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ORCIDSaurabh Dash
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2020 – today
- 2025
[i9]Aakanksha, Arash Ahmadian, Marwan Ahmed, Jay Alammar, Milad Alizadeh, Yazeed Alnumay, Sophia Althammer, Arkady Arkhangorodsky, Viraat Aryabumi, Dennis Aumiller, Raphaël Avalos, Zahara Aviv, Sammie Bae, Saurabh Baji, Alexandre Barbet, Max Bartolo, Björn Bebensee, Neeral Beladia, Walter Beller-Morales, Alexandre Bérard, Andrew Berneshawi, Anna Bialas, Phil Blunsom, Matt Bobkin, Adi Bongale, Sam Braun, Maxime Brunet, Samuel Cahyawijaya, David Cairuz, Jon Ander Campos, Cassie Cao, Kris Cao, Roman Castagné, Julián Cendrero, Leila Chan Currie, Yash Chandak, Diane Chang, Giannis Chatziveroglou, Hongyu Chen, Claire Cheng, Alexis Chevalier, Justin T. Chiu, Eugene Choi, Eujeong Choi, Tim Chung, Volkan Cirik, Ana Cismaru, Pierre Clavier, Henry Conklin, Lucas Crawhall-Stein, Devon Crouse, Felipe Cruz-Salinas, Ben Cyrus, Daniel D'souza, Hugo Dalla-Torre, John Dang, William Darling, Omar Darwiche Domingues, Saurabh Dash, Antoine Debugne, Théo Dehaze, Shaan Desai, Joan Devassy, Rishit Dholakia, Kyle Duffy, Ali Edalati, Ace Eldeib, Abdullah Elkady, Sarah Elsharkawy, Irem Ergün, Beyza Ermis, Marzieh Fadaee, Boyu Fan, Lucas Fayoux, Yannis Flet-Berliac, Nick Frosst, Matthias Gallé, Wojciech Galuba, Utsav Garg, Matthieu Geist, Mohammad Gheshlaghi Azar, Ellen Gilsenan-McMahon, Seraphina Goldfarb-Tarrant, Tomas Goldsack, Aidan N. Gomez, Victor Machado Gonzaga, Nithya Govindarajan, Manoj Govindassamy, Nathan Grinsztajn, Nikolas Gritsch, Patrick Gu, Shangmin Guo, Kilian Haefeli, Rod Hajjar, Tim Hawes, Jingyi He, Sebastian Hofstätter, Sungjin Hong:
Command A: An Enterprise-Ready Large Language Model. CoRR abs/2504.00698 (2025)- 2024
- [c10]Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet Üstün, Sara Hooker, Sebastian Ruder:
How Does Quantization Affect Multilingual LLMs? EMNLP (Findings) 2024: 15928-15947 - [i8]Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR abs/2405.15032 (2024) - [i7]Davide Paglieri, Saurabh Dash, Tim Rocktäschel, Jack Parker-Holder:
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. CoRR abs/2405.20835 (2024) - [i6]Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet Üstün, Sara Hooker, Sebastian Ruder:
How Does Quantization Affect Multilingual LLMs? CoRR abs/2407.03211 (2024) - 2023
- [c9]Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay:
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. DATE 2023: 1-6 - [c8]Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay:
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. ICLR 2023 - [c7]Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker:
Intriguing Properties of Quantization at Scale. NeurIPS 2023 - [i5]Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker:
Intriguing Properties of Quantization at Scale. CoRR abs/2305.19268 (2023) - 2022
- [j2]Saurabh Dash
, Yandong Luo, Anni Lu, Shimeng Yu, Saibal Mukhopadhyay:
Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1006-1019 (2022) - [c6]Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay:
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. ICLR 2022 - [c5]Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. IJCNN 2022: 1-8 - [c4]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN 2022: 1-8 - [i4]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR abs/2207.12323 (2022) - [i3]Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. CoRR abs/2208.05736 (2022) - 2021
- [j1]Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. Neural Networks 144: 359-371 (2021) - [c3]Nathan Eli Miller, Zheng Wang, Saurabh Dash, Asif Islam Khan, Saibal Mukhopadhyay:
Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators. AICAS 2021: 1-4 - [c2]Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
Reliable Edge Intelligence in Unreliable Environment. DATE 2021: 896-901 - 2020
- [c1]Saurabh Dash, Saibal Mukhopadhyay:
Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. ICCAD 2020: 76:1-76:9 - [i2]Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems. CoRR abs/2004.06243 (2020)
2010 – 2019
- 2016
- [i1]Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, P. N. Vamshi:
Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode. CoRR abs/1611.00331 (2016)
Coauthor Index
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