Search Results for author: Devansh Agarwal

Found 5 papers, 3 papers with code

Towards deeper neural networks for Fast Radio Burst detection

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

Initial results from a realtime FRB search with the GBT

1 code implementation31 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

On Adversarial Robustness: A Neural Architecture Search perspective

1 code implementation16 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.

Adversarial Robustness Neural Architecture Search

Masked Image Modeling Advances 3D Medical Image Analysis

no code implementations25 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.

Contrastive Learning Image Segmentation +3

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