Saurabh Dash

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Optimization Method

Recurrent Neural Networks

Jacobian Matrix

Top Venues

Publications

Davide Paglieri, Saurabh Dash, Tim Rocktäschel, Jack Parker-Holder
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. CoRR (2024)
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 (2024)
Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet Üstün, Sara Hooker, Sebastian Ruder
How Does Quantization Affect Multilingual LLMs? CoRR (2024)
Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
Intriguing Properties of Quantization at Scale. CoRR (2023)
Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. DATE (2023)
Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. ICLR (2023)
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)
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR (2022)
Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay
Learning Point Processes using Recurrent Graph Network. IJCNN (2022)
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) (2022)
Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. ICLR (2022)
Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay
Learning Point Processes using Recurrent Graph Network. CoRR (2022)
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN (2022)
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)
Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay
Reliable Edge Intelligence in Unreliable Environment. DATE (2021)
Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay
Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. Neural Networks 144 (2021)
Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay
PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems. CoRR (2020)
Saurabh Dash, Saibal Mukhopadhyay
Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. ICCAD (2020)
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 (2016)