Andrew Kyle Lampinen

19 papers A* 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context Structure Reshapes the Representational Geometry of Language Models. CoRR Eghbal A. Hosseini, Yuxuan Li, Yasaman Bahri, Declan Campbell, Andrew Kyle Lampinen
2026	J	`jnl`	Linear representations in language models can change dramatically over a conversation. CoRR Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini, Sangnie Bhardwaj, Murray Shanahan
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	J	`jnl`	Just-in-time and distributed task representations in language models. CoRR Yuxuan Li, Declan Campbell, Stephanie C. Y. Chan, Andrew Kyle Lampinen
2025	J	`jnl`	Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences. CoRR Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry, James L. McClelland
2025	J	`jnl`	Representation biases: will we achieve complete understanding by analyzing representations? CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Yuxuan Li, Katherine L. Hermann
2024	J	`jnl`	Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim
2024	A*	`conf`	Interpretability Illusions in the Generalization of Simplified Models. ICML Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
2024	J	`jnl`	Learned feature representations are biased by complexity, learning order, position, and more. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
2024	J	`jnl`	Learned feature representations are biased by complexity, learning order, position, and more. Trans. Mach. Learn. Res. Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine L. Hermann
2024	J	`jnl`	The broader spectrum of in-context learning. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Aaditya K. Singh, Murray Shanahan
2024	J	`jnl`	Understanding Visual Feature Reliance through the Lens of Complexity. CoRR Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
2023	J	`jnl`	Combining Behaviors with the Successor Features Keyboard. CoRR Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
2023	J	`jnl`	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
2023	J	`jnl`	Passive learning of active causal strategies in agents and language models. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
2022	J	`jnl`	Can language models handle recursively nested grammatical structures? A case study on comparing models and humans. CoRR Andrew Kyle Lampinen
2022	—	`conf`	Zipfian Environments for Reinforcement Learning. CoLLAs Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill
2021	J	`jnl`	Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
2017	J	`jnl`	Improving image generative models with human interactions. CoRR Andrew Kyle Lampinen, David So, Douglas Eck, Fred Bertsch