Low Power Image Acquisition Scheme Using On-Pixel Event Driven Halftoning. - Sangamesh Kodge; Himanshu Chaudhary; Mrigank Sharad (ISVLSI, 2017)

Digitally assisted analog processing unit for MPG based wearable device. - Himanshu Chaudhary; Sangamesh Kodge; Mrigank Sharad (MWSCAS, 2017)

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2020)

Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (CoRR, 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 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 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 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

BERMo: What can BERT learn from ELMo? - Sangamesh Kodge; Kaushik Roy 001 (CoRR, 2021)

Low Precision Decentralized Distributed Training with Heterogeneous Data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (CoRR, 2021)

Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (CoRR, 2022)

Low precision decentralized distributed training over IID and non-IID data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (Neural Networks, 2022)

Intra-Class Mixup for Out-of-Distribution Detection. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (IEEE Access, 2023)

Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. - Sangamesh Kodge; Gobinda Saha; Kaushik Roy 001 (CoRR, 2023)

Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2023)

TREND: Transferability-Based Robust ENsemble Design. - Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy 001 (IEEE Trans. Artif. Intell., 2023)

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. - Sangamesh Kodge; Deepak Ravikumar; Gobinda Saha; Kaushik Roy 001 (CoRR, 2024)

Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. - Sangamesh Kodge; Gobinda Saha; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. - Sangamesh Kodge; Deepak Ravikumar; Gobinda Saha; Kaushik Roy 001 (AAAI, 2025)