Gideon Dresdner

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

Trans. Mach. Learn. Res.

Publications

Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt
Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion. CoRR (2023)
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. Trans. Mach. Learn. Res. 2023 (2023)
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
ACE: A fast, skillful learned global atmospheric model for climate prediction. CoRR (2023)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR (2022)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS (2022)
Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. CoRR (2022)
Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch
Sparse Gaussian Processes on Discrete Domains. IEEE Access 9 (2021)
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
Boosting Variational Inference With Locally Adaptive Step-Sizes. IJCAI (2021)
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
Boosting Variational Inference With Locally Adaptive Step-Sizes. CoRR (2021)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. ICML (2021)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. CoRR (2021)
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. CoRR (2020)
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. ICML (2020)
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
Boosting Black Box Variational Inference. NeurIPS (2018)
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
Boosting Black Box Variational Inference. CoRR (2018)
Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch
Scalable Gaussian Processes on Discrete Domains. CoRR (2018)
Bülent Arman Aksoy, Jianjiong Gao, Gideon Dresdner, Weiqing Wang, Alex Root, Xiaohong Jing, Ethan G. Cerami, Chris Sander
PiHelper: an open source framework for drug-target and antibody-target data. Bioinform. 29 (16) (2013)