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Andrew K. Lampinen

  1. Data Distributional Properties Drive Emergent In-Context Learning in Transformers
    2022/04/22 by Stephanie C. Y. Chan, Chan, Stephanie C. Y., Adam Santoro +13 · 4 voices · 38 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  2. Getting aligned on representational alignment
    2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 34 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
  3. An analytic theory of generalization dynamics and transfer learning in deep linear networks
    2018/09/27 by Andrew K. Lampinen, Lampinen, Andrew K., Surya Ganguli +1 · 11 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Neural Networks and Applications
  4. The broader spectrum of in-context learning
    2024/12/05 by Andrew Kyle Lampinen, Andrew K. Lampinen, Stephanie C. Y. Chan +7 · 1 voice · 15 citations
    Psychology · #Educational Games and Gamification #Innovative Teaching and Learning Methods #cs.CL #cs.LG
  5. Symbol tuning improves in-context learning in language models
    2023/05/15 by Jerry Wei, Wei, Jerry, Le Hou +19 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  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. On the generalization of language models from in-context learning and finetuning: a controlled study
    2025/05/01 by Andrew K. Lampinen, Lampinen, Andrew K., Arslan Chaudhry +18 · 4 voices · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  9. Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
    2025/02/27 by Wilka Carvalho, Carvalho, Wilka, Andrew K. Lampinen +2 · 5 voices · 6 citations
    Psychology · Neuroscience · #Child and Animal Learning Development #Embodied and Extended Cognition #Face Recognition and Perception
  10. Can language models handle recursively nested grammatical structures? A case study on comparing models and humans
    2022/10/27 by Andrew K. Lampinen, Lampinen, Andrew Kyle · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  11. Environmental drivers of systematicity and generalization in a situated agent
    2019/10/01 by Felix Hill, Andrew K. Lampinen, Hill, Felix +11 · 6 citations
    Social Sciences · Computer Science · #Language and cultural evolution #Evolutionary Algorithms and Applications #Multi-Agent Systems and Negotiation
  12. Learned feature representations are biased by complexity, learning order, position, and more
    2024/05/09 by Andrew K. Lampinen, Lampinen, Andrew Kyle, Stephanie C. Y. Chan +3 · 1 voice · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  13. Transformers generalize differently from information stored in context vs in weights
    2022/10/11 by Stephanie C. Y. Chan, Ishita Dasgupta, Chan, Stephanie C. Y. +9 · 3 citations
    Computer Science · Social Sciences · #Neural Networks and Applications #Language and cultural evolution
  14. Improving neural network representations using human similarity judgments
    2023/06/07 by Lukas Muttenthaler, Muttenthaler, Lukas, Lorenz Linhardt +11 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  15. Semantic Exploration from Language Abstractions and Pretrained Representations
    2022/04/08 by Allison C. Tam, Neil C. Rabinowitz, Tam, Allison C. +15 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  16. Interpretability Illusions in the Generalization of Simplified Models
    2023/12/06 by Dan Friedman, Andrew K. Lampinen, Friedman, Dan +8 · 1 voice · 2 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science #Software Engineering Research #cs.CL #cs.LG
  17. The in-context inductive biases of vision-language models differ across modalities
    2025/02/03 by Kelsey Allen, Kelsey R. Allen, Allen, Kelsey +6 · 1 voice · 2 citations
    Psychology · #Categorization, perception, and language #Language, Metaphor, and Cognition #cs.CL #cs.CV #cs.LG
  18. Decoupling the components of geometric understanding in Vision Language Models
    2025/03/05 by Eliza Kosoy, Kosoy, Eliza, Annya Dahmani +11 · 2 citations
    Computer Science · Engineering · Psychology · #Categorization, perception, and language #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Spatial Cognition and Navigation
  19. SIMA 2: A Generalist Embodied Agent for Virtual Worlds
    2025/12/04 by Adrian Bolton, SIMA team, Alexander Lerchner +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