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Assistant Professor in Data Intensive Science in DAMTP and the IoA, working on AI for scientific discovery.

Research: Google Scholar

Group page: astroautomata.com



[quanta magazine]

 

Publications

AstroCLIP: a cross-modal foundation model for galaxies
L Parker, F Lanusse, S Golkar, L Sarra, M Cranmer, A Bietti, M Eickenberg, G Krawezik, M McCabe, R Morel, R Ohana, M Pettee, BR-S Blancard, K Cho, S Ho, TPA Collaboration
– Monthly Notices of the Royal Astronomical Society
(2024)
531,
4990
AstroCLIP: A Cross-Modal Foundation Model for Galaxies
L Parker, F Lanusse, S Golkar, L Sarra, M Cranmer, A Bietti, M Eickenberg, G Krawezik, M McCabe, R Ohana, M Pettee, BR-S Blancard, T Tesileanu, K Cho, S Ho
(2024)
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task
S Golkar, A Bietti, M Pettee, M Eickenberg, M Cranmer, K Hirashima, G Krawezik, N Lourie, M McCabe, R Morel, R Ohana, LH Parker, BR-S Blancard, K Cho, S Ho
(2024)
Symbolic Regression on FPGAs for Fast Machine Learning Inference
HF Tsoi, AA Pol, V Loncar, E Govorkova, M Cranmer, S Dasu, P Elmer, P Harris, I Ojalvo, M Pierini
– EPJ Web of Conferences
(2024)
295,
09036
Symbolic Regression on FPGAs for Fast Machine Learning Inference
HF Tsoi, AA Pol, V Loncar, E Govorkova, M Cranmer, S Dasu, P Elmer, P Harris, I Ojalvo, M Pierini
(2024)
TheWell: a Large-Scale Collection of Diverse Physics Simulations forMachine Learning
R Ohana, M McCabe, L Meyer, R Morel, FJ Agocs, M Beneitez, M Berger, B Burkhart, SB Dalziel, DB Fielding, D Fortunato, JA Goldberg, K Hirashima, Y-F Jiang, RR Kerswell, S Maddu, J Miller, P Mukhopadhyay, SS Nixon, J Shen, R Watteaux, B Regaldo-Saint Blancard, F Rozet, LH Parker, M Cranmer, S Ho
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024)
(2024)
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciuca, M Cranmer, A Doh, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martinez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, C Stone, M Walmsley, JF Wu
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024)
(2024)
37,
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
M McCabe, BR-S Blancard, L Parker, R Ohana, M Cranmer, A Bietti, M Eickenberg, S Golkar, G Krawezik, F Lanusse, M Pettee, T Tesileanu, K Cho, S Ho
– Advances in Neural Information Processing Systems
(2024)
37,
119301
Symbolic Regression with a Learned Concept Library
A Grayeli, A Sehgal, O Costilla-Reyes, M Cranmer, S Chaudhuri
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024)
(2024)
37,
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
R Ohana, M McCabe, L Meyer, R Morel, F Agocs, M Beneitez, M Berger, B Burkhart, S Dalziel, D Fielding, D Fortunato, J Goldberg, K Hirashima, Y-F Jiang, R Kerswell, S Maddu, J Miller, P Mukhopadhyay, S Nixon, J Shen, R Watteaux, B Blancard, F Rozet, L Parker, M Cranmer, S Ho
– Advances in Neural Information Processing Systems 37
(2024)
37,
44989
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Research Group

Relativity and Gravitation

Room

B2.17