David Barber
35 papers · 2006–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David Barber?
5 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 Mingtian Zhang, Thomas Bird, Peter Hayes
12 papers
· 2018–2025
· ICLR, ICML, NeurIPS
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Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
ICLR 2025
Training Neural Samplers with Reverse Diffusive KL Divergence
AISTATS 2025
Active Preference Learning for Large Language Models
ICML 2024
Diffusive Gibbs Sampling
ICML 2024
Moment Matching Denoising Gibbs Sampling
NeurIPS 2023
Generalization Gap in Amortized Inference
NeurIPS 2022
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
ICLR 2021
HiLLoC: lossless image compression with hierarchical latent variable models
ICLR 2020
Spread Divergence
ICML 2020
Auxiliary Variational MCMC
ICLR 2019
Practical lossless compression with latent variables using bits back coding
ICLR 2019
Modular Networks: Learning to Decompose Neural Computation
NeurIPS 2018
10 papers whose co-authors appear nowhere else under this name
From Characters to Tokens: Dynamic Grouping with Hierarchical BPE
EMNLP 2025
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
MIDL 2022
Improving Gaussian mixture latent variable model convergence with Optimal Transport
ACML 2021
Generative Neural Machine Translation
NeurIPS 2018
Thinking Fast and Slow with Deep Learning and Tree Search
NeurIPS 2017
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
ICML 2014
Switch-Reset Models : Exact and Approximate Inference
AISTATS 2011
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
NeurIPS 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
JMLR 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
NeurIPS 2006