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.
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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 José Miguel Hernández-Lobato, John Bradshaw, Matt J Kusner
7 papers
· 2017–2024
· NeurIPS, ICML, ICLR
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Diffusive Gibbs Sampling
ICML 2024
Moment Matching Denoising Gibbs Sampling
NeurIPS 2023
Barking up the right tree: an approach to search over molecule synthesis DAGs
NeurIPS 2020
A Generative Model For Electron Paths
ICLR 2019
A Model to Search for Synthesizable Molecules
NeurIPS 2019
Learning a Generative Model for Validity in Complex Discrete Structures
ICLR 2018
Grammar Variational Autoencoder
ICML 2017
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