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 (Experimental Computer Science, 2007)

Participatory school design for participatory democracy. - Sean M. Z. Anderson; Michael McCabe (PDC (2), 2018)

Mapper Comparison with Wasserstein Metrics. - Michael McCabe (CoRR, 2018)

Learning to Assimilate in Chaotic Dynamical Systems. - Michael McCabe; Jed Brown (NeurIPS, 2021)

Zen3: The AMD 2nd-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; et al. (ISSCC, 2022)

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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2023)

Towards Stability of Autoregressive Neural Operators. - Michael McCabe; Peter Harrington; Shashank Subramanian; Jed Brown (Trans. Mach. Learn. Res., 2023)

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; et al. (ISSCC, 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; et al. (NeurIPS, 2024)

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. - Ruben Ohana; Michael McCabe; Lucas Meyer; Rudy Morel; Fruzsina J. Agocs; Miguel Beneitez; Marsha Berger; Blakesley Burkhart; Stuart B. Dalziel; Drummond B. Fielding; Daniel Fortunato; Jared A. Goldberg; et al. (NeurIPS, 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; et al. (CoRR, 2024)

"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; et al. (ISSCC, 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 (CoRR, 2025)

Controllable Patching for Compute-Adaptive Surrogate Modeling of Partial Differential Equations. - Payel Mukhopadhyay; Michael McCabe; Ruben Ohana; Miles D. Cranmer (CoRR, 2025)