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Michael McCabe
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Journal Articles
- 2023
- [j1]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c5]Thomas Burd, Srividhya Venkataraman, Wilson Li, Timothy Johnson, Jerry Lee, Srikirti Velaga, Mark Wasio, Thomas Yiu, Franklin Bodine, Michael McCabe, Udin Salim, Santosh Kumar Thouta, Michael Golden, Sowmya Ramachandran, Gokul Subramani Lakshmi Devi, John Wu, Yarek Kuszczak, Gaurav Singla, Carson Henrion, Andy Robison, Sabeesh Balagangadharan, Umesh Nair, Naveen Srivastava, Hari Prasad, Mohini Polimetla, Phaneendra Chennupati, Eshwar Gupta, Mahesh Vykuntam, Sumantra Sarkar, Praveen Kumar Duvvuru, Theja Mardi, G. Swetha:
2.2 "Zen 4c": The AMD 5nm Area-Optimized ×86-64 Microprocessor Core. ISSCC 2024: 38-40 - 2022
- [c4]Thomas Burd, Wilson Li, James Pistole, Srividhya Venkataraman, Michael McCabe, Timothy Johnson, James Vinh, Thomas Yiu, Mark Wasio, Hon-Hin Wong, Daryl Lieu, Jonathan White, Benjamin Munger, Joshua Lindner, Javin Olson, Steven Bakke, Jeshuah Sniderman, Carson Henrion, Russell Schreiber, Eric Busta, Brett Johnson, Tim Jackson, Aron Miller, Ryan Miller, Matthew Pickett, Aaron Horiuchi, Josef Dvorak, Sabeesh Balagangadharan, Sajeesh Ammikkallingal, Pankaj Kumar:
Zen3: The AMD 2nd-Generation 7nm x86-64 Microprocessor Core. ISSCC 2022: 1-3 - 2021
- [c3]Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. NeurIPS 2021: 12237-12250 - 2018
- [c2]Sean M. Z. Anderson, Michael McCabe:
Participatory school design for participatory democracy. PDC (2) 2018: 43:1-43:3 - 2007
- [c1]Jeanna Neefe Matthews, Wenjin Hu, Madhujith Hapuarachchi, Todd Deshane, Demetrios Dimatos, Gary Hamilton, Michael McCabe, James Owens:
Quantifying the performance isolation properties of virtualization systems. Experimental Computer Science 2007: 6
Informal and Other Publications
- 2024
- [i7]Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho:
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR abs/2406.02585 (2024) - 2023
- [i6]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. CoRR abs/2306.10619 (2023) - [i5]Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
xVal: A Continuous Number Encoding for Large Language Models. CoRR abs/2310.02989 (2023) - [i4]Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
Multiple Physics Pretraining for Physical Surrogate Models. CoRR abs/2310.02994 (2023) - [i3]François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR abs/2310.03024 (2023) - 2021
- [i2]Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. CoRR abs/2111.01058 (2021) - 2018
- [i1]Michael McCabe:
Mapper Comparison with Wasserstein Metrics. CoRR abs/1812.06232 (2018)
Coauthor Index
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