Rob Brekelmans
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π Conference Polyglot (5)
π
Academic Marathon
(7)
π
Cross-Pollinator
(4)
π
Century Club
(13)
π₯
Unstoppable
(8)
Conferences
ICML (5)
NIPS (4)
ICLR (2)
AISTATS (1)
UAI (1)
Top co-authors
Keywords
variational inference
(4)
variational autoencoder
(3)
mutual information
(2)
optimal transport
(2)
exponential family
(1)
kl divergence
(1)
representation learning
(1)
stochastic differential equation
(1)
bayesian inference
(1)
sequential monte carlo
(1)
gaussian process
(1)
rate distortion
(1)
annealed importance sampling
(1)
generative model
(1)
bandit optimization
(1)
latent representation
(1)
adversarial training
(1)
action matching
(1)
generative modeling
(1)
information theory
(1)
Papers
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
ICML 2025
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
ICML 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
NIPS 2024
A Computational Framework for Solving Wasserstein Lagrangian Flows
ICML 2024
Information-Theoretic Diffusion
ICLR 2023
Action Matching: Learning Stochastic Dynamics from Samples
ICML 2023
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
ICLR 2022
q-Paths: Generalizing the geometric annealing path using power means
UAI 2021
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
ICML 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
NIPS 2020
Auto-Encoding Total Correlation Explanation
AISTATS 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
NIPS 2019
Invariant Representations without Adversarial Training
NIPS 2018