Aram and Czajkowski, Karl and Lerman, Kristina},
  journal={Journal of Grid Computing},
  volume={3},
  pages={91--100},
  year={2005},
  publisher={Springer Netherlands}
}

Modeling and mathematical analysis of swarms of microscopic robots. Galstyan, A.; Hogg, T.; and Lerman, K. In Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005., pages 201–208, 2005. IEEE
link bibtex 7 downloads

@inproceedings{galstyan2005modeling,
  title={Modeling and mathematical analysis of swarms of microscopic robots},
  author={Galstyan, Aram and Hogg, Tad and Lerman, Kristina},
  booktitle={Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.},
  pages={201--208},
  year={2005},
  organization={IEEE}
}

2004 (5)

Distributed online localization in sensor networks using a moving target. Galstyan, A.; Krishnamachari, B.; Lerman, K.; and Pattem, S. In Proceedings of the 3rd international symposium on Information processing in sensor networks, pages 61–70, 2004.
link bibtex

@inproceedings{galstyan2004distributed,
  title={Distributed online localization in sensor networks using a moving target},
  author={Galstyan, Aram and Krishnamachari, Bhaskar and Lerman, Kristina and Pattem, Sundeep},
  booktitle={Proceedings of the 3rd international symposium on Information processing in sensor networks},
  pages={61--70},
  year={2004}
}

Hormone-inspired self-organization and distributed control of robotic swarms. Shen, W.; Will, P.; Galstyan, A.; and Chuong, C. Autonomous Robots, 17(1): 93–105. 2004.
link bibtex 1 download

@article{shen2004hormone,
  title={Hormone-inspired self-organization and distributed control of robotic swarms},
  author={Shen, Wei-Min and Will, Peter and Galstyan, Aram and Chuong, Cheng-Ming},
  journal={Autonomous Robots},
  volume={17},
  number={1},
  pages={93--105},
  year={2004},
  publisher={Springer}
}

Resource allocation in the grid using reinforcement learning. Galstyan, A.; Czajkowski, K.; and Lerman, K. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004., volume 1, pages 1314–1315, 2004. IEEE Computer Society
link bibtex

@inproceedings{galstyan2004resource,
  title={Resource allocation in the grid using reinforcement learning},
  author={Galstyan, Aram and Czajkowski, Karl and Lerman, Kristina},
  booktitle={Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.},
  volume={1},
  pages={1314--1315},
  year={2004},
  organization={IEEE Computer Society}
}

Two paradigms for the design of artificial collectives. Lerman, K.; and Galstyan, A. In Collectives and the design of complex systems, pages 231–256. Springer New York New York, NY, 2004.
link bibtex 2 downloads

@incollection{lerman2004two,
  title={Two paradigms for the design of artificial collectives},
  author={Lerman, Kristina and Galstyan, Aram},
  booktitle={Collectives and the design of complex systems},
  pages={231--256},
  year={2004},
  publisher={Springer New York New York, NY}
}

Resource allocation and emergent coordination in wireless sensor networks. Galstyan, A.; Krishnamachari, B.; and Lerman, K. In AAAI Workshop on Sensor Networks, 2004.
link bibtex 3 downloads

@inproceedings{galstyan2004resource,
  title={Resource allocation and emergent coordination in wireless sensor networks},
  author={Galstyan, Aram and Krishnamachari, Bhaskar and Lerman, Kristina},
  booktitle={AAAI Workshop on Sensor Networks},
  year={2004}
}

2003 (3)

Resource allocation games with changing resource capacities. Galstyan, A.; Kolar, S.; and Lerman, K. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pages 145–152, 2003.
link bibtex 2 downloads

@inproceedings{galstyan2003resource,
  title={Resource allocation games with changing resource capacities},
  author={Galstyan, Aram and Kolar, Shashikiran and Lerman, Kristina},
  booktitle={Proceedings of the second international joint conference on Autonomous agents and multiagent systems},
  pages={145--152},
  year={2003}
}

Agent memory and adaptation in multi-agent systems. Lerman, K.; and Galstyan, A. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pages 797–803, 2003.
link bibtex 2 downloads

@inproceedings{lerman2003agent,
  title={Agent memory and adaptation in multi-agent systems},
  author={Lerman, Kristina and Galstyan, Aram},
  booktitle={Proceedings of the second international joint conference on Autonomous agents and multiagent systems},
  pages={797--803},
  year={2003}
}

Macroscopic analysis of adaptive task allocation in robots. Lerman, K.; and Galstyan, A. In Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003)(Cat. No. 03CH37453), volume 2, pages 1951–1956, 2003. IEEE
link bibtex

@inproceedings{lerman2003macroscopic,
  title={Macroscopic analysis of adaptive task allocation in robots},
  author={Lerman, Kristina and Galstyan, Aram},
  booktitle={Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003)(Cat. No. 03CH37453)},
  volume={2},
  pages={1951--1956},
  year={2003},
  organization={IEEE}
}

2002 (2)

Mathematical model of foraging in a group of robots: Effect of interference. Lerman, K.; and Galstyan, A. Autonomous Robots, 13(2): 127–141. 2002.
link bibtex 2 downloads

@article{lerman2002mathematical,
  title={Mathematical model of foraging in a group of robots: Effect of interference},
  author={Lerman, Kristina and Galstyan, Aram},
  journal={Autonomous Robots},
  volume={13},
  number={2},
  pages={127--141},
  year={2002},
  publisher={Springer}
}

Adaptive Boolean networks and minority games with time-dependent capacities. Galstyan, A.; and Lerman, K. Physical Review E, 66(1): 015103. 2002.
link bibtex

@article{galstyan2002adaptive,
  title={Adaptive Boolean networks and minority games with time-dependent capacities},
  author={Galstyan, Aram and Lerman, Kristina},
  journal={Physical Review E},
  volume={66},
  number={1},
  pages={015103},
  year={2002},
  publisher={APS}
}

2001 (2)

A macroscopic analytical model of collaboration in distributed robotic systems. Lerman, K.; Galstyan, A.; Martinoli, A.; and Ijspeert, A. Artificial Life, 7(4): 375–393. 2001.
link bibtex 2 downloads

@article{lerman2001macroscopic,
  title={A macroscopic analytical model of collaboration in distributed robotic systems},
  author={Lerman, Kristina and Galstyan, Aram and Martinoli, Alcherio and Ijspeert, Auke},
  journal={Artificial Life},
  volume={7},
  number={4},
  pages={375--393},
  year={2001},
  publisher={MIT Press}
}

A general methodology for mathematical analysis of multi-agent systems. Lerman, K.; and Galstyan, A. ISI-TR-529, USC Information Sciences Institute, Marina del Rey, CA. 2001.
link bibtex 1 download

@article{lerman2001general,
  title={A general methodology for mathematical analysis of multi-agent systems},
  author={Lerman, Kristina and Galstyan, Aram},
  journal={ISI-TR-529, USC Information Sciences Institute, Marina del Rey, CA},
  year={2001}
}

2000 (1)

Emission spectrum of a dipole in a semi-infinite periodic dielectric structure: effect of the boundary. Galstyan, A.; Raikh, M.; and Vardeny, Z. Physical Review B, 62(3): 1780. 2000.
link bibtex

@article{galstyan2000emission,
  title={Emission spectrum of a dipole in a semi-infinite periodic dielectric structure: effect of the boundary},
  author={Galstyan, AG and Raikh, ME and Vardeny, ZV},
  journal={Physical Review B},
  volume={62},
  number={3},
  pages={1780},
  year={2000},
  publisher={American Physical Society}
}

1997 (1)

Localization and conductance fluctuations in the integer quantum Hall effect: Real-space renormalization-group approach. Galstyan, A.; and Raikh, M. Physical Review B, 56(3): 1422. 1997.
link bibtex

@article{galstyan1997localization,
  title={Localization and conductance fluctuations in the integer quantum Hall effect: Real-space renormalization-group approach},
  author={Galstyan, AG and Raikh, ME},
  journal={Physical Review B},
  volume={56},
  number={3},
  pages={1422},
  year={1997},
  publisher={APS}
}