| White-box transformers via sparse rate reduction Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Independent and decentralized learning in markov potential games C Maheshwari, M Wu, D Pai, S Sastry arXiv preprint arXiv:2205.14590, 2022 | 14 | 2022 |
| Emergence of segmentation with minimalistic white-box transformers Y Yu, T Chu, S Tong, Z Wu, D Pai, S Buchanan, Y Ma arXiv preprint arXiv:2308.16271, 2023 | 10 | 2023 |
| Pursuit of a discriminative representation for multiple subspaces via sequential games D Pai, M Psenka, CY Chiu, M Wu, E Dobriban, Y Ma arXiv preprint arXiv:2206.09120, 2022 | 6 | 2022 |
| Representation learning via manifold flattening and reconstruction M Psenka, D Pai, V Raman, S Sastry, Y Ma arXiv preprint arXiv:2305.01777, 2023 | 4 | 2023 |
| Closed-loop transcription via convolutional sparse coding X Dai, K Chen, S Tong, J Zhang, X Gao, M Li, D Pai, Y Zhai, XI Yuan, ... arXiv preprint arXiv:2302.09347, 2023 | 3 | 2023 |
| White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, H Bai, Y Zhai, ... arXiv preprint arXiv:2311.13110, 2023 | 1 | 2023 |
| Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area C Maheshwari, K Kulkarni, D Pai, J Yang, M Wu, S Sastry arXiv preprint arXiv:2401.16844, 2024 | | 2024 |
| Masked Completion via Structured Diffusion with White-Box Transformers D Pai, Z Wu, S Buchanan, T Chu, Y Yu, Y Ma Conference on Parsimony and Learning (Recent Spotlight Track), 2023 | | 2023 |
| Learning Low-Dimensional Structure via Closed-Loop Transcription: Equilibria and Optimization D Pai | | 2023 |
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong KongVerified email at eecs.berkeley.edu
