2 papers
cs.LG2026
Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles
Zhanghan Ni, Yanjing Li, Zeju Qiu +4
Generative models have recently advanced protein design by learning the statistical regularities of natural structures. However, current approaches face three ke…
cs.LG2024
A Probabilistic Model Behind Self-Supervised Learning
Alice Bizeul, Bernhard Schölkopf, Carl Allen
In self-supervised learning (SSL), representations are learned via an auxiliary task without annotated labels. A common task is to classify augmentations or different modalities of…