Keno Fischer

According to our database, Keno Fischer authored at least 8 papers between 2018 and 2020.

Collaborative distances:

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

2020

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.

Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019

Cataloging the visible universe through Bayesian inference in Julia at petascale.

Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

J. Parallel Distributed Comput., 2019

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs.

Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis

CoRR, 2019

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing.

Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt

CoRR, 2019

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.

Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

2018

Fashionable Modelling with Flux.

Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah

CoRR, 2018

Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs.

Keno Fischer, Elliot Saba

CoRR, 2018

Cataloging the Visible Universe Through Bayesian Inference at Petascale.

Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018