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2020 – today
- 2024
[j3]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)- [c1]Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma:
Learning a Diffusion Model Policy from Rewards via Q-Score Matching. ICML 2024 - 2023
- [j2]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) - [i5]Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
Representation Learning via Manifold Flattening and Reconstruction. CoRR abs/2305.01777 (2023) - [i4]Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry:
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot. CoRR abs/2312.03024 (2023) - [i3]Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma:
Learning a Diffusion Model Policy from Rewards via Q-Score Matching. CoRR abs/2312.11752 (2023) - 2022
- [j1]Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24(4): 456 (2022) - [i2]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) - 2021
- [i1]Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR abs/2111.06636 (2021)
Coauthor Index
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