Arnav Kundu - RankMe

21 papers A* 1A 1Misc 5Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers. CoRR Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho
2025	Misc	`conf`	An Efficient and Streaming Audio Visual Active Speaker Detection System. ICASSP Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik
2025	J	`jnl`	EpiCache: Episodic KV Cache Management for Long Conversational Question Answering. CoRR Minsoo Kim, Arnav Kundu, Han-Byul Kim, Richa Dixit, Minsik Cho
2025	J	`jnl`	Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference. CoRR Nikhil Bhendawade, Kumari Nishu, Arnav Kundu, Chris Bartels, Minsik Cho, Irina Belousova
2025	J	`jnl`	MoE-PHDS: One MoE checkpoint for flexible runtime sparsity. CoRR Lauren A. Hannah, Soheil Zibakhsh, Kumari Nishu, Arnav Kundu, Mohammad Samragh Razlighi, Mehrdad Farajtabar, Minsik Cho
2025	J	`jnl`	MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE. CoRR Soheil Zibakhsh, Mohammad Samragh, Kumari Nishu, Lauren Hannah, Arnav Kundu, Minsik Cho
2025	A*	`conf`	SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models. ICML Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho
2025	J	`jnl`	SPD: Sync-Point Drop for efficient tensor parallelism of Large Language Models. CoRR Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho
2025	J	`jnl`	Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. CoRR Mohammad Samragh, Arnav Kundu, David Harrison, Kumari Nishu, Devang Naik, Minsik Cho, Mehrdad Farajtabar
2024	J	`jnl`	An Efficient and Streaming Audio Visual Active Speaker Detection System. CoRR Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik
2024	A	`conf`	RepCNN: Micro-sized, Mighty Models for Wakeword Detection. INTERSPEECH Arnav Kundu, Prateeth Nayak, Priyanka Padmanabhan, Devang Naik
2024	J	`jnl`	RepCNN: Micro-sized, Mighty Models for Wakeword Detection. CoRR Arnav Kundu, Prateeth Nayak, Hywel Richards, Priyanka Padmanabhan, Devang Naik
2024	Misc	`conf`	Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. ICASSP Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
2023	Misc	`conf`	HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik
2023	Misc	`conf`	I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
2023	J	`jnl`	R^2: Range Regularization for Model Compression and Quantization. CoRR Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya
2023	J	`jnl`	Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. CoRR Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
2022	J	`jnl`	HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik
2022	J	`jnl`	I see what you hear: a vision-inspired method to localize words. CoRR Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
2021	Misc	`conf`	Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
2020	J	`jnl`	Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel