Sangamesh Kodge

According to our database, Sangamesh Kodge authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Late Breaking Results: Input Loss Curvature as a Predictor of Sample Vulnerability to Hardware-Noise.

Deepika Sharma, Deepak Ravikumar, Chih-Hsing Ho, Sangamesh Kodge, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness.

Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting.

Sangamesh Kodge, Gobinda Saha, Kaushik Roy

Trans. Mach. Learn. Res., 2024

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples.

Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy

CoRR, 2024

2023

TREND: Transferability-Based Robust ENsemble Design.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

IEEE Trans. Artif. Intell., June, 2023

Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

Trans. Mach. Learn. Res., 2023

Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting.

Sangamesh Kodge, Gobinda Saha, Kaushik Roy

CoRR, 2023

Intra-Class Mixup for Out-of-Distribution Detection.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

IEEE Access, 2023

2022

Low precision decentralized distributed training over IID and non-IID data.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

Neural Networks, 2022

Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

CoRR, 2022

2021

Low Precision Decentralized Distributed Training with Heterogeneous Data.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

CoRR, 2021

BERMo: What can BERT learn from ELMo?

Sangamesh Kodge, Kaushik Roy

CoRR, 2021

2020

IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array.

Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays".

Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays.

Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

CoRR, 2020

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array.

Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

CoRR, 2020

2017

Digitally assisted analog processing unit for MPG based wearable device.

Himanshu Chaudhary, Sangamesh Kodge, Mrigank Sharad

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Low Power Image Acquisition Scheme Using On-Pixel Event Driven Halftoning.

Sangamesh Kodge, Himanshu Chaudhary, Mrigank Sharad

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017