Michael Psenka

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Diffusion Model

Scene Representation

Top Venues

J. Frankl. Inst.

Publications

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)
Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma
Representation Learning via Manifold Flattening and Reconstruction. CoRR (2023)
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 (2023)
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
Learning a Diffusion Model Policy from Rewards via Q-Score Matching. 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)
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) (2022)
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 (2021)