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发表论文10 篇

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年均产出3.3 篇/年

Tom Rainforth

Associate Professor@University of Oxford·英国·OpenReview

研究方向

experimental design · Bayesian experimental design · optimal experimental design · active learning · Bayesian uncertainty · deep generative models · variational autoencoders · approximate inference · variational inference · Monte Carlo methods · probabilistic programming

BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

ICLR 2026Poster

DiffBED: Scaling Bayesian Experimental Design to High-Dimensions

ICLR 2026Poster

Improving Active-Learning Evaluation, with Applications to Protein-Property Prediction

ICLR 2026Rejected

Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design

ICML 2025Poster

Shh, don't say that! Domain Certification in LLMs

ICLR 2025Poster

Scaling Up Active Testing to Large Language Models

NeurIPS 2025Poster

Do Bayesian Neural Networks Actually Behave Like Bayesian Models?

ICML 2025Poster

Rethinking Aleatoric and Epistemic Uncertainty

ICML 2025Poster

合作者 (20)

Freddie Bickford Smith

Richard Michael