Brooks Paige
26 papers · 2013–2026 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Brooks Paige?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Frank Wood, Siddharth N, Philip Torr
8 papers
· 2014–2021
· NeurIPS, ICML, ICLR
Hide ▲
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
ICLR 2021
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
NeurIPS 2019
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
NeurIPS 2017
Black-Box Policy Search with Probabilistic Programs
AISTATS 2016
Inference Networks for Sequential Monte Carlo in Graphical Models
ICML 2016
Interacting Particle Markov Chain Monte Carlo
ICML 2016
A Compilation Target for Probabilistic Programming Languages
ICML 2014
Asynchronous Anytime Sequential Monte Carlo
NeurIPS 2014
11 papers whose co-authors appear nowhere else under this name
COBALT: Censored Optimization and Bayesian Active Learning Techniques
UAI 2026
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
ICML 2025
Analysing the Generalisation and Reliability of Steering Vectors
NeurIPS 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
NeurIPS 2024
Gaussian Processes on Cellular Complexes
ICML 2024
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
AISTATS 2022
Learning Bijective Feature Maps for Linear ICA
AISTATS 2021
Data Generation for Neural Programming by Example
AISTATS 2020
Goal-directed Generation of Discrete Structures with Conditional Generative Models
NeurIPS 2020
Structured Disentangled Representations
AISTATS 2019
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
NeurIPS 2013