Ganesh Venkatesh

45 papers A* 6A 4B 1Misc 4Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Calibrated Reasoning: An Explanatory Verifier for Dynamic and Efficient Problem-Solving. CoRR Anisha Garg, Engin Tekin, Yash More, David Bick, Nishit Neema, Ganesh Venkatesh
2025	J	`jnl`	From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning. CoRR Nishit Neema, Srinjoy Mukherjee, Sapan Shah, Gokul Ramakrishnan, Ganesh Venkatesh
2025	J	`jnl`	Introducing a foundational sequence transformer for range adaptive nucleotide decoding (STRAND). Briefings Bioinform. Shant Ayanian, Collin Osborne, Clark Xu, Carl Molnar, Pravat Das, Xoab Perez, Natalia Vassilieva, Vinay Pondenkandath, Bhargav Kanakiya, Ganesh Venkatesh, May Levin, Matt Redlon, Marc Blasi, Vijay H. Shah, Matthew Callstrom, Konstantinos N. Lazaridis, Panos Korfiatis, Alexander Ryu, Elena Myasoedova
2025	J	`jnl`	Looking Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Models. CoRR Aarti Ghatkesar, Uddeshya Upadhyay, Ganesh Venkatesh
2025	J	`jnl`	Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs. CoRR Yuanxin Wang, Ganesh Venkatesh
2025	—	`conf`	Self-Data Distillation for Recovering Quality in Pruned Large Language Models. MLSys Vithursan Thangarasa, Ganesh Venkatesh, Mike Lasby, Nish Sinnadurai, Sean Lie
2025	J	`jnl`	The Conductor and the Engine: A Path Towards Co-Designed Reasoning. CoRR Yuanxin Wang, Pawel Filipczuk, Anisha Garg, Amaan Dhada, Mohammad Hassanpour, David Bick, Ganesh Venkatesh
2025	J	`jnl`	The Peril of Preference: Why GRPO fails on Ordinal Rewards. CoRR Anisha Garg, Ganesh Venkatesh
2024	J	`jnl`	Self-Data Distillation for Recovering Quality in Pruned Large Language Models. CoRR Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie
2023	A	`conf`	Temporally Consistent Online Depth Estimation in Dynamic Scenes. WACV Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
2022	Misc	`conf`	Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Accelerating Sparse Deep Neural Networks. CoRR Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius
2021	J	`jnl`	Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak
2021	A	`conf`	Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. CoRR David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat
2021	A*	`conf`	Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
2021	Misc	`conf`	Memory-Efficient Speech Recognition on Smart Devices. ICASSP Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Memory-efficient Speech Recognition on Smart Devices. CoRR Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Noisy Training Improves E2E ASR for the Edge. CoRR Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Temporally Consistent Online Depth Estimation in Dynamic Scenes. CoRR Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
2020	J	`jnl`	Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille
2020	J	`jnl`	Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
2020	J	`jnl`	TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. CoRR Hyojin Park, Ganesh Venkatesh, Nojun Kwak
2018	—	`conf`	Mixed Precision Training. ICLR (Poster) Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
2017	Misc	`conf`	Accelerating Deep Convolutional Networks using low-precision and sparsity. ICASSP Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
2017	A	`conf`	Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh
2017	—	`conf`	Fine-grained accelerators for sparse machine learning workloads. ASP-DAC Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr
2017	J	`jnl`	Mixed Precision Training. CoRR Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
2016	—	`conf`	Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr
2016	J	`jnl`	Accelerating Deep Convolutional Networks using low-precision and sparsity. CoRR Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
2016	A	`conf`	Hardware accelerator for analytics of sparse data. DATE Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr
2013	—	`conf`	APE: accelerator processor extensions to optimize data-compute co-location. MSPC@PLDI Ganesh Venkatesh
2013	A*	`conf`	Runnemede: An architecture for Ubiquitous High-Performance Computing. HPCA Nicholas P. Carter, Aditya Agrawal, Shekhar Borkar, Romain Cledat, Howard David, Dave Dunning, Joshua B. Fryman, Ivan Ganev, Roger A. Golliver, Rob C. Knauerhase, Richard Lethin, Benoît Meister, Asit K. Mishra, Wilfred R. Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Ganesh Venkatesh, Jianping Xu
2011	B	`conf`	An Evaluation of Selective Depipelining for FPGA-Based Energy-Reducing Irregular Code Coprocessors. FPL Jack Sampson, Manish Arora, Nathan Goulding-Hotta, Ganesh Venkatesh, Jonathan Babb, Vikram Bhatt, Steven Swanson, Michael Bedford Taylor
2011	—	`—`	Configurable energy-efficient co-processors to scale the utilization wall. Ganesh Venkatesh
2011	A*	`conf`	Efficient complex operators for irregular codes. HPCA Jack Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson, Michael Bedford Taylor
2011	A*	`conf`	QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores. MICRO Ganesh Venkatesh, Jack Sampson, Nathan Goulding-Hotta, Sravanthi Kota Venkata, Michael Bedford Taylor, Steven Swanson
2011	Misc	`conf`	Reducing the Energy Cost of Irregular Code Bases in Soft Processor Systems. FCCM Manish Arora, Jack Sampson, Nathan Goulding-Hotta, Jonathan Babb, Ganesh Venkatesh, Michael Bedford Taylor, Steven Swanson
2011	J	`jnl`	The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future. IEEE Micro Nathan Goulding-Hotta, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Po-Chao Huang, Manish Arora, Siddhartha Nath, Vikram Bhatt, Jonathan Babb, Steven Swanson, Michael B. Taylor
2010	A*	`conf`	Conservation cores: reducing the energy of mature computations. ASPLOS Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, Michael Bedford Taylor
2010	—	`conf`	GreenDroid: A mobile application processor for a future of dark silicon. Hot Chips Symposium Nathan Goulding, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb, Michael B. Taylor, Steven Swanson
2006	A*	`conf`	Unbounded page-based transactional memory. ASPLOS Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, Jack Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder, Osvaldo Colavin
2005	—	`conf`	Exploiting a Computation Reuse Cache to Reduce Energy in Network Processors. HiPEAC Bengu Li, Ganesh Venkatesh, Brad Calder, Rajiv Gupta