Avik Roy

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Cascade Correlation

High Energy Physics

Artificial General Intelligence

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ayush Khot, Mark S. Neubauer, Avik Roy
A detailed study of interpretability of deep neural network based top taggers. Mach. Learn. Sci. Technol. 4 (3) (2023)
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
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
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) (2023)
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
FAIR AI Models in High Energy Physics. CoRR (2022)
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
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR (2022)
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 (2022)
Mark S. Neubauer, Avik Roy
Explainable AI for High Energy Physics. CoRR (2022)
Ayush Khot, Mark S. Neubauer, Avik Roy
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers. CoRR (2022)
Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
Robust Learning of Physics Informed Neural Networks. CoRR (2021)
Chandrajit Bajaj, Avik Roy, Haoran Zhang
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR (2021)