Saurabh Dash

According to our database, Saurabh Dash authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

CoRR, 2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception.

Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception.

Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation.

Saurabh Dash, Yandong Luo, Anni Lu, Shimeng Yu, Saibal Mukhopadhyay

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Unsupervised Hebbian Learning on Point Sets in StarCraft II.

Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Point Processes using Recurrent Graph Network.

Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay

Proceedings of the International Joint Conference on Neural Networks, 2022

Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods.

Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems.

Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay

Neural Networks, 2021

Reliable Edge Intelligence in Unreliable Environment.

Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators.

Nathan Eli Miller, Zheng Wang, Saurabh Dash, Asif Islam Khan, Saibal Mukhopadhyay

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems.

Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay

CoRR, 2020

Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference.

Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2016

Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode.

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

CoRR, 2016