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Andrew Kyle Lampinen · SciRah

Researcher profile · Semantic Scholar

Andrew Kyle Lampinen

DeepMind
Stanford

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Andrew Kyle Lampinen — researcher profile on SciRah

h-index: 30
Works: 71
Citations: 6,210

Most-cited papers

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2022arXiv.org2,702 citations
Semantic Scholar
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie C. Y. Chan, A. Santoro, Andrew Kyle Lampinen, Jane X. Wang +4 more
2022Neural Information Processing Systems414 citations Open access
Semantic Scholar
Can language models learn from explanations in context?
Andrew Kyle Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, K. Mathewson +5 more
2022Conference on Empirical Methods in Natural Language Processing390 citations Open access
Semantic Scholar
Language models show human-like content effects on reasoning
Ishita Dasgupta, Andrew Kyle Lampinen, Stephanie C. Y. Chan, A. Creswell +3 more
2022arXiv.org239 citations Open access
Semantic Scholar
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng +29 more
2023Trans. Mach. Learn. Res.217 citations
Semantic Scholar
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann, Andrew Kyle Lampinen
2020Neural Information Processing Systems187 citations
Semantic Scholar
An analytic theory of generalization dynamics and transfer learning in deep linear networks
Andrew Kyle Lampinen, S. Ganguli
2018International Conference on Learning Representations157 citations
Semantic Scholar
Language models, like humans, show content effects on reasoning tasks
Andrew Kyle Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Hannah R. Sheahan +4 more
2024PNAS Nexus145 citations Open access
Semantic Scholar
Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective
James L. McClelland, B. McNaughton, Andrew Kyle Lampinen
2020bioRxiv120 citations Open access
Semantic Scholar
Symbol tuning improves in-context learning in language models
Jerry W. Wei, Le Hou, Andrew Kyle Lampinen, Xiangning Chen +7 more
2023Conference on Empirical Methods in Natural Language Processing114 citations Open access
Semantic Scholar
Environmental drivers of systematicity and generalization in a situated agent
F. Hill, Andrew Kyle Lampinen, R. Schneider, S. Clark +3 more
2019International Conference on Learning Representations111 citations
Semantic Scholar
SODA: Bottleneck Diffusion Models for Representation Learning
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew Kyle Lampinen +5 more
2023Computer Vision and Pattern Recognition102 citations Open access
Semantic Scholar
Scaling Instructable Agents Across Many Simulated Worlds
S1-NexusAgent Team, M. Raad, Arun Ahuja, Catarina Barros +90 more
2024arXiv.org90 citations
Semantic Scholar
Semantic Exploration from Language Abstractions and Pretrained Representations
Andrea Banino, Stephanie C. Y. Chan, F. Hill, Andrew Kyle Lampinen +5 more
2022Neural Information Processing Systems85 citations Open access
Semantic Scholar
Evaluating Spatial Understanding of Large Language Models
Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai +1 more
2023Trans. Mach. Learn. Res.79 citations
Semantic Scholar
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, D. Kumaran +2 more
2022arXiv.org76 citations Open access
Semantic Scholar
Aligning machine and human visual representations across abstraction levels
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer +5 more
2025Nature70 citations Open access
Semantic Scholar
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, F. Hill
2021Neural Information Processing Systems66 citations
Semantic Scholar
Improving neural network representations using human similarity judgments
Lukas Muttenthaler, L. Linhardt, Jonas Dippel, Robert A. Vandermeulen +3 more
2023Neural Information Processing Systems62 citations Open access
Semantic Scholar
Automated curricula through setter-solver interactions
S. Racanière, Andrew Kyle Lampinen, A. Santoro, David P. Reichert +2 more
2019arXiv.org60 citations
Semantic Scholar
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen, Arslan Chaudhry, Stephanie C Y Chan, Cody Wild +6 more
2025arXiv.org59 citations
Semantic Scholar
Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans
Andrew Kyle Lampinen
2022Computational Linguistics58 citations Open access
Semantic Scholar
Tell me why! Explanations support learning relational and causal structure
Andrew Kyle Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan +7 more
2021International Conference on Machine Learning54 citations
Semantic Scholar
The broader spectrum of in-context learning
Andrew Kyle Lampinen, Stephanie C Y Chan, Aaditya K. Singh, Murray Shanahan
2024arXiv.org47 citations
Semantic Scholar
Automated curriculum generation through setter-solver interactions
Andrew Kyle Lampinen, S. Racanière, A. Santoro, David P. Reichert +2 more
2020International Conference on Learning Representations42 citations
Semantic Scholar
Symbolic Behaviour in Artificial Intelligence
A. Santoro, Andrew Kyle Lampinen, K. Mathewson, T. Lillicrap +1 more
2021arXiv.org40 citations
Semantic Scholar
Emergent Systematic Generalization in a Situated Agent
F. Hill, Andrew Kyle Lampinen, R. Schneider, S. Clark +3 more
2019International Conference on Learning Representations39 citations
Semantic Scholar
Improving the Replicability of Psychological Science Through Pedagogy
Robert D. Hawkins, E. Smith, Carolyn Au, Juan Miguel Arias +10 more
201839 citations Open access
Semantic Scholar
Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers
Stephanie C. Y. Chan, Adam Santoro, Andrew Kyle Lampinen, Jane X. Wang +5 more
33 citations
Semantic Scholar
Learned feature representations are biased by complexity, learning order, position, and more
Andrew Kyle Lampinen, Stephanie C Y Chan, Katherine L. Hermann
2024Trans. Mach. Learn. Res.31 citations
Semantic Scholar
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, A. Nam +1 more
2023Neural Information Processing Systems30 citations Open access
Semantic Scholar
The emergence of sparse attention: impact of data distribution and benefits of repetition
Nicolas Zucchet, Francesco D'Angelo, Andrew Kyle Lampinen, S. C. Chan
2025Neural Information Processing Systems28 citations
Semantic Scholar
One-shot and few-shot learning of word embeddings
Andrew Kyle Lampinen, James L. McClelland
2017arXiv.org24 citations
Semantic Scholar
Machine Psychology
Thilo Hagendorff, Ishita Dasgupta, Marcel Binz, S. Chan +4 more
202323 citations
Semantic Scholar
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry +1 more
2025Trans. Mach. Learn. Res.20 citations
Semantic Scholar
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre +1 more
2024Neural Information Processing Systems20 citations
Semantic Scholar
Transforming task representations to perform novel tasks
Andrew Kyle Lampinen, James L. McClelland
2020Proceedings of the National Academy of Sciences of the United States of America18 citations Open access
Semantic Scholar
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre H. Richemond, F. Hill
2022CoLLAs17 citations Open access
Semantic Scholar
Combining Behaviors with the Successor Features Keyboard
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen +6 more
2023Neural Information Processing Systems14 citations
Semantic Scholar
Representation biases: will we achieve complete understanding by analyzing representations?
Andrew Kyle Lampinen, Stephanie C Y Chan, Yuxuan Li, Katherine L. Hermann
2025arXiv.org13 citations
Semantic Scholar
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
Jing Huang, Daniel Wurgaft, Rachit Bansal, L. Ruis +5 more
2026arXiv.org10 citations
Semantic Scholar
Just-in-time and distributed task representations in language models
Yuxuan Li, Declan Campbell, Stephanie C Y Chan, Andrew Kyle Lampinen
2025arXiv.org9 citations
Semantic Scholar
Context Structure Reshapes the Representational Geometry of Language Models
Eghbal A. Hosseini, Yuxuan Li, Yasaman Bahri, Declan Campbell +1 more
2026arXiv.org8 citations
Semantic Scholar
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, F. Hill +1 more
2023Trans. Mach. Learn. Res.8 citations
Semantic Scholar
Different Presentations of a Mathematical Concept Can Support Learning in Complementary Ways
Andrew Kyle Lampinen, James L. McClelland
2018Journal of Educational Psychology8 citations Open access
Semantic Scholar
Linear representations in language models can change dramatically over a conversation
Andrew Kyle Lampinen, Yuxuan Li, Eghbal A. Hosseini, Sangnie Bhardwaj +1 more
2026arXiv.org7 citations
Semantic Scholar
Cultural variation in the smiles we trust: The effects of reputation and ideal affect on resource sharing.
Julie Cachia, E. Blevins, Ying-Chun Chen, Michael Ko +9 more
2024Emotion6 citations Open access
Semantic Scholar
Tell me why! - Explanations support learning of relational and causal structure
Andrew Kyle Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan +7 more
2021arXiv.org6 citations
Semantic Scholar
Decoupling the components of geometric understanding in Vision Language Models
Eliza Kosoy, Annya L. Dahmani, Andrew Kyle Lampinen, I. Comsa +3 more
2025arXiv.org5 citations
Semantic Scholar
Distinct Computations Emerge From Compositional Curricula in In-Context Learning
Jin Hwa Lee, Andrew Kyle Lampinen, Aaditya K. Singh, Andrew M. Saxe
2025arXiv.org5 citations
Semantic Scholar

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