NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (20)

cs.LG2024

Multiple Physics Pretraining for Physical Surrogate Models

Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker +11

cs.LG2024

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

Siavash Golkar, Alberto Bietti, Mariel Pettee +12

cs.CG2018

Mapper Comparison with Wasserstein Metrics

Michael McCabe

astro-ph.EP2011

On the Origin and Evolution of Life in the Galaxy

Michael McCabe, Holly Lucas

cs.LG2025

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

Rudy Morel, Francesco Pio Ramunno, Jeff Shen +18

cs.LG2026

Representation Learning for Spatiotemporal Physical Systems

Helen Qu, Rudy Morel, Michael McCabe +4

cs.LG2025

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

Rio Alexa Fear, Payel Mukhopadhyay, Michael McCabe +2

cs.LG2021

Learning to Assimilate in Chaotic Dynamical Systems

Michael McCabe, Jed Brown

cs.LG2026

Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators

Payel Mukhopadhyay, Michael McCabe, Ruben Ohana +1

astro-ph.IM2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker, Francois Lanusse, Jeff Shen +24

cs.LG2023

Towards Stability of Autoregressive Neural Operators

Michael McCabe, Peter Harrington, Shashank Subramanian +1

cs.LG2025

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

François Rozet, Ruben Ohana, Michael McCabe +3

cs.AI2026

MIMIC: A Generative Multimodal Foundation Model for Biomolecules

Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28

physics.flu-dyn2026

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence

Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux +20

cs.LG2026

On the Value of Tokeniser Pretraining in Physics Foundation Models

Hadi Sotoudeh, Payel Mukhopadhyay, Ruben Ohana +4

astro-ph.IM2025

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning

Jeff Shen, Francois Lanusse, Liam Holden Parker +24

cs.LG2025

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

Ruben Ohana, Michael McCabe, Lucas Meyer +24

astro-ph.IM2024

AstroCLIP: A Cross-Modal Foundation Model for Galaxies

Liam Parker, Francois Lanusse, Siavash Golkar +12

cs.LG2026

Walrus: A Cross-Domain Foundation Model for Continuum Dynamics

Michael McCabe, Payel Mukhopadhyay, Tanya Marwah +22

stat.ML2024

xVal: A Continuous Numerical Tokenization for Scientific Language Models

Siavash Golkar, Mariel Pettee, Michael Eickenberg +11