| A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies L Walker, M Curry, A Nayak, N Lange, C Pierpaoli, ... Human brain mapping 34 (10), 2439-2454, 2013 | 33 | 2013 |
| Detection as regression: Certified object detection with median smoothing P Chiang, M Curry, A Abdelkader, A Kumar, J Dickerson, T Goldstein Advances in Neural Information Processing Systems 33, 1275-1286, 2020 | 27 | 2020 |
| Certifying strategyproof auction networks M Curry, PY Chiang, T Goldstein, J Dickerson Advances in Neural Information Processing Systems 33, 4987-4998, 2020 | 21 | 2020 |
| Proportionnet: Balancing fairness and revenue for auction design with deep learning K Kuo, A Ostuni, E Horishny, MJ Curry, S Dooley, P Chiang, T Goldstein, ... arXiv preprint arXiv:2010.06398, 2020 | 14 | 2020 |
| Preferencenet: Encoding human preferences in auction design with deep learning N Peri, M Curry, S Dooley, J Dickerson Advances in Neural Information Processing Systems 34, 17532-17542, 2021 | 12 | 2021 |
| Learning revenue-maximizing auctions with differentiable matching MJ Curry, U Lyi, T Goldstein, JP Dickerson International Conference on Artificial Intelligence and Statistics, 6062-6073, 2022 | 10 | 2022 |
| Differentiable Economics for Randomized Affine Maximizer Auctions M Curry, T Sandholm, J Dickerson arXiv preprint arXiv:2202.02872, 2022 | 9 | 2022 |
| Certified Neural Network Watermarks with Randomized Smoothing A Bansal, P Chiang, MJ Curry, R Jain, C Wigington, V Manjunatha, ... International Conference on Machine Learning, 1450-1465, 2022 | 5 | 2022 |
| Mix and match: Markov chains and mixing times for matching in rideshare M Curry, JP Dickerson, KA Sankararaman, A Srinivasan, Y Wan, P Xu Web and Internet Economics: 15th International Conference, WINE 2019, New …, 2019 | 5 | 2019 |
| Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning M Curry, A Trott, S Phade, Y Bai, S Zheng arXiv preprint arXiv:2201.01163, 2022 | 4 | 2022 |
| Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo A Acevedo, M Curry, SH Joshi, B Leroux, N Malaya 2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS), 40-47, 2020 | 4 | 2020 |
| Headless horseman: Adversarial attacks on transfer learning models A Abdelkader, MJ Curry, L Fowl, T Goldstein, A Schwarzschild, M Shu, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Improving policy-constrained kidney exchange via pre-screening D McElfresh, M Curry, T Sandholm, J Dickerson Advances in Neural Information Processing Systems 33, 2674-2685, 2020 | 3 | 2020 |
| Scalable equilibrium computation in multi-agent influence games on networks F Christia, M Curry, C Daskalakis, E Demaine, JP Dickerson, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5277-5285, 2021 | 2 | 2021 |
| Extended High Efficiency Computed Tomography with Optimized Recursions WR Jarisch, MJ Curry, PJ Basser Microscopy and Microanalysis 24 (S1), 528-529, 2018 | 2 | 2018 |
| Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning M Curry, A Trott, S Phade, Y Bai, S Zheng Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Neural Auctions Compromise Bidder Information A Stein, A Schwarzschild, M Curry, T Goldstein, J Dickerson arXiv preprint arXiv:2303.00116, 2023 | | 2023 |
| Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning M Curry, A Trott, S Phade, Y Bai, S Zheng arXiv. org Papers, 2022 | | 2022 |
| Learning and Robustness with Applications to Mechanism Design MJ Curry University of Maryland, College Park, 2022 | | 2022 |
| Who Can be Matched via Kidney Exchange? DC McElfresh, M Curry, SE Booker, D Stewart, M Stuart, R Leishman, ... AMERICAN JOURNAL OF TRANSPLANTATION 21, 749-750, 2021 | | 2021 |
