Dresdner, Gideon

7 publications

NeurIPS 2024 Precipitation Downscaling with Spatiotemporal Video Diffusion Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt

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

AISTATS 2022 Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever

IJCAI 2021 Boosting Variational Inference with Locally Adaptive Step-Sizes Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch

ICML 2021 Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch

ICML 2020 Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization Geoffrey Negiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa

NeurIPS 2018 Boosting Black Box Variational Inference Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Raetsch