Lindsey, Jack

8 publications

TMLR 2025 Open Problems in Mechanistic Interpretability Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Mary Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Thomas McGrath

NeurIPS 2024 Inductive Biases of Multi-Task Learning and Finetuning: Multiple Regimes of Feature Reuse Samuel Lippl, Jack Lindsey

ICLR 2024 Task Structure and Nonlinearity Jointly Determine Learned Representational Geometry Matteo Alleman, Jack Lindsey, Stefano Fusi

NeurIPS 2022 Action-Modulated Midbrain Dopamine Activity Arises from Distributed Control Policies Jack Lindsey, Ashok Litwin-Kumar

NeurIPS 2020 Learning to Learn with Feedback and Local Plasticity Jack Lindsey, Ashok Litwin-Kumar

ICLR 2019 A Unified Theory of Early Visual Representations from Retina to Cortex Through Anatomically Constrained Deep CNNs Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stephane Deny

NeurIPSW 2019 Learning to Learn with Feedback and Local Plasticity Jack Lindsey

NeurIPS 2018 The Emergence of Multiple Retinal Cell Types Through Efficient Coding of Natural Movies Samuel Ocko, Jack Lindsey, Surya Ganguli, Stephane Deny