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2020 – today
- 2024
[i9]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:
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR abs/2406.02585 (2024)- 2023
- [i8]Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins:
Weakly-Supervised Anomaly Detection in the Milky Way. CoRR abs/2305.03761 (2023) - [i7]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:
xVal: A Continuous Number Encoding for Large Language Models. CoRR abs/2310.02989 (2023) - [i6]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:
Multiple Physics Pretraining for Physical Surrogate Models. CoRR abs/2310.02994 (2023) - [i5]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:
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR abs/2310.03024 (2023) - 2022
- [c2]Mathilde Papillon, Mariel Pettee, Nina Miolane:
PirouNet: Creating Dance Through Artist-Centric Deep Learning. ArtsIT 2022: 447-465 - [i4]Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais:
Symmetry Group Equivariant Architectures for Physics. CoRR abs/2203.06153 (2022) - [i3]Mathilde Papillon, Mariel Pettee, Nina Miolane:
PirouNet: Creating Intentional Dance with Semi-Supervised Conditional Recurrent Variational Autoencoders. CoRR abs/2207.12126 (2022) - [i2]Mathilde Papillon, Mariel Pettee, Nina Miolane:
Intentional Choreography with Semi-Supervised Recurrent VAEs. CoRR abs/2209.10010 (2022)
2010 – 2019
- 2019
- [c1]Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin:
Beyond Imitation: Generative and Variational Choreography via Machine Learning. ICCC 2019: 196-203 - [i1]Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin:
Beyond Imitation: Generative and Variational Choreography via Machine Learning. CoRR abs/1907.05297 (2019)
Coauthor Index
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