Thomas Rainforth
11 papers · 2019–2023 · 1 conference · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Cross-Pollinator (15)
π
Century Club
(11)
ποΈ
Keyword Collector
(58)
Conferences
NIPS (11)
Top co-authors
Keywords
variational inference
(4)
bayesian inference
(3)
diffusion model
(2)
markov chain
(2)
generative model
(2)
stochastic process
(2)
experimental design
(1)
machine learning fairness
(1)
self-attention mechanism
(1)
deep learning
(1)
likelihood-free inference
(1)
state estimation
(1)
probabilistic modeling
(1)
optimal experimental design
(1)
probabilistic programming
(1)
model evaluation
(1)
video generation
(1)
parameter learning
(1)
amortized inference
(1)
online learning
(1)
Papers
Deep Stochastic Processes via Functional Markov Transition Operators
NIPS 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
NIPS 2023
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
NIPS 2022
A Continuous Time Framework for Discrete Denoising Models
NIPS 2022
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
NIPS 2021
Group Equivariant Subsampling
NIPS 2021
Online Variational Filtering and Parameter Learning
NIPS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
NIPS 2021
On the Fairness of Disentangled Representations
NIPS 2019
Variational Bayesian Optimal Experimental Design
NIPS 2019