Sumedh Ghaisas

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 5

Top Topics

Variational Framework

Methods In Computer Vision

Multiplicative Noise Removal

Framework For Image Segmentation

Top Venues

J. Open Source Softw.

Publications

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
Autoencoding Variational Autoencoder. CoRR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli
Adversarially Robust Representations with Smooth Encoders. ICLR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
The Autoencoding Variational Autoencoder. NeurIPS (2020)
Ryan R. Curtin, Marcus Edel, Mikhail Lozhnikov, Yannis Mentekidis, Sumedh Ghaisas, Shangtong Zhang
mlpack 3: a fast, flexible machine learning library. J. Open Source Softw. 3 (26) (2018)