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ORCIDKaushik Roy 0001
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Kaushik Roy — disambiguation page
- Kaushik Roy 0002 — Concordia University, Institute for Information Systems Engineering, Montreal, QC, CA
- Kaushik Roy 0003
![[0000-0002-9026-5322]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9026-5322")
— North Carolina State University, Raleigh, NC, USA - Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008 — Sungkyunkwan University, MOPIC, R&B Center, Suwon-si, South Korea (and 1 more)
- Kaushik Roy 0009 — University of South Carolina, Department of computer science, AI Institute, Columbia, SC, USA
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2020 – today
- 2024
[j278]Manish Nagaraj, Isha Garg, Kaushik Roy:
TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data. IEEE Access 12: 57209-57224 (2024)- [j277]Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy:
Toward Visual Syntactical Understanding. IEEE Access 12: 64360-64375 (2024) - [j276]Lei Deng, Huajin Tang, Kaushik Roy:
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II. Frontiers Comput. Neurosci. 18 (2024) - [j275]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): 251-264 (2024) - [j274]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE 112(6): 544-584 (2024) - [j273]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): 2080-2087 (2024) - [j272]Amitangshu Mukherjee, Isha Garg, Kaushik Roy:
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. IEEE Trans. Artif. Intell. 5(2): 827-838 (2024) - [j271]Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy:
Continual Learning: A Review of Techniques, Challenges, and Future Directions. IEEE Trans. Artif. Intell. 5(6): 2526-2546 (2024) - [j270]Guoqi Li, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy:
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. IEEE Trans. Cogn. Dev. Syst. 16(5): 1623-1625 (2024) - [j269]Buddhi Wickramasinghe, Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Wachirawit Ponghiran, Kaushik Roy:
Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where. IEEE Trans. Cogn. Dev. Syst. 16(5): 1648-1663 (2024) - [j268]Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy:
Toward Two-Stream Foveation-Based Active Vision Learning. IEEE Trans. Cogn. Dev. Syst. 16(5): 1843-1860 (2024) - [j267]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): 35-47 (2024) - [j266]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j265]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (2024) - [j264]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) - [j263]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Trans. Mach. Learn. Res. 2024 (2024) - [c516]Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan:
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. DAC 2024: 336:1-336:6 - [c515]Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy:
Unearthing the Potential of Spiking Neural Networks. DATE 2024: 1-6 - [c514]Kang He, Yinghan Long, Kaushik Roy:
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. EMNLP (Findings) 2024: 12673-12691 - [c513]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. EMNLP (Findings) 2024: 15332-15344 - [c512]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. Tiny Papers @ ICLR 2024 - [c511]Isha Garg, Deepak Ravikumar, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. ICML 2024 - [c510]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. ICML 2024 - [c509]Nirmoy Modak, Kaushik Roy:
Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. ISLPED 2024: 1-6 - [c508]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. WACV 2024: 12-21 - [c507]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: 5952-5962 - [i169]Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy:
Towards Visual Syntactical Understanding. CoRR abs/2401.17497 (2024) - [i168]Chun Tao, Timur Ibrayev, Kaushik Roy:
Towards Image Semantics and Syntax Sequence Learning. CoRR abs/2401.17515 (2024) - [i167]Kang He, Yinghan Long, Kaushik Roy:
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. CoRR abs/2402.10353 (2024) - [i166]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR abs/2402.18726 (2024) - [i165]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. CoRR abs/2403.03292 (2024) - [i164]Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy:
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. CoRR abs/2403.08618 (2024) - [i163]Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy:
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR abs/2403.13082 (2024) - [i162]Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy:
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. CoRR abs/2403.13577 (2024) - [i161]Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan:
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. CoRR abs/2403.15717 (2024) - [i160]Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy:
Towards Two-Stream Foveation-based Active Vision Learning. CoRR abs/2403.15977 (2024) - [i159]Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy:
On Inherent Adversarial Robustness of Active Vision Systems. CoRR abs/2404.00185 (2024) - [i158]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR abs/2404.05919 (2024) - [i157]Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Chandru P. Sundaram, Kaushik Roy:
ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy. CoRR abs/2405.02571 (2024) - [i156]Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy:
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. CoRR abs/2405.13961 (2024) - [i155]Marco Paul E. Apolinario, Arani Roy, Kaushik Roy:
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. CoRR abs/2405.15868 (2024) - [i154]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 abs/2406.14706 (2024) - [i153]Amogh Joshi, Sourav Sanyal, Kaushik Roy:
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor. CoRR abs/2407.00931 (2024) - [i152]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 abs/2407.02353 (2024) - [i151]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. CoRR abs/2407.02713 (2024) - [i150]Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy:
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. CoRR abs/2407.02747 (2024) - [i149]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. CoRR abs/2408.05646 (2024) - [i148]Arjun Roy, Kaushik Roy:
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain. CoRR abs/2408.15231 (2024) - [i147]Amogh Joshi, Adarsh Kumar Kosta, Kaushik Roy:
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning. CoRR abs/2409.09990 (2024) - [i146]Sourav Sanyal, Kaushik Roy:
ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions. CoRR abs/2409.10283 (2024) - [i145]Jimmy Gammell, Anand Raghunathan, Kaushik Roy:
Power side-channel leakage localization through adversarial training of deep neural networks. CoRR abs/2410.22425 (2024) - 2023
- [j262]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11: 25968-25981 (2023) - [j261]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): 243:1-243:49 (2023) - [j260]Gobinda Saha, Kaushik Roy:
Online continual learning with saliency-guided experience replay using tiny episodic memory. Mach. Vis. Appl. 34(4): 65 (2023) - [j259]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4(3): 534-548 (2023) - [j258]Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy:
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator. IEEE Trans. Computers 72(9): 2615-2627 (2023) - [j257]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) - [j256]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): 3174-3182 (2023) - [j255]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): 1223-1233 (2023) - [c506]Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. AAAI 2023: 9677-9685 - [c505]Utkarsh Saxena, Kaushik Roy:
McQueen: Mixed Precision Quantization of Early Exit Networks. BMVC 2023: 511-513 - [c504]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: 1-2 - [c503]Arjun Roy, Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks. CVPR Workshops 2023: 4081-4082 - [c502]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: 4148-4149 - [c501]Isha Garg, Kaushik Roy:
Samples with Low Loss Curvature Improve Data Efficiency. CVPR 2023: 20290-20300 - [c500]Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Lightning Talk: A Perspective on Neuromorphic Computing. DAC 2023: 1-2 - [c499]Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy:
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. EMNLP (Findings) 2023: 8325-8337 - [c498]Timur Ibrayev, Manish Nagaraj, Amitangshu Mukherjee, Kaushik Roy:
Exploring Foveation and Saccade for Improved Weakly-Supervised Localization. Gaze Meets ML 2023: 61-89 - [c497]Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. ICCV 2023: 9793-9802 - [c496]Sourav Sanyal, Kaushik Roy:
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. ICRA 2023: 1019-1025 - [c495]Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. ICRA 2023: 4858-4864 - [c494]Adarsh Kumar Kosta, Kaushik Roy:
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. ICRA 2023: 6021-6027 - [c493]Chamika Mihiranga Liyanagedera, Manish Nagaraj, Wachirawit Ponghiran, Kaushik Roy:
Low-Power Real-Time Sequential Processing with Spiking Neural Networks. ISCAS 2023: 1-5 - [c492]Utkarsh Saxena, Kaushik Roy:
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. ISLPED 2023: 1-6 - [c491]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS 2023 - [c490]Gobinda Saha, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. WACV 2023: 5262-5272 - [i144]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 Yunus Çamsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto:
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i143]Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. CoRR abs/2302.01386 (2023) - [i142]Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan:
X-Former: In-Memory Acceleration of Transformers. CoRR abs/2303.07470 (2023) - [i141]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR abs/2303.15378 (2023) - [i140]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR abs/2304.04326 (2023) - [i139]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR abs/2305.04792 (2023) - [i138]Amogh Joshi, Adarsh Kosta, Wachirawit Ponghiran, Manish Nagaraj, Kaushik Roy:
FEDORA: Flying Event Dataset fOr Reactive behAvior. CoRR abs/2305.14392 (2023) - [i137]Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy:
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. CoRR abs/2305.16340 (2023) - [i136]Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. CoRR abs/2306.02960 (2023) - [i135]Marco Paul E. Apolinario, Kaushik Roy:
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. CoRR abs/2306.15220 (2023) - [i134]Isha Garg, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. CoRR abs/2307.05831 (2023) - [i133]Sourav Sanyal, Rohan Kumar Manna, Kaushik Roy:
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner. CoRR abs/2307.11349 (2023) - [i132]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. CoRR abs/2310.15890 (2023) - [i131]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR abs/2312.00761 (2023) - [i130]Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy:
WWW: What, When, Where to Compute-in-Memory. CoRR abs/2312.15896 (2023) - 2022
- [j254]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) - [j253]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low precision decentralized distributed training over IID and non-IID data. Neural Networks 155: 451-460 (2022) - [j252]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): 5408-5420 (2022) - [j251]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): 1448-1460 (2022) - [j250]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): 1615-1630 (2022) - [c489]Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. AAAI 2022: 6838-6846 - [c488]Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. AAAI 2022: 8001-8008 - [c487]Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan:
Efficiency attacks on spiking neural networks. DAC 2022: 373-378 - [c486]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: neural architecture and memristive xbar based accelerator co-design. DAC 2022: 451-456 - [c485]Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy:
A cross-layer approach to cognitive computing: invited. DAC 2022: 1327-1330 - [c484]Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy:
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. DATE 2022: 88-91 - [c483]Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy:
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE 2022: 624-627 - [c482]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: 709-726 - [c481]Kaushik Roy:
In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI 2022: 203-204 - [c480]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: 91:1-91:9 - [c479]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: 6504-6510 - [c478]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: 7492-7498 - [c477]Deepika Sharma, Aayush Ankit, Kaushik Roy:
Identifying Efficient Dataflows for Spiking Neural Networks. ISLPED 2022: 2:1-2:6 - [p4]Sourav Sanyal, Shubham Negi, Anand Raghunathan, Kaushik Roy:
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspective. Approximate Computing 2022: 365-395 - [i129]Isha Garg, Manish Nagaraj, Kaushik Roy:
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. CoRR abs/2201.08494 (2022) - [i128]