
μDARTS: Model UncertaintyAware Differentiable Architecture Search
We present a Model Uncertaintyaware Differentiable ARchiTecture Search ...
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Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks
A Spiking Neural Network (SNN) is trained with Spike Timing Dependent Pl...
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A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor
In this work, we present a Quantum Hopfield Associative Memory (QHAM) an...
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A Fully Spiking Hybrid Neural Network for EnergyEfficient Object Detection
This paper proposes a Fully Spiking Hybrid Neural Network (FSHNN) for en...
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Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation
Hardwarebased Malware Detectors (HMDs) using Machine Learning (ML) mode...
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A Deep Learningbased Collocation Method for Modeling Unknown PDEs from Sparse Observation
Deep learningbased modeling of dynamical systems driven by partial diff...
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Neural Identification for Control
We present a new method for learning control law that stabilizes an unkn...
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PhICNet: PhysicsIncorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
Dynamical systems involving partial differential equations (PDEs) and or...
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MagNet: Discovering Multiagent Interaction Dynamics using Neural Network
We present the MagNet, a multiagent interaction network to discover gov...
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Improving Robustness of ReRAMbased Spiking Neural Network Accelerator with Stochastic Spiketimingdependentplasticity
Spiketimingdependentplasticity (STDP) is an unsupervised learning alg...
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ScieNet: Deep Learning with Spikeassisted Contextual Information Extraction
Deep neural networks (DNNs) provide high image classification accuracy, ...
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Application Inference using Machine Learning based Side Channel Analysis
The proliferation of ubiquitous computing requires energyefficient as w...
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Mixture of Preprocessing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Deep learning on an edge device requires energy efficient operation due ...
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HybridNet: Integrating Modelbased and Datadriven Learning to Predict Evolution of Dynamical Systems
The robotic systems continuously interact with complex dynamical systems...
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Memory Slices: A Modular Building Block for Scalable, Intelligent Memory Systems
While reduction in feature size makes computation cheaper in terms of la...
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Blindsight: Blinding EM SideChannel Leakage using BuiltIn Fully Integrated Inductive Voltage Regulator
Modern highperformance as well as powerconstrained SystemonChips (So...
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EdgeHost Partitioning of Deep Neural Networks with Feature Space Encoding for ResourceConstrained InternetofThings Platforms
This paper introduces partitioning an inference task of a deep neural ne...
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NeuroTrainer: An Intelligent Memory Module for Deep Learning Training
This paper presents, NeuroTrainer, an intelligent memory module with in...
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Cascade Adversarial Machine Learning Regularized with a Unified Embedding
Deep neural network classifiers are vulnerable to small input perturbati...
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Demystifying the Characteristics of 3DStacked Memories: A Case Study for Hybrid Memory Cube
Threedimensional (3D)stacking technology, which enables the integratio...
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Saibal Mukhopadhyay
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