Alexandre Galashov

1. Accelerated Diffusion Models via Speculative Sampling
   2025/01/09 by Valentin De Bortoli, De Bortoli, Valentin, Alexandre Galashov +5 · 4 voices · 10 citations
   Mathematics · #Statistical Methods and Inference #cs.LG #stat.ML
2. Meta reinforcement learning as task inference
   2019/05/15 by Jan Humplik, Humplik, Jan, Alexandre Galashov +9 · 18 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
3. Behavior Priors for Efficient Reinforcement Learning
   2020/10/27 by Dhruva Tirumala, Alexandre Galashov, Tirumala, Dhruva +19 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
4. Distributional Diffusion Models with Scoring Rules
   2025/02/04 by Valentin De Bortoli, De Bortoli, Valentin, Alexandre Galashov +12 · 3 voices · 6 citations
   Social Sciences · #Insurance, Mortality, Demography, Risk Management #cs.LG #stat.ML
5. Information asymmetry in KL-regularized RL
   2019/05/03 by Alexandre Galashov, Galashov, Alexandre, Siddhant M. Jayakumar +17 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Reinforcement Learning in Robotics
6. Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
   2019/03/18 by Dhruva Tirumala, Tirumala, Dhruva, Hyeonwoo Noh +15 · 4 citations
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
7. Temporal Difference Uncertainties as a Signal for Exploration
   2020/10/05 by Sebastian Flennerhag, Jane X. Wang, Flennerhag, Sebastian +17 · 2 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
8. Deep MMD Gradient Flow without adversarial training
   2024/05/10 by Alexandre Galashov, Valentin De Bortoli, Galashov, Alexandre +3 · 2 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Plasma and Flow Control in Aerodynamics
9. Meta-Learning surrogate models for sequential decision making
   2019/03/28 by Alexandre Galashov, Galashov, Alexandre, Jonathan Schwarz +13 · 1 citation
   Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Advanced Bandit Algorithms Research #Machine Learning and Data Classification