Yubei Chen

Assistant Professor@University of California, Davis·美国·OpenReview

研究方向

Manifold Learning · Non-linear dimensional reduction · Sparse Coding · Dictionary Learning · Energy-based models · Factorized representation · Unsupervised representation learning · Generative models · Self-supervised learning

4.0

When Models Know When They Do Not Know: Calibration, Cascading and Cleaning

ICLR 2026Rejected

通讯

3.5

Semantic Optimal Lossless Vector Quantization

ICLR 2026Withdrawn

三作

3.0

Towards WhiteBox Generative Models: Scaling Non-Parametric Sampling with Representation

ICLR 2026Withdrawn

通讯

3.0

Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning

合作者 (20)

Yubei Chen

When Models Know When They Do Not Know: Calibration, Cascading and Cleaning

Semantic Optimal Lossless Vector Quantization

Towards WhiteBox Generative Models: Scaling Non-Parametric Sampling with Representation

Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning

Clone Deterministic 3D Worlds with Geometrically Regularized World Models

URLOST: Unsupervised Representation Learning without Stationarity or Topology

Variance-Covariance Regularization Improves Representation Learning