Alexandre Galashov
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(13)
👥
Mega-Team
(20)
💎
Century Club
(12)
🔥
Unstoppable
(7)
Conferences
ICLR (4)
ICML (2)
JMLR (2)
NIPS (2)
CORL (1)
UAI (1)
Top co-authors
Keywords
reinforcement learning
(2)
transfer learning
(2)
continual learning
(2)
probabilistic modeling
(1)
imitation learning
(1)
variational inference
(1)
information bottleneck
(1)
data augmentation
(1)
hierarchical reinforcement learning
(1)
gaussian process
(1)
importance sampling
(1)
mutual information
(1)
policy iteration
(1)
visual classification
(1)
off-policy learning
(1)
sequential learning
(1)
off-policy reinforcement learning
(1)
distributional shift
(1)
non-stationary learning
(1)
parameter reset
(1)
Papers
Deep MMD Gradient Flow without adversarial training
ICLR 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
Accelerated Diffusion Models via Speculative Sampling
ICML 2025
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NIPS 2024
Kalman Filter for Online Classification of Non-Stationary Data
ICLR 2024
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
Data augmentation for efficient learning from parametric experts
NIPS 2022
Behavior Priors for Efficient Reinforcement Learning
JMLR 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