Mukul Gagrani - RankMe

31 papers A* 2C 3Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConFu: Contemplate the Future for Better Speculative Sampling. CoRR Zongyue Qin, Raghavv Goel, Mukul Gagrani, Risheek Garrepalli, Mingu Lee, Yizhou Sun
2026	J	`jnl`	Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing. CoRR Raghavv Goel, Mukul Gagrani, Mingu Lee, Chris Lott
2026	J	`jnl`	Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity. CoRR Aayush Gautam, Mukul Gagrani, Junyoung Park, Mingu Lee, Chiris Lott, Narasimha Reddy
2025	J	`jnl`	CAOTE: KV Caching through Attention Output Error based Token Eviction. CoRR Raghavv Goel, Junyoung Park, Mukul Gagrani, Dalton Jones, Matthew J. Morse, Harper Langston, Mingu Lee, Christopher Lott
2025	J	`jnl`	VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs. CoRR Raghavv Goel, Sudhanshu Agrawal, Mukul Gagrani, Junyoung Park, Yifan Zao, He Zhang, Tian Liu, Yiping Yang, Xin Yuan, Jiuyan Lu, Chris Lott, Mingu Lee
2024	J	`jnl`	Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. CoRR Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott
2024	J	`jnl`	On Speculative Decoding for Multimodal Large Language Models. CoRR Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott
2024	J	`jnl`	Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement. CoRR Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott
2023	A*	`conf`	Neural DAG Scheduling via One-Shot Priority Sampling. ICLR Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
2022	—	`conf`	A modified Thompson sampling-based learning algorithm for unknown linear systems. CDC Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
2022	A*	`conf`	Neural Topological Ordering for Computation Graphs. NeurIPS Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
2022	J	`jnl`	Neural Topological Ordering for Computation Graphs. CoRR Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
2021	J	`jnl`	A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. CoRR Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
2021	—	`conf`	Thompson sampling for linear quadratic mean-field teams. CDC Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
2021	J	`jnl`	Worst-Case Guarantees for Remote Estimation of an Uncertain Source. IEEE Trans. Autom. Control. Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar
2020	J	`jnl`	Optimal Scheduling Strategy for Networked Estimation With Energy Harvesting. IEEE Trans. Control. Netw. Syst. Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra
2020	J	`jnl`	Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. IEEE Trans. Autom. Control. Yi Ouyang, Mukul Gagrani, Rahul Jain
2020	C	`conf`	Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem. ACC Seyed Mohammad Asghari, Mukul Gagrani, Ashutosh Nayyar
2020	J	`jnl`	Thompson sampling for linear quadratic mean-field teams. CoRR Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
2020	C	`conf`	Weakly Coupled Constrained Markov Decision Processes in Borel Spaces. ACC Mukul Gagrani, Ashutosh Nayyar
2019	J	`jnl`	Optimal scheduling strategy for networked estimation with energy harvesting. CoRR Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra
2019	J	`jnl`	Worst-case Guarantees for Remote Estimation of an Uncertain Source. CoRR Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar
2018	—	`conf`	Scheduling and Estimation Strategies in a Sequential Networked Estimation Problem. Allerton Mukul Gagrani, Marcos M. Vasconcelos, Ashutosh Nayyar
2018	—	`conf`	Thompson Sampling for some decentralized control problems. CDC Mukul Gagrani, Ashutosh Nayyar
2017	—	`conf`	Control of unknown linear systems with Thompson sampling. Allerton Yi Ouyang, Mukul Gagrani, Rahul Jain
2017	C	`conf`	Decentralized minimax control problems with partial history sharing. ACC Mukul Gagrani, Ashutosh Nayyar
2017	—	`conf`	Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. NIPS Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
2017	J	`jnl`	Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. CoRR Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
2017	J	`jnl`	Learning-based Control of Unknown Linear Systems with Thompson Sampling. CoRR Yi Ouyang, Mukul Gagrani, Rahul Jain
2014	J	`jnl`	Transmit and Receive Antenna Pairing in MIMO Relay Networks. IEEE Commun. Lett. Mukul Gagrani, A. K. Chaturvedi
2011	—	`conf`	On noise-enhanced distributed inference in the presence of Byzantines. Allerton Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney