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Michael Psenka
Michael Psenka
PhD Student, EECS, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
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Cited by
Year
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ...
arXiv preprint arXiv:2111.06636, 2021
29*2021
Pursuit of a discriminative representation for multiple subspaces via sequential games
D Pai, M Psenka, CY Chiu, M Wu, E Dobriban, Y Ma
arXiv preprint arXiv:2206.09120, 2022
62022
Representation learning via manifold flattening and reconstruction
M Psenka, D Pai, V Raman, S Sastry, Y Ma
arXiv preprint arXiv:2305.01777, 2023
42023
Second-order optimization for tensors with fixed tensor-train rank
M Psenka, N Boumal
arXiv preprint arXiv:2011.13395, 2020
42020
A proof of the triangular Ashbaugh–Benguria–Payne–Pólya–Weinberger inequality
R Arbon, M Mannan, M Psenka, S Ragavan
Journal of Spectral Theory 12 (2), 515-533, 2022
22022
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
M Psenka, A Escontrela, P Abbeel, Y Ma
arXiv preprint arXiv:2312.11752, 2023
2023
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot
N Rahmanian, M Gupta, R Soatto, S Nachuri, M Psenka, Y Ma, SS Sastry
arXiv preprint arXiv:2312.03024, 2023
2023
Using the Gaussianized Coding Rate for Generative Modeling
M Psenka, V Raman, P Tong
2023
Integrating Deep Learning with the Theory of Nonlinear, Chaotic, and History-Dependent Dynamics
M Psenka
2021
Reconstruction Without Registration
M Psenka, T Birdal, L Guibas
IROS 2020 Workshop: Geometric Methods. https://sites.google.com/view …, 2020
2020
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