1 code implementation • journal 2019 • Devansh Agarwal, Kshitij Aggarwal, Sarah Burke-Spolaor, Duncan R. Lorimer, Nathaniel Garver-Daniels
In this paper, we have used the technique of Transfer Learning to train the state-of-the-art deep neural networks for classification of FRB and Radio Frequency Interference (RFI) candidates.
Instrumentation and Methods for Astrophysics
no code implementations • 13 Mar 2019 • Mayuresh P. Surnis, Devansh Agarwal, Duncan R. Lorimer, Xin Pei, Griffin Foster, Aris Karastergiou, Golnoosh Golpayegani, Ronald J. Maddalena, Steve White, Wes Armour, Jeff Cobb, Maura A. McLaughlin, David H. E. MacMahon, Andrew P. V. Siemion, Dan Werthimer, Chris J. Williams
We describe the design and deployment of GREENBURST, a commensal Fast Radio Burst (FRB) search system at the Green Bank Telescope.
Instrumentation and Methods for Astrophysics
1 code implementation • 31 Mar 2020 • Devansh Agarwal, D. R. Lorimer, M. P. Surnis, X. Pei, A. Karastergiou, G. Golpayegani, D. Werthimer, J. Cobb, M. A. McLaughlin, S. White, W. Armour, D. H. E. MacMahon, A. P. V. Siemion, G. Foster
Depending on the observing mode, this translates to peak flux sensitivities in the range 0. 14--0. 89~Jy.
Instrumentation and Methods for Astrophysics
1 code implementation • 16 Jul 2020 • Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian
We show that NAS, which is popular for achieving SoTA accuracy, can provide adversarial accuracy as a free add-on without any form of adversarial training.
no code implementations • 25 Apr 2022 • Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Samit Hirawat, Venkat Sethuraman, Mariann Micsinai Balan, Kevin Brown
Recently, masked image modeling (MIM) has gained considerable attention due to its capacity to learn from vast amounts of unlabeled data and has been demonstrated to be effective on a wide variety of vision tasks involving natural images.