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Avik Roy
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2020 – today
- 2023
- [j3]Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
:
Recipes for when physics fails: recovering robust learning of physics informed neural networks. Mach. Learn. Sci. Technol. 4(1): 15013 (2023) - [j2]Ayush Khot
A detailed study of interpretability of deep neural network based top taggers. Mach. Learn. Sci. Technol. 4(3): 35003 (2023) - [j1]Javier M. Duarte
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4(4): 45062 (2023) - 2022
- [i7]Mark S. Neubauer, Avik Roy:
Explainable AI for High Energy Physics. CoRR abs/2206.06632 (2022) - [i6]Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis:
Data Science and Machine Learning in Education. CoRR abs/2207.09060 (2022) - [i5]Ayush Khot, Mark S. Neubauer, Avik Roy:
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers. CoRR abs/2210.04371 (2022) - [i4]Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i3]Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao:
FAIR AI Models in High Energy Physics. CoRR abs/2212.05081 (2022) - 2021
- [i2]Chandrajit Bajaj, Avik Roy
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR abs/2107.11717 (2021) - [i1]Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
Robust Learning of Physics Informed Neural Networks. CoRR abs/2110.13330 (2021)
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