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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 \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 \n\n\n\n
\n\n\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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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{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 \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 \n\n\n\n
\n\n\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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@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 \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 \n\n\n\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 \n Detection as Regression: Certified Object Detection by Median Smoothing.\n \n \n \n\n\n \n Ping-Yeh Chiang; Michael J. Curry; Ahmed Abdelkader; Aounon Kumar; John Dickerson; and Tom Goldstein.\n\n\n \n\n\n\n In Neural Information Processing Systems (NeurIPS), 2020. \n \n\n\n\n
\n\n\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{chiang2020detection,\n    title={Detection as Regression: Certified Object Detection by Median Smoothing},\n    author={Ping-Yeh Chiang and Michael J. Curry and Ahmed Abdelkader and Aounon Kumar and John Dickerson and Tom Goldstein},\n    year={2020},\n    booktitle=nips\n}\n\n
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\n \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 \n\n\n\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 \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 \n\n\n\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 \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 \n\n\n\n
\n\n\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 \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 \n\n\n\n
\n\n\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{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\n \n \n \n \n \n Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare.\n \n \n \n\n\n \n Michael J. Curry; John P. Dickerson; Karthik Abinav Sankararaman; Aravind Srinivasan; Yuhao Wan; and Pan Xu.\n\n\n \n\n\n\n In Conference on Web and Internet Economics (WINE), 2019. \n \n\n\n\n
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@inproceedings{CurryDSSW19MixMatch,\n  author    = {Michael J. Curry and\n               John P. Dickerson and\n               Karthik Abinav Sankararaman and\n               Aravind Srinivasan and\n               Yuhao Wan and\n               Pan Xu},\n  title     = {Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare},\n  booktitle = wine,\n  year      = {2019},\n}\n\n
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\n \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 \n\n\n\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\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 \n\n\n\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 \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 \n\n\n\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 \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 \n\n\n\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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