MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. - Yash Khare; Viraj Bagal; Minesh Mathew; Adithi Devi; U. Deva Priyakumar; C. V. Jawahar (ISBI, 2021)

Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs. - Yash Khare; Kumud Lakara; Maruthi Seshidhar Inukonda; Sparsh Mittal; Mahesh Chandra; Arvind Kaushik (DSC, 2022)

Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. - Pindi Krishna Chandra Prasad; Yash Khare; Kamalaker Dadi; P. K. Vinod; Bapi Raju Surampudi (IJCNN, 2022)

SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks. - Yash Khare; Kumud Lakara; Sparsh Mittal; Arvind Kaushik; Rekha Singhal (ISQED, 2023)

Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping. - Kevin Zhang; Luka Chkhetiani; Francis McCann Ramirez; Yash Khare; Andrea Vanzo; Michael Liang; Sergio Ramirez Martin; Gabriel Oexle; Ruben Bousbib; Taufiquzzaman Peyash; Michael Nguyen; Dillon Pulliam; et al. (CoRR, 2024)

Anatomy of Industrial Scale Multilingual ASR. - Francis McCann Ramirez; Luka Chkhetiani; Andrew Ehrenberg; Robert McHardy; Rami Botros; Yash Khare; Andrea Vanzo; Taufiquzzaman Peyash; Gabriel Oexle; Michael Liang; Ilya Sklyar; Enver Fakhan; et al. (CoRR, 2024)

Universal-2-TF: Robust All-Neural Text Formatting for ASR. - Yash Khare; Taufiquzzaman Peyash; Andrea Vanzo; Takuya Yoshioka (CoRR, 2025)