Sotabase

Career

· Co-Head Instructor, UC Berkeley2022–2022
· PhD Student, EECS/AI, UC Berkeley2021–2026

Publications (13)

Learning a Diffusion Model Policy from Rewards via Q-Score Matching
International Conference on Machine Learning · 2023
68
cited
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction
Entropy · 2021
32
cited
Representation Learning via Manifold Flattening and Reconstruction
Journal of machine learning research · 2023
15
cited
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games
Journal of the Franklin Institute · 2022
6
cited
Second-order optimization for tensors with fixed tensor-train rank.
2020
4
cited
A proof of the triangular Ashbaugh–Benguria–Payne–Pólya–Weinberger inequality
Journal of Spectral Theory · 2020
2
cited
CS 70 Discrete Mathematics and Probability Theory Summer 2022
2022
Discrete Conditional Probability, Independence, and Combinations of Events
2020
From HR to the C-Suite: Speaking the Same Language
2013
Inequalities and the Laws of Large Numbers
2020
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot
arXiv.org · 2023
To Infinity And Beyond: Countability and Computability
2022
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Michael Psenka | Researcher Profile | Sotabase | Sotabase