Gideon Dresdner

According to our database, Gideon Dresdner authored at least 12 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to correct spectral methods for simulating turbulent flows.

Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer

Trans. Mach. Learn. Res., 2023

Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion.

Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt

CoRR, 2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

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

CoRR, 2023

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Sparse Gaussian Processes on Discrete Domains.

Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch

IEEE Access, 2021

Boosting Variational Inference With Locally Adaptive Step-Sizes.

Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neighborhood Contrastive Learning Applied to Online Patient Monitoring.

Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.

Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa

CoRR, 2020

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.

Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Scalable Gaussian Processes on Discrete Domains.

Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch

CoRR, 2018

Boosting Black Box Variational Inference.

Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2013

PiHelper: an open source framework for drug-target and antibody-target data.

Bülent Arman Aksoy, Jianjiong Gao, Gideon Dresdner, Weiqing Wang, Alex Root, Xiaohong Jing, Ethan G. Cerami, Chris Sander

Bioinform., 2013