Anand Raghunathan - CatalyzeX

Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Anand Raghunathan

Adversarial Sparsity Attacks on Deep Neural Networks

Jun 18, 2020
Sarada Krithivasan, Sanchari Sen, Anand Raghunathan

Access Model/Code and Paper

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Apr 21, 2020
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan

* Published as a conference paper at ICLR 2020

Access Model/Code and Paper

Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks

Mar 05, 2020
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan

Access Model/Code and Paper

TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems

Feb 25, 2020
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan

Access Model/Code and Paper

Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks

Feb 23, 2020
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy

* 10 pages, 6 figures, 5 tables

Access Model/Code and Paper

TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks

Sep 30, 2019
Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan

Access Model/Code and Paper

TiM-DNN: Ternary in Memory accelerator for Deep Neural Networks

Sep 15, 2019
Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan

Access Model/Code and Paper

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing

Oct 01, 2018
Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan

Access Model/Code and Paper

Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars

Aug 31, 2018
Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan

Access Model/Code and Paper

SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks

Nov 29, 2017
Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan

Access Model/Code and Paper

DyVEDeep: Dynamic Variable Effort Deep Neural Networks

Apr 04, 2017
Sanjay Ganapathy, Swagath Venkataramani, Balaraman Ravindran, Anand Raghunathan

Access Model/Code and Paper

Energy-Efficient Object Detection using Semantic Decomposition

Sep 20, 2016
Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy

* 10 pages, 13 figures, 3 algorithms, Submitted to IEEE TVLSI(Under Review)

Access Model/Code and Paper

Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing

Feb 27, 2016
Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy

* In Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016, pp. 145-150
* Accepted in Design, Automation and Test in Europe 2016 conference (DATE-2016)

Access Model/Code and Paper