Mark Beaumont
4 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
Venues
Top co-authors
Research topics
Keywords
bayesian inference
(2)
probabilistic modeling
(1)
variational inference
(1)
domain adaptation
(1)
model misspecification
(1)
likelihood-free inference
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
f-divergence
(1)
consistency
(1)
posterior approximation
(1)
simulation-based inference
(1)
score-based diffusion model
(1)
simulator-based model
(1)
velocity field
(1)
sequential training
(1)
neural posterior estimation
(1)
model criticism
(1)
interpolation technique
(1)
density-ratio function
(1)
Papers
SoftCVI: Contrastive variational inference with self-generated soft labels
ICLR 2025
Minimizing f-Divergences by Interpolating Velocity Fields
ICML 2024
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
ICML 2024
Robust Neural Posterior Estimation and Statistical Model Criticism
NeurIPS 2022