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• Disentangling Factors of Variation Using Few Labels
  2019 · 51 citations
• On Disentangled Representations Learned From Correlated Data
  2020 · 38 citations
• Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
  2022 · 16 citations
• Boosting Variational Inference: an Optimization Perspective
  2017 · 7 citations
• ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
  2022 · 7 citations
• The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
  2021 · 3 citations
• Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
  2022 · 2 citations
• Leveraging sparse and shared feature activations for disentangled representation learning
  2023 · 2 citations
• Object-Centric Multiple Object Tracking
  2023 · 1 citations
• Unsupervised Open-Vocabulary Object Localization in Videos
  2023 · 1 citations
• Mechanistic Neural Networks for Scientific Machine Learning
  2024 · 1 citations
• Learning Explicit Single-Cell Dynamics Using ODE Representations
  2025
• Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
  2024
• A Commentary on the Unsupervised Learning of Disentangled Representations
  2020
• Boosting Unsupervised Segmentation Learning
  2024