Denis Blessing
10 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 👑 Triple Crown 💎 Century Club · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(7)
Models
(6)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Learning Types
(3)
Robotics
(2)
Architectures
(2)
Core AI
(2)
Methods
(2)
Applications · Reinforcement Learning
(1)
Applications · Robotics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
variational inference
(4)
diffusion model
(3)
imitation learning
(3)
mode collapse
(2)
mixture of expert
(2)
sampling method
(2)
unnormalized density
(2)
optimal transport
(1)
policy iteration
(1)
curriculum learning
(1)
sequential monte carlo
(1)
high-dimensional control
(1)
robot control
(1)
score matching
(1)
behavior cloning
(1)
state space model
(1)
posterior sampling
(1)
generative model
(1)
robot manipulation
(1)
knowledge distillation
(1)
Papers
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
ICML 2025
End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
ICLR 2025
Sequential Controlled Langevin Diffusions
ICLR 2025
Underdamped Diffusion Bridges with Applications to Sampling
ICLR 2025
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
ICML 2024
MaIL: Improving Imitation Learning with Selective State Space Models
CoRL 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
ICLR 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
ICLR 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
NeurIPS 2024
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
NeurIPS 2023