Thomas Rainforth

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Stochastic Process

Diffusion Models

Vector Representation

Parameter Learning

Top Venues

Publications

Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS (2023)
Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh
Deep Stochastic Processes via Functional Markov Transition Operators. NeurIPS (2023)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. NeurIPS (2022)
Tim Reichelt, Luke Ong, Thomas Rainforth
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support. NeurIPS (2022)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. NeurIPS (2022)
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. NeurIPS (2021)
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Thomas Rainforth, Yarin Gal
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. NeurIPS (2021)
Andrew Campbell, Yuyang Shi, Thomas Rainforth, Arnaud Doucet
Online Variational Filtering and Parameter Learning. NeurIPS (2021)
Jin Xu, Hyunjik Kim, Thomas Rainforth, Yee Whye Teh
Group Equivariant Subsampling. NeurIPS (2021)
Francesco Locatello, Gabriele Abbati, Thomas Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem
On the Fairness of Disentangled Representations. NeurIPS (2019)