| RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars | 4 | 0.42 | 2021 |
| Gesture-SNN: co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors | 2 | 0.44 | 2021 |
| Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing | 0 | 0.34 | 2021 |
| Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies | 0 | 0.34 | 2020 |
| TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks | 1 | 0.40 | 2020 |
| NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs | 4 | 0.41 | 2020 |
| Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. | 0 | 0.34 | 2018 |
| Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures | 0 | 0.34 | 2018 |
| Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. | 29 | 1.02 | 2018 |
| All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. | 0 | 0.34 | 2018 |
| An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. | 5 | 0.44 | 2018 |
| Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. | 0 | 0.34 | 2018 |
| Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. | 3 | 0.42 | 2017 |
| Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). | 0 | 0.34 | 2017 |
| Energy-Efficient Object Detection Using Semantic Decomposition. | 1 | 0.36 | 2017 |
| TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. | 2 | 0.38 | 2017 |
| Magnetic tunnel junction enabled all-spin stochastic spiking neural network. | 5 | 0.48 | 2017 |
| Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. | 4 | 0.40 | 2017 |
| Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. | 0 | 0.34 | 2017 |
| Stochastic Spin-Orbit Torque Devices As Elements For Bayesian Inference | 1 | 0.41 | 2017 |
| An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. | 0 | 0.34 | 2017 |
| RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. | 6 | 0.42 | 2017 |
| Toward a spintronic deep learning spiking neural processor. | 0 | 0.34 | 2016 |
| Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. | 7 | 0.50 | 2016 |
| Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. | 12 | 0.65 | 2016 |
| Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses | 2 | 0.36 | 2016 |
| A Vision for All-Spin Neural Networks: A Device to System Perspective. | 1 | 0.36 | 2016 |
| Spintronic devices for ultra-low power neuromorphic computation (Special session paper). | 2 | 0.41 | 2016 |
| On the energy benefits of spiking deep neural networks: A case study. | 3 | 0.39 | 2016 |
| Neuromorphic Computing Enabled by Spin-Transfer Torque Devices | 1 | 0.34 | 2016 |
| Conditional Deep Learning for energy-efficient and enhanced pattern recognition | 11 | 0.62 | 2016 |
| Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. | 4 | 0.41 | 2016 |
| Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets | 10 | 0.60 | 2016 |
| Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing | 8 | 0.62 | 2015 |
| Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing | 0 | 0.34 | 2015 |
| Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. | 0 | 0.34 | 2015 |
| Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses | 5 | 0.44 | 2015 |
| Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets | 2 | 0.41 | 2015 |
| Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons | 15 | 1.00 | 2015 |
| Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems | 18 | 0.80 | 2015 |
| Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. | 10 | 0.61 | 2014 |
| Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. | 12 | 0.97 | 2014 |
| Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity | 18 | 1.17 | 2014 |
| Spin Orbit Torque Based Electronic Neuron | 12 | 0.83 | 2014 |
| 3-D model assisted facial error concealment technique using regenerative particle filter based tracking. | 1 | 0.35 | 2013 |
| An Adaptive Memetic Algorithm Using A Synergy Of Differential Evolution And Learning Automata | 5 | 0.41 | 2012 |
| Implementation of EEG based control of remote robotic systems. | 1 | 0.36 | 2011 |
| Application of swarm intelligence to a two-fold optimization scheme for trajectory planning of a robot arm | 2 | 0.40 | 2011 |
