Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchmentsby Rohitash Chandra,…
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring…
Discrete Flow Matchingby Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen,…
How to Shrink Confidence Sets for Many Equivalent Discrete Distributions?by Odalric-Ambrym Maillard, Mohammad Sadegh TalebiFirst…
SoftCVI: Contrastive variational inference with self-generated soft labelsby Daniel Ward, Mark Beaumont, Matteo FasioloFirst submitted…
Estimating Probability Densities with Transformer and Denoising Diffusionby Henry W. Leung, Jo Bovy, Joshua S.…
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiencyby Xuexin…
Statistical Significance of Feature Importance Rankingsby Jeremy Goldwasser, Giles HookerFirst submitted to arxiv on: 28…
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problemsby Yanjie Zhong, Jiaqi Li,…