Saxe, Andrew

11 publications

NeurIPS 2024 Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

NeurIPS 2024 Nonlinear Dynamics of Localization in Neural Receptive Fields Leon Lufkin, Andrew Saxe, Erin Grant

NeurIPS 2023 The Transient Nature of Emergent In-Context Learning in Transformers Aaditya Singh, Stephanie Chan, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill

NeurIPS 2022 An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti, Stefano Mannelli, Andrew Saxe

NeurIPS 2022 Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew Saxe

ICML 2022 Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew Saxe

ICML 2022 The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew Saxe, Shagun Sodhani, Sam Jay Lewallen

ICML 2021 Continual Learning in the Teacher-Student Setup: Impact of Task Similarity Sebastian Lee, Sebastian Goldt, Andrew Saxe

NeurIPS 2020 Characterizing Emergent Representations in a Space of Candidate Learning Rules for Deep Networks Yinan Cao, Christopher Summerfield, Andrew Saxe

NeurIPS 2011 Unsupervised Learning Models of Primary Cortical Receptive Fields and Receptive Field Plasticity Maneesh Bhand, Ritvik Mudur, Bipin Suresh, Andrew Saxe, Andrew Y. Ng

NeurIPS 2009 Measuring Invariances in Deep Networks Ian Goodfellow, Honglak Lee, Quoc V. Le, Andrew Saxe, Andrew Y. Ng