All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. - Indranil Chakraborty; Gobinda Saha; Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2018)

Photonic Spiking Neural Networks - From Devices to Systems. - Indranil Chakraborty; Gobinda Saha; Kaushik Roy 001 (CoRR, 2018)

An Energy-Efficient and High Throughput in-Memory Computing Bit-Cell With Excellent Robustness Under Process Variations for Binary Neural Network. - Gobinda Saha; Zhewei Jiang; Sanjay Parihar; Xi Cao; Jack M. Higman; Muhammed Ahosan Ul Karim (IEEE Access, 2020)

Structured Compression and Sharing of Representational Space for Continual Learning. - Gobinda Saha; Isha Garg; Aayush Ankit; Kaushik Roy 001 (CoRR, 2020)

Gradient Projection Memory for Continual Learning. - Gobinda Saha; Isha Garg; Kaushik Roy 001 (ICLR, 2021)

SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. - Gobinda Saha; Isha Garg; Aayush Ankit; Kaushik Roy 001 (IEEE Access, 2021)

A cross-layer approach to cognitive computing: invited. - Gobinda Saha; Cheng Wang 036; Anand Raghunathan; Kaushik Roy 001 (DAC, 2022)

Continual Learning with Scaled Gradient Projection. - Gobinda Saha; Kaushik Roy 001 (AAAI, 2023)

Saliency Guided Experience Packing for Replay in Continual Learning. - Gobinda Saha; Kaushik Roy 001 (WACV, 2023)

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

Online continual learning with saliency-guided experience replay using tiny episodic memory. - Gobinda Saha; Kaushik Roy 001 (Mach. Vis. Appl., 2023)

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. - Utkarsh Saxena; Gobinda Saha; Sakshi Choudhary; Kaushik Roy 001 (EMNLP (Findings), 2024)

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

CoDeC: Communication-Efficient Decentralized Continual Learning. - Sakshi Choudhary; Sai Aparna Aketi; Gobinda Saha; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

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

Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. - Deepak Ravikumar; Gobinda Saha; Sai Aparna Aketi; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

Continual Learning: A Review of Techniques, Challenges, and Future Directions. - Buddhi Wickramasinghe; Gobinda Saha; Kaushik Roy 001 (IEEE Trans. Artif. Intell., 2024)

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

Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning. - Gobinda Saha; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2025)