Lampinen, Andrew

9 publications

NeurIPS 2023 Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos, Andrew Lampinen, Loic Matthey, Richard L Lewis, Honglak Lee, Satinder P. Singh, Danilo Jimenez Rezende, Daniel Zoran

NeurIPS 2023 Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith

NeurIPS 2023 Passive Learning of Active Causal Strategies in Agents and Language Models Andrew Lampinen, Stephanie Chan, Ishita Dasgupta, Andrew Nam, Jane Wang

NeurIPS 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James L. McClelland, Felix Hill

NeurIPS 2022 Semantic Exploration from Language Abstractions and Pretrained Representations Allison Tam, Neil Rabinowitz, Andrew Lampinen, Nicholas A. Roy, Stephanie Chan, Dj Strouse, Jane Wang, Andrea Banino, Felix Hill

NeurIPS 2021 Towards Mental Time Travel: A Hierarchical Memory for Reinforcement Learning Agents Andrew Lampinen, Stephanie Chan, Andrea Banino, Felix Hill

ICLR 2020 Automated Curriculum Generation Through Setter-Solver Interactions Sebastien Racaniere, Andrew Lampinen, Adam Santoro, David Reichert, Vlad Firoiu, Timothy Lillicrap

ICLR 2020 Environmental Drivers of Systematicity and Generalization in a Situated Agent Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro

NeurIPS 2020 What Shapes Feature Representations? Exploring Datasets, Architectures, and Training Katherine Hermann, Andrew Lampinen