DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detectionby…
Path-Guided Particle-based Samplingby Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning QianFirst submitted to arxiv on:…
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNsby Ram ZaveriFirst submitted to arxiv on:…
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inferenceby Xiaojie Yu, Haibo…
sbi reloaded: a toolkit for simulation-based inference workflowsby Jan Boelts, Michael Deistler, Manuel Gloeckler, Álvaro…
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modellingby Alexander Capstick, Rahul…
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Setsby Charita Dellaporta,…
Why you don’t overfit, and don’t need Bayes if you only train for one epochby…
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Databy Kai Helli, David Schnurr, Noah…
Modeling human decomposition: a Bayesian approachby D. Hudson Smith, Noah Nisbet, Carl Ehrett, Cristina I.…