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; et al. (CoRR, 2016)

Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. - Saurabh Dash; Saibal Mukhopadhyay (ICCAD, 2020)

PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems. - Priyabrata Saha; Saurabh Dash; Saibal Mukhopadhyay (CoRR, 2020)

Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators. - Nathan Eli Miller; Zheng Wang; Saurabh Dash; Asif Islam Khan; Saibal Mukhopadhyay (AICAS, 2021)

Reliable Edge Intelligence in Unreliable Environment. - Minah Lee; Xueyuan She; Biswadeep Chakraborty; Saurabh Dash; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (DATE, 2021)

Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. - Priyabrata Saha; Saurabh Dash; Saibal Mukhopadhyay (Neural Networks, 2021)

Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. - Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (ICLR, 2022)

Learning Point Processes using Recurrent Graph Network. - Saurabh Dash; Xueyuan She; Saibal Mukhopadhyay (IJCNN, 2022)

Unsupervised Hebbian Learning on Point Sets in StarCraft II. - Beomseok Kang; Harshit Kumar; Saurabh Dash; Saibal Mukhopadhyay (IJCNN, 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)

Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. - Biswadeep Chakraborty; Uday Kamal; Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (DATE, 2023)

Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. - Uday Kamal; Saurabh Dash; Saibal Mukhopadhyay (ICLR, 2023)

Intriguing Properties of Quantization at Scale. - Arash Ahmadian; Saurabh Dash; Hongyu Chen 008; Bharat Venkitesh; Stephen Zhen Gou; Phil Blunsom; Ahmet Üstün; Sara Hooker (NeurIPS, 2023)

Intriguing Properties of Quantization at Scale. - Arash Ahmadian; Saurabh Dash; Hongyu Chen 008; Bharat Venkitesh; Stephen Gou; Phil Blunsom; Ahmet Üstün; Sara Hooker (CoRR, 2023)

How Does Quantization Affect Multilingual LLMs? - Kelly Marchisio; Saurabh Dash; Hongyu Chen 008; Dennis Aumiller; Ahmet Üstün; Sara Hooker; Sebastian Ruder (EMNLP (Findings), 2024)

Aya 23: Open Weight Releases to Further Multilingual Progress. - 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; et al. (CoRR, 2024)

Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. - Davide Paglieri; Saurabh Dash; Tim Rocktäschel; Jack Parker-Holder (CoRR, 2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Aya Vision: Advancing the Frontier of Multilingual Multimodality. - Saurabh Dash; Yiyang Nan; John Dang; Arash Ahmadian; Shivalika Singh; Madeline Smith; Bharat Venkitesh; Vlad Shmyhlo; Viraat Aryabumi; Walter Beller-Morales; Jeremy Pekmez; Jason Ozuzu; et al. (CoRR, 2025)