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Alexander Lerchner

  1. From AGI to ASI
    2026/06/10 by Tim Genewein, Matija Franklin, Alexander Lerchner +11 · 13 voices
    #cs.AI #cs.CY #cs.LG
  2. MONet: Unsupervised Scene Decomposition and Representation
    2019/01/22 by Christopher P. Burgess, Loic Matthey, Burgess, Christopher P. +11 · 1 voice · 18 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
  3. Towards a Definition of Disentangled Representations
    2018/12/05 by Irina Higgins, David Amos, Higgins, Irina +11 · 54 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection
  4. Understanding disentangling in β-VAE
    2018/04/10 by Christopher Burgess, Irina Higgins, Burgess, Christopher P. +11 · 28 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
  5. Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
    2019/01/21 by Nicholas Watters, Watters, Nicholas, Löıc Matthey +5 · 6 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. Scaling Instructable Agents Across Many Simulated Worlds
    2024/03/13 by SIMA team, Maria Abi Raad, SIMA Team +184 · 12 citations
    Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
  7. SODA: Bottleneck Diffusion Models for Representation Learning
    2023/11/29 by Drew A. Hudson, Daniel Zoran, Hudson, Drew A. +15 · 10 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
  8. Early Visual Concept Learning with Unsupervised Deep Learning
    2016/06/17 by Irina Higgins, Higgins, Irina, Löıc Matthey +13 · 5 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)
  9. COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
    2019/05/22 by Nicholas Watters, Watters, Nicholas, Löıc Matthey +7 · 5 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. Unsupervised Model Selection for Variational Disentangled Representation Learning
    2019/05/29 by Sunny Duan, Duan, Sunny, Löıc Matthey +11 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
  11. Can foundation models actively gather information in interactive environments to test hypotheses?
    2024/12/09 by Danny P. Sawyer, Nan Rosemary Ke, Sawyer, Danny P. +25 · 3 voices · 2 citations
    Decision Sciences · Computer Science · #Scientific Computing and Data Management #Semantic Web and Ontologies #Data Visualization and Analytics
  12. SCAN: Learning Hierarchical Compositional Visual Concepts
    2017/07/11 by Irina Higgins, Nicolas Sonnerat, Higgins, Irina +17 · 1 voice
    #stat.ML #cs.LG
  13. SIMA 2: A Generalist Embodied Agent for Virtual Worlds
    2025/12/04 by SIMA team, Adrian Bolton, Bolton, Adrian +135 · 3 voices · 1 citation
    Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO