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2020 – today
- 2024
[j2]Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
Representation Learning via Manifold Flattening and Reconstruction. J. Mach. Learn. Res. 25: 132:1-132:47 (2024)- [c3]Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR 2024 - [c2]Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu
, Yi Ma:
A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML 2024 - [i11]Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry:
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR abs/2401.16844 (2024) - [i10]Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR abs/2404.02446 (2024) - [i9]Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie:
Scaling White-Box Transformers for Vision. CoRR abs/2405.20299 (2024) - [i8]Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma:
A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR abs/2406.01909 (2024) - 2023
- [j1]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. 360(6): 4135-4171 (2023) - [c1]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction. NeurIPS 2023 - [i7]Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma:
Closed-Loop Transcription via Convolutional Sparse Coding. CoRR abs/2302.09347 (2023) - [i6]Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
Representation Learning via Manifold Flattening and Reconstruction. CoRR abs/2305.01777 (2023) - [i5]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction. CoRR abs/2306.01129 (2023) - [i4]Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma:
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR abs/2308.16271 (2023) - [i3]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR abs/2311.13110 (2023) - 2022
- [i2]Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry:
Independent and Decentralized Learning in Markov Potential Games. CoRR abs/2205.14590 (2022) - [i1]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR abs/2206.09120 (2022)
Coauthor Index
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