Rob Brekelmans
13 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
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Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Deep Learning
(8)
Models
(8)
Core Methods
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
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(1)
Keywords
variational inference
(6)
variational autoencoder
(4)
sequential monte carlo
(3)
mutual information
(3)
optimal transport
(3)
kl divergence
(2)
information theory
(2)
bayesian inference
(1)
gaussian process
(1)
representation learning
(1)
deep learning
(1)
importance sampling
(1)
adversarial training
(1)
image generation
(1)
rate distortion
(1)
exponential family
(1)
log-partition function
(1)
annealed importance sampling
(1)
generative model
(1)
contrastive learning
(1)
Papers
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
ICML 2025
A Computational Framework for Solving Wasserstein Lagrangian Flows
ICML 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
NeurIPS 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
ICML 2024
Action Matching: Learning Stochastic Dynamics from Samples
ICML 2023
Information-Theoretic Diffusion
ICLR 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
NeurIPS 2020
Auto-Encoding Total Correlation Explanation
AISTATS 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
NeurIPS 2019
Invariant Representations without Adversarial Training
NeurIPS 2018