Kaushik Roy

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 340

Top Venues

CoRR

DATE

IEEE Trans. Very Large Scale Integr. Syst.

IJCNN

Publications

Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Trans. Mach. Learn. Res. 2024 (2024)
Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024)
Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy
Towards Visual Syntactical Understanding. CoRR (2024)
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6 (3) (2024)
Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. CoRR (2024)
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR (2024)
Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR (2024)
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Kang He, Yinghan Long, Kaushik Roy
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. CoRR (2024)
Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy
Toward Visual Syntactical Understanding. IEEE Access 12 (2024)
Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy
Unearthing the Potential of Spiking Neural Networks. DATE (2024)
Sai Aparna Aketi, Kaushik Roy
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. WACV (2024)
Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. CoRR (2024)
Sourav Sanyal, Rohan Kumar Manna, Kaushik Roy
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner. IEEE Robotics Autom. Lett. 9 (3) (2024)
Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy
Continual Learning: A Review of Techniques, Challenges, and Future Directions. IEEE Trans. Artif. Intell. 5 (6) (2024)
Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR (2024)
Manish Nagaraj, Isha Garg, Kaushik Roy
TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data. IEEE Access 12 (2024)
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. Trans. Mach. Learn. Res. 2024 (2024)
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. CoRR (2024)
Marco Paul E. Apolinario, Arani Roy, Kaushik Roy
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. CoRR (2024)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR (2024)
Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy
Towards Two-Stream Foveation-based Active Vision Learning. CoRR (2024)
Chun Tao, Timur Ibrayev, Kaushik Roy
Towards Image Semantics and Syntax Sequence Learning. CoRR (2024)
Amogh Joshi, Sourav Sanyal, Kaushik Roy
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor. CoRR (2024)
Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. CoRR (2024)
Amitangshu Mukherjee, Isha Garg, Kaushik Roy
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. IEEE Trans. Artif. Intell. 5 (2) (2024)
Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Chandru P. Sundaram, Kaushik Roy
ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy. CoRR (2024)
Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. WACV (2024)
Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. Tiny Papers @ ICLR (2024)
Sangamesh Kodge, Gobinda Saha, Kaushik Roy
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (2024)
Jeffry Victor, Dong Eun Kim, Chunguang Wang, Kaushik Roy, Sumeet Gupta
SWANN: Shuffling Weights in Crossbar Arrays for Enhanced DNN Accuracy in Deeply Scaled Technologies. CoRR (2024)
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. CoRR (2024)
Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. CoRR (2024)
Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy
On Inherent Adversarial Robustness of Active Vision Systems. CoRR (2024)
Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. CoRR (2024)
Isha Garg, Kaushik Roy
Samples with Low Loss Curvature Improve Data Efficiency. CVPR (2023)
Gobinda Saha, Kaushik Roy
Continual Learning with Scaled Gradient Projection. CoRR (2023)
Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. ICCV (2023)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4 (3) (2023)
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. CoRR (2023)
Adarsh Kumar Kosta, Kaushik Roy
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. ICRA (2023)
Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. EMNLP (Findings) (2023)
Sangamesh Kodge, Gobinda Saha, Kaushik Roy
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR (2023)
Gobinda Saha, Kaushik Roy
Online continual learning with saliency-guided experience replay using tiny episodic memory. Mach. Vis. Appl. 34 (4) (2023)
Utkarsh Saxena, Kaushik Roy
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. ISLPED (2023)
Sourav Sanyal, Kaushik Roy
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. ICRA (2023)
Gobinda Saha, Kaushik Roy
Saliency Guided Experience Packing for Replay in Continual Learning. WACV (2023)
Chamika Mihiranga Liyanagedera, Manish Nagaraj, Wachirawit Ponghiran, Kaushik Roy
Low-Power Real-Time Sequential Processing with Spiking Neural Networks. ISCAS (2023)
Utkarsh Saxena, Kaushik Roy
McQueen: Mixed Precision Quantization of Early Exit Networks. BMVC (2023)
Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR (2023)
Nitin Rathi, Kaushik Roy
DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. CICC (2023)
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
X-Former: In-Memory Acceleration of Transformers. IEEE Trans. Very Large Scale Integr. Syst. 31 (8) (2023)
Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy
Lightning Talk: A Perspective on Neuromorphic Computing. DAC (2023)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11 (2023)
Sai Aparna Aketi, Kaushik Roy
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. CoRR (2023)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS (2023)
Timur Ibrayev, Manish Nagaraj, Amitangshu Mukherjee, Kaushik Roy
Exploring Foveation and Saccade for Improved Weakly-Supervised Localization. Gaze Meets ML (2023)
Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme Temporão, Kremena Makasheva, Aida Tordi-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Evershor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto
Roadmap for Unconventional Computing with Nanotechnology. CoRR (2023)
Amogh Joshi, Adarsh Kosta, Wachirawit Ponghiran, Manish Nagaraj, Kaushik Roy
FEDORA: Flying Event Dataset fOr Reactive behAvior. CoRR (2023)
Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy
WWW: What, When, Where to Compute-in-Memory. CoRR (2023)
Marco Paul E. Apolinario, Kaushik Roy
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. CoRR (2023)
Gobinda Saha, Kaushik Roy
Continual Learning with Scaled Gradient Projection. AAAI (2023)
Sourav Sanyal, Rohan Kumar Manna, Kaushik Roy
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner. CoRR (2023)
Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. ICRA (2023)
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55 (12) (2023)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR (2023)
Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator. IEEE Trans. Computers 72 (9) (2023)
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR (2023)
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
X-Former: In-Memory Acceleration of Transformers. CoRR (2023)
Isha Garg, Kaushik Roy
Memorization Through the Lens of Curvature of Loss Function Around Samples. CoRR (2023)
Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy
Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation. CVPR Workshops (2023)
Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. CoRR (2023)
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. Trans. Mach. Learn. Res. 2023 (2023)
Arjun Roy, Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy
Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks. CVPR Workshops (2023)
Isha Garg, Manish Nagaraj, Kaushik Roy
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. CoRR (2022)
Wachirawit Ponghiran, Kaushik Roy
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. AAAI (2022)
Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan
Efficiency attacks on spiking neural networks. DAC (2022)
Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. CoRR (2022)
Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy
A cross-layer approach to cognitive computing: invited. DAC (2022)
Adarsh Kumar Kosta, Kaushik Roy
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. CoRR (2022)
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks. CoRR (2022)
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. ICRA (2022)
Sourav Sanyal, Kaushik Roy
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. CoRR (2022)
Deepika Sharma, Aayush Ankit, Kaushik Roy
Identifying Efficient Dataflows for Spiking Neural Networks. ISLPED (2022)
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
Low precision decentralized distributed training over IID and non-IID data. Neural Networks 155 (2022)
Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. CoRR (2022)
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. ICRA (2022)
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. CoRR (2022)
Sandip Mondal, Zhen Zhang, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate, Kaushik Roy, Shriram Ramanathan
All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst. 4 (10) (2022)
Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy
Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks. CoRR (2022)
Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy
Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. ICCAD (2022)
Sourav Sanyal, Kaushik Roy
Neuro-Ising: Accelerating Large-Scale Traveling Salesman Problems via Graph Neural Network Guided Localized Ising Solvers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning. ECCV (11) (2022)
Deepak Ravikumar, Kaushik Roy
Norm-Scaling for Out-of-Distribution Detection. CoRR (2022)
Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta M. Phatak, Cheng Wang, Supratik Guha
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks. CoRR (2022)
Chun Tao, Deboleena Roy, Indranil Chakraborty, Kaushik Roy
On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 30 (10) (2022)
Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE (2022)
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
NAX: neural architecture and memristive xbar based accelerator co-design. DAC (2022)
Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Trans. Very Large Scale Integr. Syst. 30 (11) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kaushik Roy