Avik Roy

According to our database, Avik Roy authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

FAIR AI models in high energy physics.

Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. 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

Mach. Learn. Sci. Technol., December, 2023

A detailed study of interpretability of deep neural network based top taggers.

Ayush Khot, Mark S. Neubauer, Avik Roy

Mach. Learn. Sci. Technol., September, 2023

Recipes for when physics fails: recovering robust learning of physics informed neural networks.

Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy

Mach. Learn. Sci. Technol., March, 2023

2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

E. 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, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

CoRR, 2022

Data Science and Machine Learning in Education.

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

CoRR, 2022

Explainable AI for High Energy Physics.

Mark S. Neubauer, Avik Roy

CoRR, 2022

2021

Robust Learning of Physics Informed Neural Networks.

Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy

CoRR, 2021

Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning.

Chandrajit Bajaj, Avik Roy, Haoran Zhang

CoRR, 2021