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Lerchner, Alexander

  1. MONet: Unsupervised Scene Decomposition and Representation
    2019/01/22 by Christopher P. Burgess, Christopher Burgess, Loic Matthey +14 · 1 voice · 44 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #cs.CV #cs.LG #stat.ML
  2. Towards a Definition of Disentangled Representations
    2018/12/05 by Irina Higgins, Higgins, Irina, David Amos +11 · 92 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection
  3. Understanding disentangling in β-VAE
    2018/04/10 by Christopher Burgess, Burgess, Christopher P., Irina Higgins +11 · 62 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  4. DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
    2017/07/26 by Irina Higgins, Arka Pal, Higgins, Irina +15 · 29 citations
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  5. Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
    2019/01/21 by Nicholas Watters, Löıc Matthey, Watters, Nicholas +5 · 25 citations
    Computer Science · #Chaos-based Image/Signal Encryption #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
  6. SCAN: Learning Hierarchical Compositional Visual Concepts
    2017/07/11 by Irina Higgins, Nicolas Sonnerat, Higgins, Irina +20 · 1 voice · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Image and Video Retrieval Techniques #Evolutionary Algorithms and Applications #Genomics and Phylogenetic Studies #cs.LG #stat.ML
  7. Early Visual Concept Learning with Unsupervised Deep Learning
    2016/06/17 by Irina Higgins, Löıc Matthey, Higgins, Irina +13 · 17 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
  8. Scaling Instructable Agents Across Many Simulated Worlds
    2024/03/13 by SIMA team, Maria Abi Raad, SIMA Team +184 · 18 citations
    Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
  9. COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
    2019/05/22 by Nicholas Watters, Löıc Matthey, Watters, Nicholas +7 · 14 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms
  10. SODA: Bottleneck Diffusion Models for Representation Learning
    2023/11/29 by Drew A. Hudson, Daniel Zoran, Hudson, Drew A. +15 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  11. SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
    2021/06/07 by Rishabh Kabra, Daniel Zoran, Kabra, Rishabh +13 · 5 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  12. Unsupervised Model Selection for Variational Disentangled Representation Learning
    2019/05/29 by Sunny Duan, Duan, Sunny, Löıc Matthey +11 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
  13. Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
    2018/08/20 by Alessandro Achille, Achille, Alessandro, Tom Eccles +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Response variability in balanced cortical networks
    2004/02/10 by Alexander Lerchner, Lerchner, Alexander, Cristina Ursta +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Neurons and Cognition (q-bio.NC) #q-bio.NC
  15. Leveraging VLM-Based Pipelines to Annotate 3D Objects
    2023/11/29 by Rishabh Kabra, Kabra, Rishabh, Löıc Matthey +5 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  16. Can foundation models actively gather information in interactive environments to test hypotheses?
    2024/12/09 by Danny P. Sawyer, Sawyer, Danny P., Nan Rosemary Ke +25 · 3 voices · 2 citations
    Decision Sciences · Computer Science · #Scientific Computing and Data Management #Semantic Web and Ontologies #Data Visualization and Analytics
  17. SIMA 2: A Generalist Embodied Agent for Virtual Worlds
    2025/12/04 by Adrian Bolton, SIMA team, Alexander Lerchner +135 · 3 voices · 2 citations
    Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO
  18. Reasoning-Modulated Representations
    2021/07/19 by Petar Veličković, Matko Bošnjak, Veličković, Petar +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling