Smith, Jamie

6 publications

TMLR 2023 Learning to Correct Spectral Methods for Simulating Turbulent Flows Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Nunez, Jamie Smith, Michael Brenner, Stephan Hoyer

ICCV 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

TMLR 2022 Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim, Peter Y Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic

TMLR 2022 Ensembles of Classifiers: A Bias-Variance Perspective Neha Gupta, Jamie Smith, Ben Adlam, Zelda E Mariet

ICML 2021 Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix, Dmitrii Kochkov, Jamie Smith, Daniel Cremers, Michael Brenner, Stephan Hoyer

ICML 2018 Learning Memory Access Patterns Milad Hashemi, Kevin Swersky, Jamie Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan