Andrew Kyle Lampinen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Feature Representations

Reinforcement Learning

Naive Bayes Classification

Top Venues

Trans. Mach. Learn. Res.

Publications

Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim
Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
Understanding Visual Feature Reliance through the Lens of Complexity. CoRR (2024)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
Learned feature representations are biased by complexity, learning order, position, and more. CoRR (2024)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
Passive learning of active causal strategies in agents and language models. CoRR (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. CoRR (2023)
Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Andrew Kyle Lampinen
Can language models handle recursively nested grammatical structures? A case study on comparing models and humans. CoRR (2022)
Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill
Zipfian Environments for Reinforcement Learning. CoLLAs (2022)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR (2021)
Andrew Kyle Lampinen, David So, Douglas Eck, Fred Bertsch
Improving image generative models with human interactions. CoRR (2017)