Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operatorsby Yiming Fan, Habib…
TRADE: Transfer of Distributions between External Conditions with Normalizing Flowsby Stefan Wahl, Armand Rousselot, Felix…
Noise-Aware Differentially Private Variational Inferenceby Talal Alrawajfeh, Joonas Jälkö, Antti HonkelaFirst submitted to arxiv on:…
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computingby Chao Li, Zhicheng…
A prescriptive theory for brain-like inferenceby Hadi Vafaii, Dekel Galor, Jacob L. YatesFirst submitted to…
Conditional diffusions for amortized neural posterior estimationby Tianyu Chen, Vansh Bansal, James G. ScottFirst submitted…
Scalable Random Feature Latent Variable Modelsby Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang,…
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Frameworkby Xu-Hui Zhou, Zhuo-Ran Liu,…
A Trust-Region Method for Graphical Stein Variational Inferenceby Liam Pavlovic, David M. RosenFirst submitted to…
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New…