Rishabh Tiwari

32 papers A* 6A 1B 1Misc 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interleaved Head Attention. CoRR Sai Surya Duvvuri, Chanakya Ekbote, Rachit Bansal, Rishabh Tiwari, Devvrit Khatri, David Brandfonbrener, Paul Pu Liang, Inderjit S. Dhillon, Manzil Zaheer
2026	J	`jnl`	Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models. CoRR Rishabh Tiwari, Aditya Tomar, Udbhav Bamba, Monishwaran Maheswaran, Heng Yang, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2026	J	`jnl`	V CoRR Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu, Junxiong Wang, Alpay Ariyak, Qingyang Wu, Samir Khaki, Rishabh Tiwari, Long Lian, Yucheng Lu, Boyi Li, Alane Suhr, Ben Athiwaratkun, Kurt Keutzer
2025	J	`jnl`	Arbitrage: Efficient Reasoning via Advantage-Aware Speculation. CoRR Monishwaran Maheswaran, Rishabh Tiwari, Yuezhou Hu, Kerem Dilmen, Coleman Hooper, Haocheng Xi, Nicholas Lee, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs. CoRR Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Sanjay Kale, Samy Jelassi
2025	A*	`conf`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. ICML Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. CoRR Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	SPECS: Faster Test-Time Scaling through Speculative Drafts. CoRR Mert Cemri, Nived Rajaraman, Rishabh Tiwari, Xiaoxuan Liu, Kurt Keutzer, Ion Stoica, Kannan Ramchandran, Ahmad Beirami, Ziteng Sun
2025	J	`jnl`	SciML Agents: Write the Solver, Not the Solution. CoRR Saarth Gaonkar, Xiang Zheng, Haocheng Xi, Rishabh Tiwari, Kurt Keutzer, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami
2025	J	`jnl`	The Art of Scaling Reinforcement Learning Compute for LLMs. CoRR Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Sai Surya Duvvuri, Manzil Zaheer, Inderjit S. Dhillon, David Brandfonbrener, Rishabh Agarwal
2025	J	`jnl`	Why Do Multi-Agent LLM Systems Fail? CoRR Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2025	J	`jnl`	XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization. CoRR Aditya Tomar, Coleman Hooper, Minjae Lee, Haocheng Xi, Rishabh Tiwari, Wonjun Kang, Luca Manolache, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2024	A	`conf`	Using Early Readouts to Mediate Featural Bias in Distillation. WACV Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
2023	J	`jnl`	A novel YOLOv4-modified approach for efficient object detection in satellite imagery. Expert Syst. J. Knowl. Eng. Rishabh Tiwari, Ashwani Kumar Dubey, Álvaro Rocha
2023	A*	`conf`	Interactive Concept Bottleneck Models. AAAI Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
2023	Misc	`conf`	On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2023	A*	`conf`	Overcoming Simplicity Bias in Deep Networks using a Feature Sieve. ICML Rishabh Tiwari, Pradeep Shenoy
2023	—	`conf`	RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, Haemoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen
2023	J	`jnl`	Sifer: Overcoming simplicity bias in deep networks using a feature sieve. CoRR Rishabh Tiwari, Pradeep Shenoy
2023	J	`jnl`	Using Early Readouts to Mediate Featural Bias in Distillation. CoRR Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
2022	A*	`conf`	Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022	J	`jnl`	Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022	A*	`conf`	GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. CVPR Rishabh Tiwari, Krishnateja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
2022	J	`jnl`	Interactive Concept Bottleneck Models. CoRR Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
2022	J	`jnl`	On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2021	A*	`conf`	ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021	J	`jnl`	ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021	J	`jnl`	GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. CoRR Rishabh Tiwari, Krishnateja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
2021	B	`conf`	Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2021	J	`jnl`	Rescaling CNN through Learnable Repetition of Network Parameters. CoRR Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2020	J	`jnl`	Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection. CoRR Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj
2020	—	`conf`	Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection. EndoCV@ISBI Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj