Alexandre Galashov
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (30)
π₯
Mega-Team Β· Squad
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(60)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
transfer learning
(3)
diffusion model
(3)
continual learning
(3)
information bottleneck
(2)
policy cloning
(2)
neural network
(2)
image generation
(1)
bayesian inference
(1)
offline reinforcement learning
(1)
variational inference
(1)
imitation learning
(1)
few-shot learning
(1)
uncertainty quantification
(1)
posterior distribution
(1)
probabilistic modeling
(1)
hierarchical reinforcement learning
(1)
gaussian process
(1)
importance sampling
(1)
data augmentation
(1)
Papers
Accelerated Diffusion Models via Speculative Sampling
ICML 2025
Deep MMD Gradient Flow without adversarial training
ICLR 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
Kalman Filter for Online Classification of Non-Stationary Data
ICLR 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NeurIPS 2024
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
Behavior Priors for Efficient Reinforcement Learning
JMLR 2022
Data augmentation for efficient learning from parametric experts
NeurIPS 2022
Information theoretic meta learning with Gaussian processes
UAI 2021
Learning Dexterous Manipulation from Suboptimal Experts
CoRL 2020
Information asymmetry in KL-regularized RL
ICLR 2019
Neural Probabilistic Motor Primitives for Humanoid Control
ICLR 2019