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)

Boosting Black Box Variational Inference. - Francesco Locatello; Gideon Dresdner; Rajiv Khanna; Isabel Valera; Gunnar Rätsch (NeurIPS, 2018)

Scalable Gaussian Processes on Discrete Domains. - Vincent Fortuin; Gideon Dresdner; Heiko Strathmann; Gunnar Rätsch (CoRR, 2018)

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. - Geoffrey Négiar; Gideon Dresdner; Alicia Y. Tsai; Laurent El Ghaoui; Francesco Locatello; Robert Freund; Fabian Pedregosa (ICML, 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)

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

Boosting Variational Inference With Locally Adaptive Step-Sizes. - Gideon Dresdner; Saurav Shekhar; Fabian Pedregosa; Francesco Locatello; Gunnar Rätsch (IJCAI, 2021)

Sparse Gaussian Processes on Discrete Domains. - Vincent Fortuin; Gideon Dresdner; Heiko Strathmann; Gunnar Rätsch (IEEE Access, 2021)

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

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 002; Noah D. Brenowitz; Karthik Kashinath; Michael S. Pritchard; Boris Bonev; Matthew E. Peters; Christopher S. Bretherton (CoRR, 2023)

Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion. - Prakhar Srivastava 003; Ruihan Yang; Gavin Kerrigan; Gideon Dresdner; Jeremy McGibbon; Christopher S. Bretherton; Stephan Mandt (CoRR, 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)

Precipitation Downscaling with Spatiotemporal Video Diffusion. - Prakhar Srivastava 003; Ruihan Yang; Gavin Kerrigan; Gideon Dresdner; Jeremy McGibbon; Christopher S. Bretherton; Stephan Mandt (NeurIPS, 2024)