Avik Roy - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks. CoRR Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr V. Kindratenko, Mark S. Neubauer
2023	J	`jnl`	A detailed study of interpretability of deep neural network based top taggers. Mach. Learn. Sci. Technol. Ayush Khot, Mark S. Neubauer, Avik Roy
2023	J	`jnl`	FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 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
2023	J	`jnl`	Recipes for when physics fails: recovering robust learning of physics informed neural networks. Mach. Learn. Sci. Technol. Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
2022	J	`jnl`	A Detailed Study of Interpretability of Deep Neural Network based Top Taggers. CoRR Ayush Khot, Mark S. Neubauer, Avik Roy
2022	J	`jnl`	Data Science and Machine Learning in Education. CoRR 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
2022	J	`jnl`	Explainable AI for High Energy Physics. CoRR Mark S. Neubauer, Avik Roy
2022	J	`jnl`	FAIR AI Models in High Energy Physics. CoRR 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
2022	J	`jnl`	FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR 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, 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
2021	J	`jnl`	Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR Chandrajit Bajaj, Avik Roy, Haoran Zhang
2021	J	`jnl`	Robust Learning of Physics Informed Neural Networks. CoRR Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy