mlpack 3: a fast, flexible machine learning library. - Ryan R. Curtin; Marcus Edel; Mikhail Lozhnikov; Yannis Mentekidis; Sumedh Ghaisas; Shangtong Zhang (J. Open Source Softw., 2018)

Adversarially Robust Representations with Smooth Encoders. - A. Taylan Cemgil; Sumedh Ghaisas; Krishnamurthy (Dj) Dvijotham; Pushmeet Kohli (ICLR, 2020)

The Autoencoding Variational Autoencoder. - A. Taylan Cemgil; Sumedh Ghaisas; Krishnamurthy Dvijotham; Sven Gowal; Pushmeet Kohli (NeurIPS, 2020)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

Scalable watermarking for identifying large language model outputs. - Sumanth Dathathri; Abigail See; Sumedh Ghaisas; Po-Sen Huang; Rob McAdam; Johannes Welbl; Vandana Bachani; Alex Kaskasoli; Robert Stanforth; Tatiana Matejovicova; Jamie Hayes; Nidhi Vyas; et al. (Nat., 2024)