Independent and decentralized learning in markov potential games C Maheshwari, M Wu, D Pai, S Sastry arXiv preprint arXiv:2205.14590, 2022 | 10 | 2022 |
White-Box Transformers via Sparse Rate Reduction Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, BD Haeffele, Y Ma arXiv preprint arXiv:2306.01129, 2023 | 6 | 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 | 5 | 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 | 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 |
Representation Learning via Manifold Flattening and Reconstruction M Psenka, D Pai, V Raman, S Sastry, Y Ma arXiv preprint arXiv:2305.01777, 2023 | 1 | 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 | | 2023 |
Learning Low-Dimensional Structure via Closed-Loop Transcription: Equilibria and Optimization D Pai | | 2023 |