Pre-training Attention Mechanisms. - Jack Lindsey (CoRR, 2017)

A Neural Network Model of Complementary Learning Systems. - Mika Sarkin Jain; Jack Lindsey (CogSci, 2018)

Semiparametric Reinforcement Learning. - Mika Sarkin Jain; Jack Lindsey (ICLR (Workshop), 2018)

The emergence of multiple retinal cell types through efficient coding of natural movies. - Samuel A. Ocko; Jack Lindsey; Surya Ganguli; Stéphane Deny (NeurIPS, 2018)

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. - Jack Lindsey; Samuel A. Ocko; Surya Ganguli; Stéphane Deny (ICLR, 2019)

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

Sequence Learning and Consolidation on Loihi using On-chip Plasticity. - Jack Lindsey; James B. Aimone (NICE, 2022)

Action-modulated midbrain dopamine activity arises from distributed control policies. - Jack Lindsey; Ashok Litwin-Kumar (NeurIPS, 2022)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)

Persona Vectors: Monitoring and Controlling Character Traits in Language Models. - Runjin Chen; Andy Arditi; Henry Sleight; Owain Evans; Jack Lindsey (CoRR, 2025)