Mariel Pettee

18 papers A* 1C 2Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dyads: Artist-Centric, AI-Generated Dance Duets.
CoRR
Zixuan Wang, Luis Zerkowski, Ilya Vidrin, Mariel Pettee
2025 J jnl
Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks.
CoRR
Luis Vitor Zerkowski, Zixuan Wang, Ilya Vidrin, Mariel Pettee
2025 J jnl
Multimodal Datasets with Controllable Mutual Information.
CoRR
Raheem Karim Hashmani, Garrett W. Merz, Helen Qu, Mariel Pettee, Kyle Cranmer
2025 J jnl
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning.
CoRR
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
2025 J jnl
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.
CoRR
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
2025 J jnl
What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models.
CoRR
Abhipsha Das, Nicholas Lourie, Siavash Golkar, Mariel Pettee
2024 J jnl
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task.
CoRR
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
2024 A* conf
Multiple Physics Pretraining for Spatiotemporal Surrogate Models.
NeurIPS
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
2023 J jnl
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.
CoRR
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
2023 J jnl
Multiple Physics Pretraining for Physical Surrogate Models.
CoRR
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
2023 J jnl
Weakly-Supervised Anomaly Detection in the Milky Way.
CoRR
Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins
2023 J jnl
xVal: A Continuous Number Encoding for Large Language Models.
CoRR
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
2022 J jnl
Intentional Choreography with Semi-Supervised Recurrent VAEs.
CoRR
Mathilde Papillon, Mariel Pettee, Nina Miolane
2022 C conf
PirouNet: Creating Dance Through Artist-Centric Deep Learning.
ArtsIT
Mathilde Papillon, Mariel Pettee, Nina Miolane
2022 J jnl
PirouNet: Creating Intentional Dance with Semi-Supervised Conditional Recurrent Variational Autoencoders.
CoRR
Mathilde Papillon, Mariel Pettee, Nina Miolane
2022 J jnl
Symmetry Group Equivariant Architectures for Physics.
CoRR
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
2019 C conf
Beyond Imitation: Generative and Variational Choreography via Machine Learning.
ICCC
Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin
2019 J jnl
Beyond Imitation: Generative and Variational Choreography via Machine Learning.
CoRR
Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin