Deweese, Michael R.

5 publications

NeurIPS 2025 Alternating Gradient Flows: A Theory of Feature Learning in Two-Layer Neural Networks Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B Simon, Michael R DeWeese, Surya Ganguli, Nina Miolane

NeurIPS 2025 Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models Dhruva Karkada, James B Simon, Yasaman Bahri, Michael R DeWeese

NeurIPS 2025 Quantifying Elicitation of Latent Capabilities in Language Models Elizabeth Donoway, Hailey Joren, Arushi Somani, Henry Sleight, Julian Michael, Michael R DeWeese, John Schulman, Ethan Perez, Fabien Roger, Jan Leike

TMLR 2023 The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks James B Simon, Madeline Dickens, Dhruva Karkada, Michael R DeWeese

NeurIPS 2002 Binary Coding in Auditory Cortex Michael R. Deweese, Anthony M. Zador