Michael Psenka

According to our database, Michael Psenka authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Representation Learning via Manifold Flattening and Reconstruction.

Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma

J. Mach. Learn. Res., 2024

Learning a Diffusion Model Policy from Rewards via Q-Score Matching.

Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Pursuit of a discriminative representation for multiple subspaces via sequential games.

Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma

J. Frankl. Inst., 2023

Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot.

Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry

CoRR, 2023

2022

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.

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

Entropy, 2022

2021

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.

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

CoRR, 2021