Mariel Pettee

According to our database, Mariel Pettee authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Multimodal Datasets with Controllable Mutual Information.

Raheem Karim Hashmani, Garrett W. Merz, Helen Qu, Mariel Pettee, Kyle Cranmer

CoRR, October, 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

What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models.

Abhipsha Das, Nicholas Lourie, Siavash Golkar, Mariel Pettee

CoRR, March, 2025

Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks.

Luis Vitor Zerkowski, Zixuan Wang, Ilya Vidrin, Mariel Pettee

CoRR, March, 2025

Dyads: Artist-Centric, AI-Generated Dance Duets.

Zixuan Wang, Luis Zerkowski, Ilya Vidrin, Mariel Pettee

CoRR, March, 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

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

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

Weakly-Supervised Anomaly Detection in the Milky Way.

Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins

CoRR, 2023

2022

Intentional Choreography with Semi-Supervised Recurrent VAEs.

Mathilde Papillon, Mariel Pettee, Nina Miolane

CoRR, 2022

PirouNet: Creating Intentional Dance with Semi-Supervised Conditional Recurrent Variational Autoencoders.

Mathilde Papillon, Mariel Pettee, Nina Miolane

CoRR, 2022

Symmetry Group Equivariant Architectures for Physics.

Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala E. Shanahan, Chase Shimmin, Savannah Thais

CoRR, 2022

PirouNet: Creating Dance Through Artist-Centric Deep Learning.

Mathilde Papillon, Mariel Pettee, Nina Miolane

Proceedings of the ArtsIT, Interactivity and Game Creation, 2022

2019

Beyond Imitation: Generative and Variational Choreography via Machine Learning.

Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin

Proceedings of the Tenth International Conference on Computational Creativity, 2019