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ORCIDMichael McCabe
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2020 – today
- 2025
[c8]Teja Singh, Spence Oliver, Sundar Rangarajan, Shane Southard, Carson Henrion, Alex Schaefer, Brett Johnson, Sarah Bartaszewicz Tower, Kathy Hoover, Deepesh John, Ted Antoniadis, Shravan Lakshman, Vibhor Mittal, Brian Kasprzyk, Ross McCoy, Kurt Mohlman, Anitha Mohan, Hon-Hin Wong, Daryl Lieu, Russell Schreiber, Sahilpreet Singh, Nick Lance, Darryl Prudich, Justin Coppin, Tim Jackson, Anita Karegar, Ryan Miller, Sabeesh Balagangadharan, James Pistole, Wilson Li, Michael McCabe:
"Zen 5": The AMD High-Performance 4nm x86-64 Microprocessor Core. ISSCC 2025: 1-3- [i14]François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, François Lanusse, Shirley Ho:
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation. CoRR abs/2507.02608 (2025) - [i13]Payel Mukhopadhyay, Michael McCabe, Ruben Ohana, Miles D. Cranmer:
Controllable Patching for Compute-Adaptive Surrogate Modeling of Partial Differential Equations. CoRR abs/2507.09264 (2025) - [i12]Jeff Shen
, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho:
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning. CoRR abs/2510.17959 (2025) - [i11]Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho:
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics. CoRR abs/2511.15684 (2025) - [i10]Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles D. Cranmer, Siavash Golkar, Olexandr Gugnin, Géraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K. D. Leka, François Lanusse, David Fouhey, Shirley Ho:
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme. CoRR abs/2511.19390 (2025) - [i9]Rio Alexa Fear, Payel Mukhopadhyay, Michael McCabe, Alberto Bietti, Miles D. Cranmer:
Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model. CoRR abs/2511.20798 (2025) - 2024
- [c7]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 - [c6]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 Spatiotemporal Surrogate Models. NeurIPS 2024 - [c5]Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho:
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. NeurIPS 2024 - [i8]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) - [i7]Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho:
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. CoRR abs/2412.00568 (2024) - 2023
- [j1]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. 2023 (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) - 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 - [i2]Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. CoRR abs/2111.01058 (2021)
2010 – 2019
- 2018
- [c2]Sean M. Z. Anderson, Michael McCabe:
Participatory school design for participatory democracy. PDC (2) 2018: 43:1-43:3 - [i1]Michael McCabe:
Mapper Comparison with Wasserstein Metrics. CoRR abs/1812.06232 (2018)
2000 – 2009
- 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
Coauthor Index
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