Publications
2024
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LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning
N. Rathi, K. Roy
IEEE Transactions on Cognitive and Developmental Systems, 2024 -
Towards Two-Stream Foveation-based Active Vision Learning
T. Ibrayev, A. Mukherjee, S.A. Aketi, K. Roy
IEEE Transactions on Cognitive and Developmental Systems, 2024 -
Exploring Foveation and Saccade for Improved Weakly-Supervised Localization
T. Ibrayev, M. Nagaraj, A. Mukherjee, K. Roy
Gaze Meets Machine Learning Workshop, PMLR, 2024 -
Towards Visual Syntactical Understanding
S. Chowdhury, S. Chandra, K. Roy
IEEE Access, 2024 -
Deep unlearning: Fast and efficient gradient-free class forgetting
S. Kodge, G. Saha, G.K. Roy
Transactions on Machine Learning Research (TMLR), 2024 -
Halsie: Hybrid approach to learning segmentation by simultaneously exploiting image and event modalities
S. Biswas, A. Kosta, C. Liyanagedera, M. Apolinario, K. Roy
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 -
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner
S. Sanyal, R. Manna, K. Roy
IEEE Robotics and Automation Letters, 2024 -
Global update tracking: A decentralized learning algorithm for heterogeneous data
S.A. Aketi, A. Hashemi, K. Roy
Advances in neural information processing systems 36, 2024 -
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
S.A. Aketi, K. Roy
IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
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Online continual learning with saliency-guided experience replay using tiny episodic memory
G. Saha, K. Roy
Machine Vision and Applications, 2023 -
Continual learning with scaled gradient projection
G. Saha, K. Roy
AAAI Conference on Artificial Intelligence, 2023 -
Dotie-detecting objects through temporal isolation of events using a spiking architecture
M. Nagaraj, C. Liyanagedera, K. Roy
IEEE International Conference on Robotics and Automation (ICRA), 2023 -
Adaptive-spikenet: event-based optical flow estimation using spiking neural networks with learnable neuronal dynamics
A. Kosta, K. Roy
IEEE International Conference on Robotics and Automation (ICRA), 2023 -
Event-based temporally dense optical flow estimation with sequential learning
W. Ponghiran, C. Liyanagedera, K. Roy
IEEE/CVF International Conference on Computer Vision, 2023 -
Ramp-net: A robust adaptive mpc for quadrotors via physics-informed neural network
S. Sanyal, K. Roy
IEEE International Conference on Robotics and Automation (ICRA), 2023 -
TOPS/W adaptive-SNR sparsity-aware CIM core with load balancing support for DL workloads
M. Ali, I, Chakraborty, S. Choudhary, M. Chang, D.E. Kim, A. Raychowdhury, K. Roy
IEEE Custom Integrated Circuits Conference (CICC), 2023 -
Intra-class mixup for out-of-distribution detection
D. Ravikumar, S. Kodge, I. Garg, K. Roy
IEEE Access 11, 2023 -
Neighborhood gradient mean: An efficient decentralized learning method for non-iid data
S.A. Aketi, S. Kodge, K. Roy
Transactions on Machine Learning Research, 2023 -
Samples with low loss curvature improve data efficiency
I. Garg, K. Roy
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 -
McQueen: Mixed Precision Quantization of Early Exit Networks
U. Saxena, K. Roy
BMVC, 2023
2022
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Spiking neural networks with improved inherent recurrence dynamics for sequential learning
W. Ponghiran, K. Roy
AAAI Conference on Artificial Intelligence, 2022 -
Fusion-FlowNet: Energy-efficient optical flow estimation using sensor fusion and deep fused spiking-analog network architectures
C. Lee, A. Kosta, K. Roy
IEEE International Conference on Robotics and Automation (ICRA), 2022 -
Neuro-ising: Accelerating large-scale traveling salesman problems via graph neural network guided localized ising solvers
S. Sanyal, K. Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 2022 -
HyperX: A hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars
A. Kosta, E. Soufleri, I. Chakraborty, A. Agrawal, A. Ankit, K. Roy
IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022 -
Towards ADC-less compute-in-memory accelerators for energy efficient deep learning
U. Saxena, I. Chakraborty, K. Roy
IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022 -
TREND: Transferability-Based Robust ENsemble Design
D. Ravikumar, S. Kodge, I. Garg, K. Roy
IEEE Transactions on Artificial Intelligence 4, 2022
2021
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Dct-snn: Using dct to distribute spatial information over time for low-latency spiking neural networks
I. Garg, S. Chowdhury, K. Roy
IEEE/CVF International Conference on Computer Vision, 2021 -
Gradient Projection Memory for Continual Learning
G. Saha, I. Garg, K. Roy
International Conference on Learning Representations, 2021 -
Space: Structured compression and sharing of representational space for continual learning
G. Saha, I. Garg, A. Ankit, K. Roy
IEEE Access 9 (2021) -
Enabling robust SOT-MTJ crossbars for machine learning using sparsity-aware device-circuit co-design
T. Sharma, C. Wang, A. Agrawal, K. Roy
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2021 -
Spatio-temporal pruning and quantization for low-latency spiking neural networks
S. Chowdhury, I. Garg, K. Roy
IEEE International Joint Conference on Neural Networks (IJCNN), 2021
2020
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Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies
A. Agrawal, I. Chakraborty, D. Roy, U. Saxena, S. Sharmin, M. Koo, Y. Shim, G. Srinivasan, C. Liyanagedera, A. Sengupta, K. Roy
IEEE Transactions on Very Large Scale Integration (VLSI) Systems -
Functional Read Enabling In-Memory Computations in 1Transistor1Resistor Memory Arrays
A. Jaiswal, R. Andrawis, A. Agrawal, K. Roy
IEEE Transactions on Circuits and Systems II: Express Briefs, December 2020, pp. 3347 - 3351 -
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators
A. Ankit, I. Chakraborty, A. Agrawal, M. Ali, K. Roy
IEEE Micro, Nov-Dec 2020, pp 8-22 -
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
I. Chakraborty, M. Ali, A. Ankit, S. Jain, S. Roy, S. Sridharan, A. Agrawal, A. Raghunathan, K. Roy
Proceedings of IEEE, December 2020, pp. 2276 - 2310 -
A new oscillator coupling function for improving the solution of graph coloring problem
R. Andrawis, K. Roy
Physica D: Nonlinear Phenomena, November 2020 -
Gradual Channel Pruning while Training suing Feature Relevance Scores for Convolutional Neural Networks
A. Aketi, S. Roy, A. Raghunathan, K. Roy
IEEE ACCESS, September 2020 -
i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs
A. Jaiswal, A. Agrawal, M. Ali, S. Sharmin, K. Roy
IEEE Transactions on Circuits and Systems -
Neural Computing with Magnetoelectric Domain-Wall based Neuro-Synaptic Devices
A. Agrawal, A. Jaiswal, P. Panda, K. Roy
IEEE Transactions on Magnetics, 2020, Digital Object Identier -
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge
M. Koo, G. Srinivasan, K. Roy
IEEE Transactions on Circuits and Systems I: Regular Papers, 2020 -
Biologically Plausible Class Discrimination Based Recurrent Neural Network Training for Motor Pattern Generation
P. Wijesinghe, C. Liyanagendra, K. Roy
Frontiers in Neuroscience, 2020 -
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
P. Panda, S. Aketi, K. Roy
Frontiers in Neuroscience, 2020 -
Bayesian Multi-Objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
M. Parsa, J. Mitchell, C. Schuman, R. Patton, T. Potok, K. Roy
Frontiers in Neuroscience, 14, 667, 2020 -
IMAC: In-Memory Multi-Bit Multiplication and Accumulation in 6T SRAM Array
M. Ali, A. Jaiswal, S. Kodge, A. Agrawal, I. Chakraborty, K. Roy
IEEE Transactions on Circuits and Systems I: Regular Papers, 2020 -
PANTHER: A programmable architecture for neural network training harnessing energy-efficient ReRAM
A. Ankit, I. El Hajj, S. Agarwal, M. Marinella, M. Foltin, J. Strachan, D. S. Milojicic, W. Hwu, K. Roy
IEEE Transactions on Computer, 2020 -
RxNN: A framework for evaluating deep neural networks on resistive crossbars
S. Jain, I. Sengupta, K. Roy, A. Raghunathan
IEEE Transactions on Computer-Aided Design of ICs, 2020 -
Antiferroelectric Tunnel Junctions as Energy-Efficient Coupled Oscillators: Modeling, Analysis, and Application to Solving Combinatorial Optimization Problems
R. Andrawis, K. Roy
IEEE Transactions on Electron Devices, Issue 7, Vol. 67, 2020 -
Perovskite Neural Trees
H. Zhang, T. Park, I. Zaluzhnyy, Q. Wang, S. Wadekar, S. Manna, R. Andrawis, P. Sprau, Y. Sun, Z. Zhang, C. Huang, H. Zhou, Z. Zhang, B. Narayanan, G. Srinivasan, N. Hua, E. Nazaretski, X. Huang, H. Yan, M. Ge, Y. Chu, M. Cherukara, M. Holt, M. Krishnamurthy, O. Shpyrko, S. Sankaranarayanan, A. Frano, K. Roy, S. Ramanathan
Nature Communications, May 7, 2020 -
Pathways to Efficient Neuromorphic Computing with Non-Volatile Memory Technologies
I. Chakraborty, A. Jaiswal, A. Saha, S. Gupta, K. Roy
Applied Physics Reviews, Vol.7, Issue 2 -
Organismic materials for beyond von Neumann machines
H. Zhang, P. Panda, J. Lin, Y. Kalcheim, K. Wang, J. Freeland, D. Fong, S. Priya, I. Schuller, S. Sankaranarayanan, K. Roy, S. Ramanathan
Applied Physics Reviews, January 2020 -
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
J. Allred, K. Roy
Frontiers in Neuroscience, January 28, 2020 -
In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology
M. Ali, A. Jaiswal, K. Roy
IEEE Transactions on Circuits and Systems I: Regular Papers, January 2020 -
Constructing Energy-efficient Mixed-precision Neural Networks through Principle Component Analysis for Edge Intelligence
I. Chakraborty, D. Roy, I. Garg, A. Ankit, K. Roy
Nature: Machine Intelligence, January 2020
2019
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In-Situ Unsupervised Learning using Stochastic Switching in Magneto-Electric Magnetic Tunnel Junctions
I. Chakraborty, A. Agrawal, A. Jaiswal, G. Srinivasan, K. Roy
Philosophical Transactions of the Royal Society A, December 2019 -
A Low Effort Approach to Structured CNN Design Using PCA
I. Garg, P. Panda, K. Roy
IEEE ACCESS, December 2019 -
Neural Network Accelerator Design with Resistive Crossbars: Opportunities and Challenges
S. Jain, A. Ankit, I. Chakraborty, T. Gokmen, M. Rasch, W. Haensch, K. Roy, A. Raghunathan
IBM Journal of Research and Development, 10:1-10:13, Nov/Dec. 2019 -
Towards Spike-based Machine Intelligence with Neuromorphic Computing
K. Roy, A.Jaiswal, P. Panda
Nature, November 27, 2019 -
Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks
P. Panda, I. Chakraborty, K. Roy
IEEE Access, May 2019 -
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning
D. Roy, P. Panda, K. Roy
Neural Networks, September 2019 -
Dynamic Read Current Sensing with Amplified Bit-line Voltage for STT-MRAMs
M. Ali, R. Andrawis, K. Roy
IEEE Transactions on Circuits and Systems II: Express Briefs, 2019 -
Reinforcement Learning with Low-Complexity Liquid State Machines
W. Ponghiran, G. Srinivasan, K. Roy
Frontiers in Neuroscience, August 2019 -
Structured Learning for Action Recognition in Videos
Y. Long, G. Srinivasan, P. Panda, K. Roy
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, August 2019 -
Pathways to Efficient Neuromorphic Computing with Non-Volatile Technologies
I. Chakraborty, A. Jaiswal, A. Saha, S. Gupta, K. Roy
Applied Physics Review, July 2019 -
Perovskite Nickelates as Bio-electronic Interfaces
H. Zhang, F. Zuo, F. Li, H. Chan, Q. Wu, Z. Zhang, B. Narayanan, K. Ramadoss, I. Chakraborty, G. Saha, G. Kamath, K. Roy, H. Zhou, A. Chubykin, S. Sankaranarayanan, J. Choi, S. Ramanathan
Nature Communications -
Fast Switching in CoTb Based Ferrimagnetic Tunnel Junction
A. Reza, K. Roy
Journal of Applied Physics -
Dynamic Read Current Sensing with Amplified Bit-line Voltage for STT-MRAMs
M. Ali, R. Andrawis, K. Roy
IEEE Transactions on Circuits and Systems -
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays
A. Agrawal, A. Jaiswal, D. Roy, B. Han, G. Srinivasan, A. Ankit, K. Roy
IEEE Transactions on Circuits and Systems -
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems
A. Ankit, M. Koo, S. Sen, and K. Roy
IEEE Transactions on VLSI Systems -
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives
A. Agrawal, A. Ankit, K. Roy
IEEE Transactions on Computers -
Cache Memory Design with magnetic Skyrmions in a Long Nanotrack
M-C Chen, A. Ranjan, A. Raghunathan, K. Roy
IEEE Transactions on Magnetics -
Nonequilibrium Green's Function and First-principles Approach to Modeling of Multiferroic Tunnel Junctions
R. Andrawis, K. Roy
Physical Review Applied -
Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons
B. Chatterjee, P. Panda, S. Maity, A. Biswas, K. Roy, S. Sen
IEEE Transactions on Very Large Scale Integration (VLSI) Systems -
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
D. Roy, P. Panda, K. Roy
Frontiers in Neuroscience-Neuromorphic Engineering -
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
P. Panda, K. Roy
IEEE Access, Digital Object Identifier -
Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines
P. Wijesinghe, G. Srinivasan, P. Panda, K. Roy
Frontiers in Neuroscience-Neuromorphic Engineering, May 2019 -
Nonequilibrium Greens Function and First-Principles Approach to Modeling of Multiferroic Tunnel Junctions
R. Andrawis, K. Roy
Physical Review Applied 12, no. 1 (2019) -
Effect of Dzyaloshinskii-Moriya Interaction at Ferrimagnet and Heavy Metal Interface
A. Reza, K. Roy
IEEE Transactions on Electron Devices -
Mimicking Leaky-Integrate-Fire Spiking neuron Using Automotion of Domain Walls for Energy-Efficient Brain-Inspired Computing
A. Agrawal, K. Roy
IEEE Transactions on Magnetics -
Photonic In-memory Computing Primitive for Spiking Neural Networks using Phase-change Materials
I. Chakraborty, G. Saha, K. Roy
Physical Review Applied
2018
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Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency
Z. Al Azim, A. Jaiswal, I. Chakraborty, K. Roy
IEEE Magnetics Letters -
In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy
A. Jaiswal, A. Agrawal, K. Roy
Scientific reports 8 (1), 5738 -
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light
I. Chakraborty, G. Saha, A. Sengupta, K. Roy
arXiv preprint arXiv:1804.00267 -
Biased Random Walk Using Stochastic Switching of Nanomagnets: Application to SAT Solver
Y. Shim, A. Sengupta, K. Roy
IEEE Transactions on Electron Devices 65 (4), 1617-1624 -
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition
N. Rathi, P. Panda, K. Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems -
ELECTRONIC COMPARISON SYSTEMS
K. Roy, M. Sharad
US Patent App. 15/801,535 -
Stochastic Switching of Nanomagnets for Post-CMOS Computing
A. Sengupta, Y. Shim, K. Roy
Bulletin of the American Physical Society -
Multi-resistance states and neural learning with perovskite nickelates
F. Zuo, P. Panda, K. Roy, S. Ramanathan
Bulletin of the American Physical Society -
Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets
I. Chakraborty, A. Agrawal, K. Roy
arXiv preprint arXiv:1803.01431 -
1T Non-Volatile Memory Design Using Sub-10nm Ferroelectric FETs
A. Sharma, K. Roy
IEEE Electron Device Letters 39 (3), 359-362 -
Asp: Learning to forget with adaptive synaptic plasticity in spiking neural networks
P. Panda, J. M. Allred, S. Ramanathan, K. Roy
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 … -
8T SRAM cell as a multi-bit dot product engine for beyond von-Neumann computing
A. Jaiswal, I. Chakraborty, A. Agrawal, K. Roy
arXiv preprint arXiv:1802.08601 -
Optical Receiver with Helicity Dependent Switching of Magnetization
Z. A. Azim, T. A. Ostler, C. Xu, K. Roy
arXiv preprint arXiv:1803.07148 -
Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning
D. Roy, P. Panda, K. Roy
arXiv preprint arXiv:1802.05800 -
Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives
A. Sengupta, K. Roy
Applied Physics Express 11 (3), 030101 -
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
A. Sengupta, Y. Ye, R. Wang, C. Liu, K. Roy
arXiv preprint arXiv:1802.02627 -
VLSI Design of an ML-Based Power-Efficient Motion Estimation Controller for Intelligent Mobile Systems
J. H. Hsieh, H. R. Wang
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (2), 262-271 -
Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM
A. Raha, A. Jaiswal, S. S. Sarwar, H. Jayakumar, V. Raghunathan, K. Roy
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (2), 294-307 -
Adaptive accelerated aging for 28nm HKMG technology
D. Patra, A. K. Reza, M. K. Hassan, M. Katoozi, E. H. Cannon, K. Roy, Y. Cao
Microelectronics Reliability 80, 149-154 -
Development of a Generic and Configurable Fuzzy Logic Systems Library for Real-Time Control Applications using an Object-oriented Approach
A. Hailemchael, S. Gebreyohannes, A. Karimoddini, K. Roy, A. Homaifar
2018 Second IEEE International Conference on Robotic Computing (IRC), 159-164 -
STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Networks for Energy-Efficient Neuromorphic Computing
G. Srinivasan, P. Panda, K. Roy
ACM Journal on Emerging Technologies in Computing Systems -
X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories
A. Agrawal, A. Jaiswal, C. Lee, K. Roy
IEEE Transactions on Circuits and Systems I: Regular Papers -
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations
S. Sarwar, G. Srinivasan, B. Han, P. Wejisinghe, A. Jaiswal, P. Panda, A. Raghunathan, K. Roy
IEEE Journal on Emerging and Selected Topics in Circuits and Systems -
Toward Fast Neural Computing using All-Photonic Spiking Neurons
I. Chakraborty, G. Das, K. Roy
Scientific Reports 8 -
Encoding Neural and Synaptic Functionalities in Electron Spin: A Path-way to Efficient Neuromorphic Computing
A. Sengupta, K. Roy
Applied Physics Reviews -
Cross-Layer Design Exploration for Energy-Quality Tradeos in Spiking and Non-Spiking Deep Artificial Neural Networks
B. Han, A. Ankit, A. Sengupta, K. Roy
IEEE Transactions On Multi-Scale Computing -
Perspective: Stochastic Magnetic Devices for Cognitive Computing
K. Roy, A. Sengupta, Y. Shim
Journal of Applied Physics -
Design of a low-voltage analog-to-digital converter using voltage-controlled stochastic switching of low barrier nanomagnets
I. Chakraborty, A. Agrawal, K. Roy
IEEE Magnetics Letters 9 -
Optical Receiver with Helicity Dependent Magnetization Reversal
T. Ostler, Z. Azim, C. Xu, K. Roy
IEEE Transactions on Magnetics -
An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing Low-Power Stochastic Brain
P. Wejisinghe, A. Sengupta, A. Ankit, K. Roy
IEEE Transactions on Emerging Topics in Computational Intelligence -
STDP Based Unsupervised Multimodal Learning with Cross-modal Processing in Spiking Neural Networks
N. Rathi, K. Roy
IEEE Transactions on Emerging Topics in Computational Intelligence, October 2018 -
Technology Aware Training in Memristive Neuromorphic Systems for non-ideal Synaptic Crossbars
I. Chakraborty, D. Roy, K. Roy
IEEE Transactions on Emerging Topics in Computational Intelligence -
Image Edge Detection based on Swarm Intelligence using Memristive Networks
Z. Pajouhi, K. Roy
IEEE Transactions on Computer-Aided Design of ICs, 2017 -
DeltaFrame-BP: An Algorithm using Frame Difference for Deep Convolutional Neural Network Training and Inference on Video Data
B. Han, K. Roy
IEEE Transactions on Multi-Scale Computing Systems -
Training Deep Spiking Convolutional Neural Networks with STDP-based Unsupervised Pre-training followed by Supervised Fine-tuning
C. Lee, P. Panda, G. Srinivasan, K. Roy
Frontiers in Neuroscience, August 2018 -
Magnetic Skyrmion as a Spintronic Deep Learning Spiking Neuron Processor
M.-C. Chen, A. Sengupta, K. Roy
IEEE Transactions on Magnetics -
SOT-MRAM based on Shared Bit-line Structure
Y. Seo, K. Roy
IEEE Transactions on VLSI Systems -
Design and Comparative Analysis of Spintronic Memories based on Current and Voltage driven Switching
R. Andrawis, A. Jaiswal, K. Roy
IEEE Transactions on Electron Devices -
Deep Spiking Convolutional Neural Network Trained with Unsupervised Spike Timing Dependent Plasticity
C. Lee, G. Srinivasan, P. Panda, K. Roy
IEEE Transactions on Cognitive and Developmental Systems, May 2018
