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\n \n 2024\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n Automated Design of Affine Maximizer Mechanisms In Dynamic Settings.\n \n \n \n\n\n \n Michael J. Curry; Vinzenz Thoma; Darshan Chakrabarti; Stephen Marcus McAleer; Christian Kroer; Tuomas Sandholm; Niao He; and Sven Seuken.\n\n\n \n\n\n\n In
AAAI Conference on Artificial Intelligence, 2024. \n
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\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@inproceedings{curry2023automated,\n title={Automated Design of Affine Maximizer Mechanisms In Dynamic Settings},\n author={Curry, Michael J. and Thoma, Vinzenz and Chakrabarti, Darshan and McAleer, Stephen Marcus and Kroer, Christian and Sandholm, Tuomas and He, Niao and Seuken, Sven},\n year={2024},\n booktitle=AAAI\n}\n\n
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\n \n 2023\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Differentiable Economics for Randomized Affine Maximizer Auctions.\n \n \n \n\n\n \n Michael J. Curry; Tuomas Sandholm; and John P. Dickerson.\n\n\n \n\n\n\n In
International Joint Conference on Artificial Intelligence (IJCAI), 2023. \n
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@inproceedings{curry2023differentiable,\n author = {Michael J. Curry and\n Tuomas Sandholm and\n John P. Dickerson},\n title = {Differentiable Economics for Randomized Affine Maximizer Auctions},\n year = {2023},\n booktitle = IJCAI\n}\n\n
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\n\n \n \n \n \n \n Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning: Extended Abstract.\n \n \n \n\n\n \n Michael Curry; Alexander Trott; Soham Phade; Yu Bai; and Stephan Zheng.\n\n\n \n\n\n\n In
International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2023. \n
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@inproceedings{DBLP:journals/corr/abs-2201-01163,\n author = {Michael Curry and\n Alexander Trott and\n Soham Phade and\n Yu Bai and\n Stephan Zheng},\n title = {Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning: Extended Abstract},\n year = {2023},\n booktitle=AAMAS\n}\n\n
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\n \n 2022\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Certified Neural Network Watermarks with Randomized Smoothing.\n \n \n \n\n\n \n Arpit Bansal; Ping-Yeh Chiang; Michael J Curry; Rajiv Jain; Curtis Wigington; Varun Manjunatha; John P Dickerson; and Tom Goldstein.\n\n\n \n\n\n\n In
International Conference on Machine Learning (ICML), 2022. \n
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@InProceedings{pmlr-v162-bansal22a,\n title = {Certified Neural Network Watermarks with Randomized Smoothing},\n author = {Bansal, Arpit and Chiang, Ping-Yeh and Curry, Michael J and Jain, Rajiv and Wigington, Curtis and Manjunatha, Varun and Dickerson, John P and Goldstein, Tom},\n booktitle = ICML,\n year = {2022},\n}\n\n
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\n\n \n \n \n \n \n Learning Revenue-Maximizing Auctions With Differentiable Matching.\n \n \n \n\n\n \n Michael J. Curry; Uro Lyi; Tom Goldstein; and John Dickerson.\n\n\n \n\n\n\n In
Artificial Intelligence and Statistics, 2022. \n
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@inproceedings{DBLP:journals/corr/abs-2106-07877,\n author = {Michael J. Curry and\n Uro Lyi and\n Tom Goldstein and\n John Dickerson},\n title = {Learning Revenue-Maximizing Auctions With Differentiable Matching},\n booktitle=aistats,\n year = {2022},\n}\n
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\n \n 2021\n \n \n (4)\n \n \n
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\n\n \n \n \n \n \n Who Can be Matched via Kidney Exchange?.\n \n \n \n\n\n \n DC McElfresh; M Curry; SE Booker; D Stewart; M Stuart; R Leishman; T Sandholm; and J Dickerson.\n\n\n \n\n\n\n In
American Journal of Transplantation, 2021. \n
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@inproceedings{mcelfresh2021can,\n title={Who Can be Matched via Kidney Exchange?},\n author={McElfresh, DC and Curry, M and Booker, SE and Stewart, D and Stuart, M and Leishman, R and Sandholm, T and Dickerson, J},\n booktitle={American Journal of Transplantation},\n year={2021},\n}\n\n\n
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\n\n \n \n \n \n \n Globally Certifiable Deep Auctions.\n \n \n \n\n\n \n Ping-yeh Chiang; Michael J. Curry; Tom Goldstein; and John Dickerson.\n\n\n \n\n\n\n
In submission, available on request. 2021.\n
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@article{chiang2020global,\n author={Ping-yeh Chiang and Michael J. Curry and Tom Goldstein and John Dickerson},\n year={2021},\n title={Globally Certifiable Deep Auctions},\n journal=subrequest\n}\n\n
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\n\n \n \n \n \n \n PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.\n \n \n \n\n\n \n Neehar Peri; Michael J. Curry; Samuel Dooley; and John P. Dickerson.\n\n\n \n\n\n\n In
Neural Information Processing Systems (NeurIPS), 2021. \n
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@inproceedings{DBLP:journals/corr/abs-2106-03215,\n author = {Neehar Peri and\n Michael J. Curry and\n Samuel Dooley and\n John P. Dickerson},\n title = {PreferenceNet: Encoding Human Preferences in Auction Design with Deep\n Learning},\n year = {2021},\n booktitle=nips,\n}\n
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\n\n \n \n \n \n \n Scalable Equilibrium Computation in Multi-Player Influence Games on Networks.\n \n \n \n\n\n \n Fotini Christia; Michael J. Curry; Constantinos Daskalakis; Erik Demaine; John Dickerson; MohammadTaghi Hajiaghayi; Adam Hesterberg; Marina Knittel; and Aidan Milliff.\n\n\n \n\n\n\n In
AAAI Conference on Artificial Intelligence, 2021. \n
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@inproceedings{christia2020influence,\n title={Scalable Equilibrium Computation in Multi-Player Influence Games on Networks},\n author={Fotini Christia and Michael J. Curry and Constantinos Daskalakis and Erik Demaine and John Dickerson and MohammadTaghi Hajiaghayi and Adam Hesterberg and Marina Knittel and Aidan Milliff},\n year={2021},\n booktitle=aaai\n}\n\n
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\n \n 2020\n \n \n (6)\n \n \n
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\n\n \n \n \n \n \n Certified Watermarks for Neural Networks.\n \n \n \n\n\n \n Arpit Bansal; Ping-Yeh Chiang; Michael Curry; Varun Manjunatha; Rajiv Jain; and Tom Goldstein.\n\n\n \n\n\n\n
In submission, available on request. 2020.\n
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@article{chiang2020watermarks,\n title={Certified Watermarks for Neural Networks},\n author={Arpit Bansal and Ping-Yeh Chiang and Michael Curry and Varun Manjunatha and Rajiv Jain and Tom Goldstein},\n year={2020},\n journal=subrequest\n}\n\n
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\n\n \n \n \n \n \n ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.\n \n \n \n\n\n \n Kevin Kuo; Anthony Ostuni; Elizabeth Horishny; Michael J. Curry; Samuel Dooley; Ping-Yeh Chiang; Tom Goldstein; and John P. Dickerson.\n\n\n \n\n\n\n
CoRR, abs/2010.06398. 2020.\n
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@article{DBLP:journals/corr/abs-2010-06398,\n author = {Kevin Kuo and\n Anthony Ostuni and\n Elizabeth Horishny and\n Michael J. Curry and\n Samuel Dooley and\n Ping{-}Yeh Chiang and\n Tom Goldstein and\n John P. Dickerson},\n title = {ProportionNet: Balancing Fairness and Revenue for Auction Design with\n Deep Learning},\n journal = {CoRR},\n volume = {abs/2010.06398},\n year = {2020},\n archivePrefix = {arXiv},\n eprint = {2010.06398},\n timestamp = {Tue, 20 Oct 2020 15:08:10 +0200},\naddendum=workingpaper\n}\n
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\n\n \n \n \n \n \n Improving Policy-Constrained Kidney Exchange via Pre-Screening.\n \n \n \n\n\n \n Duncan McElfresh; Michael J. Curry; Tuomas Sandholm; and John Dickerson.\n\n\n \n\n\n\n In
Neural Information Processing Systems (NeurIPS), 2020. \n
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@inproceedings{mcelfresh2020prescreen,\n title={Improving Policy-Constrained Kidney Exchange via Pre-Screening},\n author={Duncan McElfresh and Michael J. Curry and Tuomas Sandholm and John Dickerson},\n year={2020},\n booktitle=nips\n}\n\n
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\n\n \n \n \n \n \n Certifying Strategyproof Auction Networks.\n \n \n \n\n\n \n Michael J. Curry; Ping-Yeh Chiang; Tom Goldstein; and John Dickerson.\n\n\n \n\n\n\n In
Neural Information Processing Systems (NeurIPS), 2020. \n
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@inproceedings{curry2020certifying,\n title={Certifying Strategyproof Auction Networks},\n author={Curry, Michael J. and Chiang, Ping-Yeh and Goldstein, Tom and Dickerson, John},\n booktitle=nips,\n year={2020},\n}\n\n
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\n\n \n \n \n \n \n Headless Horseman: Adversarial Attacks on Transfer Learning Models.\n \n \n \n\n\n \n Ahmed Abdelkader; Michael J. Curry; Liam Fowl; Tom Goldstein; Avi Schwarzschild; Manli Shu; Christoph Studer; and Chen Zhu.\n\n\n \n\n\n\n In
International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3087–3091, 2020. \n
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\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@inproceedings{AbdelkaderCFGSSSZ20headless,\n title={Headless Horseman: Adversarial Attacks on Transfer Learning Models},\n author={Abdelkader, Ahmed and Curry, Michael J. and Fowl, Liam and Goldstein, Tom and Schwarzschild, Avi and Shu, Manli and Studer, Christoph and Zhu, Chen},\n booktitle=icassp,\n pages={3087--3091},\n year={2020},\n}\n\n
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\n \n 2019\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Reinforcement Learning for Dynamic Set Packing.\n \n \n \n\n\n \n Michael J. Curry; Duncan McElFresh; Xuchen You; Cameron Moy; Furong Huang; Tom Goldstein; and John P. Dickerson.\n\n\n \n\n\n\n In
Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019. \n
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@inproceedings{CurryWineDynamic19,\n author = {Michael J. Curry and Duncan McElFresh and Xuchen You and Cameron Moy and Furong Huang and Tom Goldstein and John P. Dickerson},\n title = {Reinforcement Learning for Dynamic Set Packing},\n booktitle = "Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM)",\n year = {2019}\n}\n\n
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\n \n 2013\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies.\n \n \n \n\n\n \n Lindsay Walker; Michael J. Curry; Amritha Nayak; Nicholas Lange; Carlo Pierpaoli; and Brain Development Cooperative Group.\n\n\n \n\n\n\n
Human brain mapping, 34(10): 2439–2454. 2013.\n
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@article{walker2013framework,\n title={A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies},\n author={Walker, Lindsay and Curry, Michael J. and Nayak, Amritha and Lange, Nicholas and Pierpaoli, Carlo and Brain Development Cooperative Group},\n journal={Human brain mapping},\n volume={34},\n number={10},\n pages={2439--2454},\n year={2013},\n publisher={Wiley Online Library}\n}\n
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\n \n 2012\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Diffusion Tensor Uncertainty: Visualization and Similarity Metrics.\n \n \n \n\n\n \n Mustafa Okan Irfanoglu; Michael J. Curry; Evren Özarslan; Cheng Guan Koay; Sinisa Pajevic; and Peter J Basser.\n\n\n \n\n\n\n In
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), 2012. \n
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@inproceedings{irfanogludiffusion,\n title={Diffusion Tensor Uncertainty: Visualization and Similarity Metrics},\n author={Irfanoglu, Mustafa Okan and Curry, Michael J. and {\\"O}zarslan, Evren and Koay, Cheng Guan and Pajevic, Sinisa and Basser, Peter J},\n booktitle = ismrm,\n year = {2012},\n}\n\n
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\n\n \n \n \n \n \n Impact of the Analysis of Phantoms on Data Quality for the DTI Component of the NIH MRI Study of Normal Brain Development.\n \n \n \n\n\n \n Lindsay Walker; Michael J. Curry; Nayak Amritha; Nicholas Lange; Carlo Pierpaoli; and The Brain Development Cooperative Group.\n\n\n \n\n\n\n In
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), 2012. \n
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@inproceedings{walker2012framework,\ntitle={Impact of the Analysis of Phantoms on Data Quality for the DTI Component of the NIH MRI Study of Normal Brain Development},\nbooktitle=ismrm,\nauthor={Walker, Lindsay and Curry, Michael J. and Nayak Amritha and Lange, Nicholas and Pierpaoli, Carlo and The Brain Development Cooperative Group},\nyear={2012},\n}\n
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\n \n 2011\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n Bias in Diffusion Tensor-Derived Quantities Depend on The Number of DWIs Composing The DT-MRI Dataset.\n \n \n \n\n\n \n Firouzeh Tannazi; Lindsay Walker; Michael J. Curry; and Carlo Pierpaoli.\n\n\n \n\n\n\n In
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), 2011. \n
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@inproceedings{tannazi1939bias,\n title={Bias in Diffusion Tensor-Derived Quantities Depend on The Number of DWIs Composing The DT-MRI Dataset},\n author={Tannazi, Firouzeh and Walker, Lindsay and Curry, Michael J. and Pierpaoli, Carlo},\n booktitle=ismrm,\n year={2011},\n}\n
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