Roy, Kaushik

52 publications

TMLR 2026 Achieving Global Flatness in Decentralized Learning with Heterogeneous Data Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy

TMLR 2025 Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning Gobinda Saha, Kaushik Roy

ICCV 2025 CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning Marco P. E. Apolinario, Sakshi Choudhary, Kaushik Roy

NeurIPS 2025 CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models Shristi Das Biswas, Arani Roy, Kaushik Roy

TMLR 2025 Coresets from Trajectories: Selecting Data via Correlation of Loss Differences Manish Nagaraj, Deepak Ravikumar, Kaushik Roy

ICLR 2025 DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy, Kaushik Roy

CVPRW 2025 Improved Out-of-Distribution Detection with Additive Angular Margin Loss Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

WACV 2025 LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization Marco P. E. Apolinario, Arani Roy, Kaushik Roy

TMLR 2025 On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy

AAAI 2025 PIXELS: Progressive Image Xemplar-Based Editing with Latent Surgery Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy

ICML 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

ICLRW 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

TMLR 2025 S-TLLR: STDP-Inspired Temporal Local Learning Rule for Spiking Neural Networks Marco Paul E. Apolinario, Kaushik Roy

WACV 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy

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

TMLR 2025 Semantic-Syntactic Discrepancy in Images (SSDI): Learning Meaning and Order of Features from Natural Images Chun Tao, Timur Ibrayev, Kaushik Roy

TMLR 2025 TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks Prajna G. Malettira, Shubham Negi, Wachirawit Ponghiran, Kaushik Roy

ICML 2025 Towards Memorization Estimation: Fast, Formal and Free Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

TMLR 2024 CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy

WACV 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data Sai Aparna Aketi, Kaushik Roy

NeurIPS 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

TMLR 2024 DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy

TMLR 2024 Deep Unlearning: Fast and Efficient Gradient-Free Class Forgetting Sangamesh Kodge, Gobinda Saha, Kaushik Roy

AAAI 2024 GEAR-up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth

WACV 2024 HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities Shristi Das Biswas, Adarsh Kosta, Chamika Liyanagedera, Marco Apolinario, Kaushik Roy

ECML-PKDD 2024 Hi Model, Generating "nice" Instead of "good" Is Not as Bad as Generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya

TMLR 2024 Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy

ICML 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples Isha Garg, Deepak Ravikumar, Kaushik Roy

NeurIPS 2024 OPEL: Optimal Transport Guided ProcedurE Learning Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy

ICML 2024 Unveiling Privacy, Memorization, and Input Curvature Links Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

AAAI 2023 Continual Learning with Scaled Gradient Projection Gobinda Saha, Kaushik Roy

AAAI 2023 Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth

ICCV 2023 Event-Based Temporally Dense Optical Flow Estimation with Sequential Learning Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy

NeurIPSW 2023 Exploring Foveation and Saccade for Improved Weakly-Supervised Localization Timur Ibrayev, Manish Nagaraj, Amitangshu Mukherjee, Kaushik Roy

NeurIPS 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy

CVPRW 2023 Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-Based Real-Time Gesture Recognition and Optical Flow Estimation Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy

CVPRW 2023 Live Demonstration: Real-Time Event-Based Speed Detection Using Spiking Neural Networks Arjun Roy, Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy

ICMLW 2023 Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

TMLR 2023 Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

WACV 2023 Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha, Kaushik Roy

CVPR 2023 Samples with Low Loss Curvature Improve Data Efficiency Isha Garg, Kaushik Roy

AAAI 2022 Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han, Cheng Wang, Kaushik Roy

AAAI 2022 Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran, Kaushik Roy

NeurIPSW 2022 TDLR: Top Semantic-Down Syntactic Language Representation Vipula Rawte, Megha Chakraborty, Kaushik Roy, Manas Gaur, Keyur Faldu, Prashant Kikani, Hemang Akbari, Amit P. Sheth

ECCV 2022 Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy

ICCV 2021 DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy

ICLR 2021 Gradient Projection Memory for Continual Learning Gobinda Saha, Isha Garg, Kaushik Roy

ECML-PKDD 2021 Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

ECCV 2020 Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding Bing Han, Kaushik Roy

ICLR 2020 Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

ECCV 2020 Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy

ECCV 2020 Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy