Michael McCabe

According to our database, Michael McCabe authored at least 24 papers between 2007 and 2026.

Collaborative distances:

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

2026

MIMIC: A Generative Multimodal Foundation Model for Biomolecules.

Siavash Golkar, Jake Kovalic, Irina Espejo Morales, Samuel Sledzieski, Minhuan Li, Ksenia Sokolova, Géraud Krawezik, Alberto Bietti, Claudia Skok Gibbs, Roman Klypa, Shengwei Xiong, François Lanusse, Liam Holden Parker, Kyunghyun Cho, Miles D. Cranmer, Tom Hehir, Michael McCabe, Lucas Meyer, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Helen Qu, Jeff Shen, David Fouhey, Hadi Sotoudeh, Vikram Khipple Mulligan, Pilar Cossio, Sonya M. Hanson, Alisha N. Jones, Olga G. Troyanskaya, Shirley Ho

CoRR, April, 2026

Representation Learning for Spatiotemporal Physical Systems.

Helen Qu, Rudy Morel, Michael McCabe, Alberto Bietti, François Lanusse, Shirley Ho, Yann LeCun

CoRR, March, 2026

On the Value of Tokeniser Pretraining in Physics Foundation Models.

Hadi Sotoudeh, Payel Mukhopadhyay, Ruben Ohana, Michael McCabe, Neil D. Lawrence, Shirley Ho, Miles D. Cranmer

CoRR, March, 2026

2025

Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model.

Rio Alexa Fear, Payel Mukhopadhyay, Michael McCabe, Alberto Bietti, Miles D. Cranmer

CoRR, November, 2025

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme.

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

CoRR, November, 2025

Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.

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

CoRR, November, 2025

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning.

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

CoRR, October, 2025

Controllable Patching for Compute-Adaptive Surrogate Modeling of Partial Differential Equations.

Payel Mukhopadhyay, Michael McCabe, Ruben Ohana, Miles D. Cranmer

CoRR, July, 2025

Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation.

François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, François Lanusse, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences.

Liam Holden Parker, François Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

"Zen 5": The AMD High-Performance 4nm x86-64 Microprocessor Core.

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

2024

Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task.

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

CoRR, 2024

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multiple Physics Pretraining for Spatiotemporal Surrogate Models.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2.2 "Zen 4c": The AMD 5nm Area-Optimized ×86-64 Microprocessor Core.

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

Towards Stability of Autoregressive Neural Operators.

Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown

Trans. Mach. Learn. Res., 2023

AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.

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

CoRR, 2023

Multiple Physics Pretraining for Physical Surrogate Models.

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

CoRR, 2023

xVal: A Continuous Number Encoding for Large Language Models.

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

CoRR, 2023

2022

Zen3: The AMD 2^nd-Generation 7nm x86-64 Microprocessor Core.

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

Learning to Assimilate in Chaotic Dynamical Systems.

Michael McCabe, Jed Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Mapper Comparison with Wasserstein Metrics.

Michael McCabe

CoRR, 2018

Participatory school design for participatory democracy.

Sean M. Z. Anderson, Michael McCabe

Proceedings of the 15th Participatory Design Conference: Short Papers, Situated Actions, Workshops and Tutorial, 2018

2007

Quantifying the performance isolation properties of virtualization systems.

Jeanna Neefe Matthews, Wenjin Hu, Madhujith Hapuarachchi, Todd Deshane, Demetrios Dimatos, Gary Hamilton, Michael McCabe, James Owens

Proceedings of the Workshop on Experimental Computer Science, 2007