Chandramouli Amarnath

Joined

February 2022

Names

Chandramouli Amarnath (Preferred)

Chandramouli N. Amarnath

Emails

****@gatech.edu (Confirmed)

Personal Links

DBLP

Career & Education History

PhD student

Electrical and Computer Engineering, Georgia Institute of Technology (gatech.edu)

2018 – 2024

Undergrad student

Electrical Engineering, National Institute of Technology Karnataka (nitk.edu.in)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Abhijit Chatterjee

2018 – Present

Expertise

No areas of expertise listed

Publications

RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
Mohamed Mejri, Chandramouli Amarnath, Abhijit Chatterjee
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Error Resilience in Deep Neural Networks Using Neuron Gradient Statistics
Chandramouli N. Amarnath, Mohamed Mejri, Kwondo Ma, Abhijit Chatterjee
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2024
- Readers: Everyone
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules
Mohamed Mejri, Chandramouli N. Amarnath, Abhijit Chatterjee
- CoRR 2024
- Readers: Everyone
Signature Driven Post-Manufacture Testing and Tuning of RRAM Spiking Neural Networks for Yield Recovery
Anurup Saha, Chandramouli N. Amarnath, Kwondo Ma, Abhijit Chatterjee
- ASPDAC 2024
- Readers: Everyone
DeepER-HD: An Error Resilient HyperDimensional Computing Framework with DNN Front-End for Feature Selection
Mohamed Mejri, Chandramouli N. Amarnath, Abhijit Chatterjee
- LATS 2024
- Readers: Everyone
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
Mohamed Mejri, Chandramouli N. Amarnath, Abhijit Chatterjee
- CoRR 2024
- Readers: Everyone
Efficient Optimized Testing of Resistive RAM Based Convolutional Neural Networks
Anurup Saha, Kwondo Ma, Chandramouli N. Amarnath, Abhijit Chatterjee
- IOLTS 2024
- Readers: Everyone
AMS Test Stimulus Generation and Response Analysis Using Hyperdimensional Clustering: Minimizing Misclassification Rate
Suhasini Komarraju, Mohamed Mejri, Akhil Tammana, Gowsika Dharmaraj, Chandramouli N. Amarnath, Abhijit Chatterjee
- ETS 2024
- Readers: Everyone
Post-Manufacture Criticality-Aware Gain Tuning of Timing Encoded Spiking Neural Networks for Yield Recovery
Anurup Saha, Kwondo Ma, Chandramouli N. Amarnath, Abhijit Chatterjee
- ETS 2024
- Readers: Everyone
Learning Assisted Post-Manufacture Testing and Tuning of RRAM-Based DNNs for Yield Recovery
Kwondo Ma, Anurup Saha, Chandramouli N. Amarnath, Abhijit Chatterjee
- DATE 2024
- Readers: Everyone

View all 26 publications