Wu, John F.

5 publications

ICMLW 2024 Predicting Dark Matter Halo Masses from Simulated Galaxy Images and Environments Austin J Larson, John F Wu, Craig Jones

NeurIPSW 2024 Sparse Autoencoders for Dense Text Embeddings Reveal Hierarchical Feature Sub-Structure Christine Ye, Charles O'Neill, John F Wu, Kartheik G. Iyer

NeurIPSW 2024 Steering Semantic Search with Interpretable Features from Sparse Autoencoders Christine Ye, Charles O'Neill, John F Wu, Kartheik G. Iyer

NeurIPS 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam H. Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu

NeurIPSW 2024 Towards Interpretable Scientific Foundation Models: Sparse Autoencoders for Disentangling Dense Embeddings of Scientific Concepts Charles O'Neill, Christine Ye, Kartheik G. Iyer, John F Wu