Aaron Fisher

According to our database, Aaron Fisher authored at least 8 papers between 2007 and 2024.

Collaborative distances:

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

2024

Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects.

Aaron Fisher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery.

Congyu Wu, Aaron Fisher, David M. Schnyer

CoRR, 2022

2021

Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information.

Aaron Fisher

CoRR, 2021

MFEM: A modular finite element methods library.

Robert W. Anderson, Julian Andrej, Andrew T. Barker, Jamie A. Bramwell, Jean-Sylvain Camier, Jakub Cervený, Veselin Dobrev, Yohann Dudouit, Aaron Fisher, Tzanio V. Kolev, Will Pazner, Mark Stowell, Vladimir Z. Tomov, Ido Akkerman, Johann Dahm, David S. Medina, Stefano Zampini

Comput. Math. Appl., 2021

2019

All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.

Aaron Fisher, Cynthia Rudin, Francesca Dominici

J. Mach. Learn. Res., 2019

MFEM: a modular finite element methods library.

Robert W. Anderson, Julian Andrej, Andrew T. Barker, Jamie A. Bramwell, Jean-Sylvain Camier, Jakub Cervený, Veselin Dobrev, Yohann Dudouit, Aaron Fisher, Tzanio V. Kolev, Will Pazner, Mark Stowell, Vladimir Z. Tomov, Johann Dahm, David S. Medina, Stefano Zampini

CoRR, 2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

2007

An efficient vector finite element method for nonlinear electromagnetic modeling.

Aaron Fisher, Daniel A. White, Garry H. Rodrigue

J. Comput. Phys., 2007