Pereira, Francisco

12 publications

ICLR 2025 More Experts than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence Hunter, Matt Jones

NeurIPS 2024 Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects Alexander W. Levis, Gabriel Loewinger, Francisco Pereira

NeurIPS 2022 Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis, Francisco Antunes, Frederik Hüttel, Carlos Lima Azevedo, Francisco Pereira

NeurIPS 2022 VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler, Charles Y Zheng, Patrick McClure, Robert A Vandermeulen, Martin N Hebart, Francisco Pereira

ICLR 2019 Revealing Interpretable Object Representations from Human Behavior Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart

NeurIPS 2018 Distributed Weight Consolidation: A Brain Segmentation Case Study Patrick McClure, Charles Y Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satra Ghosh, Dylan Nielson, Peter A Bandettini, Francisco Pereira

ICML 2014 Gaussian Process Classification and Active Learning with Multiple Annotators Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro

NeurIPS 2012 A Systematic Approach to Extracting Semantic Information from Functional MRI Data Francisco Pereira, Matthew Botvinick

ICML 2008 Closed-Form Supervised Dimensionality Reduction with Generalized Linear Models Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon

ICML 2006 The Support Vector Decomposition Machine Francisco Pereira, Geoffrey J. Gordon

NeurIPS 2004 Detecting Significant Multidimensional Spatial Clusters Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell

MLJ 2004 Learning to Decode Cognitive States from Brain Images Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman