Statistical Learning
Smoothed Online Learning for Prediction in Piecewise Affine Systems
PW A systems allow for discontinuities across the separate regions ("pieces"), and are thus a simplified
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Tweedie's formula, we show that we can perform gradient steps to sequentially optimize these objectives.
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Most applications of machine learning to classification assume a closed set of balanced classes.
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model Kenneth Li
This intervention significantly improves the performance of LLaMA models on the TruthfulQA benchmark.
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Cryo-electron microscopy (cryo-EM) is an experimental technique for protein structure determination that images an ensemble of macromolecules in near-physiological contexts. While recent advances enable the reconstruction of dynamic conformations of a single biomolecular complex, current methods do not adequately model samples with mixed conformational and compositional heterogeneity. In particular, datasets containing mixtures of multiple proteins require the joint inference of structure, pose, compositional class, and conformational states for 3D reconstruction.
