Gideon Dresdner

18 papers A* 5A 1Journal 12
YearRankTypeTitle / Venue / Authors
2024 A* conf
Precipitation Downscaling with Spatiotemporal Video Diffusion.
NeurIPS
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt
2023 J jnl
ACE: A fast, skillful learned global atmospheric model for climate prediction.
CoRR
Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton
2023 J jnl
Learning to correct spectral methods for simulating turbulent flows.
Trans. Mach. Learn. Res.
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2023 J jnl
Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion.
CoRR
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt
2022 A conf
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.
AISTATS
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022 J jnl
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.
CoRR
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022 J jnl
Learning to correct spectral methods for simulating turbulent flows.
CoRR
Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2021 A* conf
Boosting Variational Inference With Locally Adaptive Step-Sizes.
IJCAI
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
2021 J jnl
Boosting Variational Inference With Locally Adaptive Step-Sizes.
CoRR
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
2021 A* conf
Neighborhood Contrastive Learning Applied to Online Patient Monitoring.
ICML
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2021 J jnl
Neighborhood Contrastive Learning Applied to Online Patient Monitoring.
CoRR
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2021 J jnl
Sparse Gaussian Processes on Discrete Domains.
IEEE Access
Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch
2020 A* conf
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.
ICML
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa
2020 J jnl
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.
CoRR
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa
2018 A* conf
Boosting Black Box Variational Inference.
NeurIPS
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
2018 J jnl
Boosting Black Box Variational Inference.
CoRR
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
2018 J jnl
Scalable Gaussian Processes on Discrete Domains.
CoRR
Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch
2013 J jnl
PiHelper: an open source framework for drug-target and antibody-target data.
Bioinform.
Bülent Arman Aksoy, Jianjiong Gao, Gideon Dresdner, Weiqing Wang, Alex Root, Xiaohong Jing, Ethan G. Cerami, Chris Sander