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• From Variational to Deterministic Autoencoders
  2019 · 107 citations
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023 · 101 citations
• Disentangling Factors of Variation Using Few Labels
  2019 · 51 citations
• On Disentangled Representations Learned From Correlated Data
  2020 · 38 citations
• Deconfounding Reinforcement Learning in Observational Settings
  2018 · 35 citations
• TriFinger: An Open-Source Robot for Learning Dexterity
  2020 · 24 citations
• Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
  2020 · 16 citations
• Flow Annealed Importance Sampling Bootstrap
  2022 · 14 citations
• Learning to Play Table Tennis From Scratch using Muscular Robots
  2020 · 11 citations
• Learning to Play Table Tennis From Scratch using Muscular Robots
  2020 · 11 citations
• Annealed Generative Adversarial Networks
  2017 · 9 citations
• Exploring the Latent Space of Autoencoders with Interventional Assays
  2021 · 9 citations
• Diffusion-Based Representation Learning
  2021 · 6 citations
• The Inductive Bias of Quantum Kernels
  2021 · 6 citations
• In-silico biological discovery with large perturbation models
  2025 · 5 citations