Matthew L. Weiss
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
3
Active years
2019–2022
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | HPCA | AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. | Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari |
| 2020 | ACSSC | Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter. | Kirty Vedula, Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski, D. Richard Brown |
| 2019 | ACSSC | The Autoencoder-Kalman Filter: Theory and Practice. | Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski |
| 2019 | ICMLA | Deep Learning with Domain Randomization for Optimal Filtering. | Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski |