🏢 UC Irvine

SpatioTemporal Video Diffusion (STVD) revolutionizes precipitation downscaling using a novel diffusion model, achieving state-of-the-art accuracy in super-resolution while capturing crucial distributi…

Fed-POE: A personalized federated learning algorithm for superior real-time predictions!

Adaptive multi-model ensemble conformal prediction achieves strongly adaptive regret, yielding more efficient prediction sets in dynamic environments.

Learned Mixture Density Particle Smoother (MDPS) surpasses state-of-the-art for accurate, differentiable city-scale vehicle localization.

AI agents efficiently learn Nash equilibria in adversarial team Markov games using a novel learning algorithm with polynomial complexity, resolving prior limitations.

GFNSeqEditor, a novel biological sequence editing algorithm, efficiently enhances desired properties while minimizing edits using generative flow networks, surpassing existing methods.

Conditional Conjugate Integrators (CCI) drastically accelerate sampling in iterative refinement models for inverse problems, achieving high-quality results with only a few steps.

FairWire tackles structural bias in graph machine learning, proposing a novel fairness regularizer and a fair graph generation framework for unbiased link prediction and graph generation.

Simulation-free flow generates conditional distributions via dynamic conditional optimal transport.