Zacharias V. Fisches

According to our database, Zacharias V. Fisches authored at least 6 papers between 2018 and 2025.

Collaborative distances:

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

2025

Agentic Operator Generation for ML ASICs.

Alec M. Hammond, Aram Markosyan, Aman Dontula, Simon Mahns, Zacharias V. Fisches, Dmitrii Pedchenko, Keyur Muzumdar, Natacha Supper, Mark Saroufim, Joe Isaacson, Laura Wang, Warren Hunt, Kaustubh Gondkar, Roman Levenstein, Gabriel Synnaeve, Richard Li, Jacob Kahn, Ajit Mathews

CoRR, December, 2025

CWM: An Open-Weights LLM for Research on Code Generation with World Models.

FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve

CoRR, October, 2025

2021

ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations.

Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather

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

2020

Deep Data Flow Analysis.

Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle

CoRR, 2020

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis.

Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather

CoRR, 2020

2018

Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction.

Sebastian Bosse, Sören Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018