Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. - Ashish Shrivastava 001; Arnav Kundu; Chandra Dhir; Devang Naik; Oncel Tuzel (ICASSP, 2021)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. - Arnav Kundu; Mohammad Samragh; Minsik Cho; Priyanka Padmanabhan; Devang Naik (ICASSP, 2023)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

R^2: Range Regularization for Model Compression and Quantization. - Arnav Kundu; Chungkuk Yoo; Srijan Mishra; Minsik Cho; Saurabh Adya (CoRR, 2023)

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. - Utkarsh Oggy Sarawgi; John Berkowitz; Vineet Garg; Arnav Kundu; Minsik Cho; Sai Srujana Buddi; Saurabh Adya; Ahmed H. Tewfik (ICASSP, 2024)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Priyanka Padmanabhan; Devang Naik (INTERSPEECH, 2024)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Hywel Richards; Priyanka Padmanabhan; Devang Naik (CoRR, 2024)

An Efficient and Streaming Audio Visual Active Speaker Detection System. - Arnav Kundu; Yanzi Jin; Mohammad Hossein Sekhavat; Maxwell Horton; Danny Tormoen; Devang Naik (ICASSP, 2025)

SPD: Sync-Point Drop for efficient tensor parallelism of Large Language Models. - Han-Byul Kim; Duc Hoang; Arnav Kundu; Mohammad Samragh; Minsik Cho (CoRR, 2025)

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. - Mohammad Samragh; Arnav Kundu; David Harrison; Kumari Nishu; Devang Naik; Minsik Cho; Mehrdad Farajtabar (CoRR, 2025)