Druv Pai

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Source Code Metrics

Scene Representation

Complexity Reduction

Top Venues

J. Frankl. Inst.

Publications

Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR (2024)
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 (2024)
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR (2024)
Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
Scaling White-Box Transformers for Vision. CoRR (2024)
Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR (2024)
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) (2023)
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 (2023)
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)
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR (2023)
Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma
Representation Learning via Manifold Flattening and Reconstruction. CoRR (2023)
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 (2023)
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 (2023)
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 (2022)
Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
Independent and Decentralized Learning in Markov Potential Games. CoRR (2022)