Sanchari Sen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2017–2022
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | DAC | Efficiency attacks on spiking neural networks. | Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan |
| 2022 | ICCAD | Seprox: Sequence-Based Approximations for Compressing Ultra-Low Precision Deep Neural Networks. | Aradhana Mohan Parvathy, Sarada Krithivasan, Sanchari Sen, Anand Raghunathan |
| 2022 | IJCNN | AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models. | Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan |
| 2022 | ISLPED | Layerwise Disaggregated Evaluation of Spiking Neural Networks. | Abinand Nallathambi, Sanchari Sen, Anand Raghunathan, Nitin Chandrachoodan |
| 2021 | DATE | Value Similarity Extensions for Approximate Computing in General-Purpose Processors. | Younghoon Kim, Swagath Venkataramani, Sanchari Sen, Anand Raghunathan |
| 2021 | ISCA | RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan |
| 2021 | ISLPED | Efficacy of Pruning in Ultra-Low Precision DNNs. | Sanchari Sen, Swagath Venkataramani, Anand Raghunathan |
| 2020 | DATE | Sparsity-Aware Caches to Accelerate Deep Neural Networks. | Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan |
| 2020 | ICLR | EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks. | Sanchari Sen, Balaraman Ravindran, Anand Raghunathan |
| 2019 | ISLPED | Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks. | Sarada Krithivasan, Sanchari Sen, Swagath Venkataramani, Anand Raghunathan |
| 2017 | DATE | Approximate computing for spiking neural networks. | Sanchari Sen, Swagath Venkataramani, Anand Raghunathan |
| 2017 | ISLPED | A Programmable Event-driven Architecture for Evaluating Spiking Neural Networks. | Arnab Roy, Swagath Venkataramani, Neel Gala, Sanchari Sen, Kamakoti Veezhinathan, Anand Raghunathan |