New Jersey Institute of Technology

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New Jersey Institute of Technology is the state's public polytechnic university and a leader in STEM education, research, economic development, and service.

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a p...
04/24/2019 ∙ by Matthew C. Fontaine, et al. ∙ 14 ∙ share

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Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

Quality Diversity (QD) algorithms like Novelty Search with Local Competi...
12/05/2019 ∙ by Matthew C. Fontaine, et al. ∙ 14 ∙ share

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Tracing Halpha Fibrils through Bayesian Deep Learning

We present a new deep learning method, dubbed FibrilNet, for tracing chr...
07/16/2021 ∙ by Haodi Jiang, et al. ∙ 8 ∙ share

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Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Recent developments in machine learning techniques have allowed automati...
07/11/2020 ∙ by Matthew C. Fontaine, et al. ∙ 6 ∙ share

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CPOT: Channel Pruning via Optimal Transport

Recent advances in deep neural networks (DNNs) lead to tremendously grow...
05/21/2020 ∙ by Yucong Shen, et al. ∙ 5 ∙ share

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The Many AI Challenges of Hearthstone

Games have benchmarked AI methods since the inception of the field, with...
07/15/2019 ∙ by Amy K. Hoover, et al. ∙ 4 ∙ share

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Low-Power Neuromorphic Hardware for Signal Processing Applications

Machine learning has emerged as the dominant tool for implementing compl...
01/11/2019 ∙ by Bipin Rajendran, et al. ∙ 2 ∙ share

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Evolving the Hearthstone Meta

Balancing an ever growing strategic game of high complexity, such as Hea...
07/02/2019 ∙ by Fernando de Mesentier Silva, et al. ∙ 1 ∙ share

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Stochastic Deep Learning in Memristive Networks

We study the performance of stochastically trained deep neural networks ...
11/09/2017 ∙ by Anakha V Babu, et al. ∙ 0 ∙ share

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Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks

We describe a novel spiking neural network (SNN) for automated, real-tim...
11/09/2017 ∙ by Shruti R. Kulkarni, et al. ∙ 0 ∙ share

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Predicting Abandonment in Online Coding Tutorials

Learners regularly abandon online coding tutorials when they get bored o...
07/13/2017 ∙ by An Yan, et al. ∙ 0 ∙ share

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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

In this paper, we focus on developing a novel mechanism to preserve diff...
09/18/2017 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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On Scalable Inference with Stochastic Gradient Descent

In many applications involving large dataset or online updating, stochas...
07/01/2017 ∙ by Yixin Fang, et al. ∙ 0 ∙ share

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Preserving Differential Privacy in Convolutional Deep Belief Networks

The remarkable development of deep learning in medicine and healthcare d...
06/25/2017 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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Feature Based Task Recommendation in Crowdsourcing with Implicit Observations

Existing research in crowdsourcing has investigated how to recommend tas...
02/10/2016 ∙ by Habibur Rahman, et al. ∙ 0 ∙ share

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Optimal strategies for the control of autonomous vehicles in data assimilation

We propose a method to compute optimal control paths for autonomous vehi...
12/07/2015 ∙ by Damon McDougall, et al. ∙ 0 ∙ share

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Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning

This paper employs case-based reasoning (CBR) to capture the personal st...
07/10/2016 ∙ by Bingwen Jin, et al. ∙ 0 ∙ share

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Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location

Active authentication is the problem of continuously verifying the ident...
03/29/2015 ∙ by Lex Fridman, et al. ∙ 0 ∙ share

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Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

A novel Bayesian modulation classification scheme is proposed for a sing...
08/04/2014 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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JPEG Steganalysis Based on DenseNet

Current research has indicated that convolution neural networks (CNNs) c...
11/26/2017 ∙ by Jianhua Yang, et al. ∙ 0 ∙ share

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Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Fog Radio Access Network (F-RAN) architectures can leverage both cloud p...
11/28/2017 ∙ by Seyyed Mohammadreza Azimi, et al. ∙ 0 ∙ share

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Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel

Finite blocklength and second-order (dispersion) results are presented f...
01/11/2018 ∙ by Oliver Kosut, et al. ∙ 0 ∙ share

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Achievable Rate of Private Function Retrieval from MDS Coded Databases

We study the problem of private function retrieval (PFR) in a distribute...
02/22/2018 ∙ by Sarah A. Obead, et al. ∙ 0 ∙ share

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ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain

We design and implement the first private and anonymous decentralized cr...
03/03/2018 ∙ by Yuan Lu, et al. ∙ 0 ∙ share

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Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning

Computer-generated graphics are images generated by computer software. T...
03/26/2018 ∙ by Ye Yao, et al. ∙ 0 ∙ share

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Optimal Placement of a UAV to Maximize the Lifetime of Wireless Devices

Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stat...
04/06/2018 ∙ by Hazim Shakhatreh, et al. ∙ 0 ∙ share

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Efficient (nonrandom) construction and decoding of non-adaptive group testing

The task of non-adaptive group testing is to identify up to d defective ...
04/11/2018 ∙ by Thach V. Bui, et al. ∙ 0 ∙ share

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Spatial Image Steganography Based on Generative Adversarial Network

With the recent development of deep learning on steganalysis, embedding ...
04/21/2018 ∙ by Jianhua Yang, et al. ∙ 0 ∙ share

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Spectrally Robust Graph Isomorphism

We initiate the study of spectral generalizations of the graph isomorphi...
05/01/2018 ∙ by Alexandra Kolla, et al. ∙ 0 ∙ share

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Coded Computation Against Distributed Straggling Decoders for Gaussian Channels in C-RAN

The uplink via additive white Gaussian noise channels of a cloud radio a...
05/29/2018 ∙ by Jinwen Shi, et al. ∙ 0 ∙ share

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A Hybrid RF-VLC System for Energy Efficient Wireless Access

In this paper, we propose a new paradigm in designing and realizing ener...
06/13/2018 ∙ by Abdallah Khreishah, et al. ∙ 0 ∙ share

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Random depthwise signed convolutional neural networks

Random weights in convolutional neural networks have shown promising res...
06/15/2018 ∙ by Yunzhe Xue, et al. ∙ 0 ∙ share

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Energy Efficient Resource Allocation in EH-enabled CR Networks for IoT

With the rapid growth of Internet of Things (IoT) devices, the next gene...
07/06/2018 ∙ by Ali Shahini, et al. ∙ 0 ∙ share

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Strong Coordination over Noisy Channels

We study the problem of strong coordination of the actions of two nodes ...
08/15/2018 ∙ by Sarah A. Obead, et al. ∙ 0 ∙ share

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A study of integer sorting on multicores

Integer sorting on multicores and GPUs can be realized by a variety of a...
08/29/2018 ∙ by Alexandros V. Gerbessiotis, et al. ∙ 0 ∙ share

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Achieving Low-Latency Mobile Edge Computing by Uplink and Downlink Decoupled Access in HetNets

Despite the physical proximity of computationally-enhanced Base Stations...
09/13/2018 ∙ by Ali Al-Shuwaili, et al. ∙ 0 ∙ share

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Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing

We consider binary spatially coupled (SC) low density measurement matric...
09/15/2018 ∙ by Salman Habib, et al. ∙ 0 ∙ share

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A Blended Deep Learning Approach for Predicting User Intended Actions

User intended actions are widely seen in many areas. Forecasting these a...
10/11/2018 ∙ by Fei Tan, et al. ∙ 0 ∙ share

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Programming Without Refining

To derive a program for a given specification R means to find an artifac...
10/23/2018 ∙ by Marwa Benabdelali, et al. ∙ 0 ∙ share

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The Preemptive Resource Allocation Problem

We revisit a classical scheduling model to incorporate modern trends in ...
11/18/2018 ∙ by Kanthi Sarpatwar, et al. ∙ 0 ∙ share

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Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation

Spiking neural networks (SNNs) have garnered a great amount of interest ...
10/23/2018 ∙ by Navin Anwani, et al. ∙ 0 ∙ share

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A Family-based Graphical Approach for Testing Hierarchically Ordered Families of Hypotheses

In applications of clinical trials, tested hypotheses are often grouped ...
12/01/2018 ∙ by Zhiying Qiu, et al. ∙ 0 ∙ share

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NOMA Aided Narrowband IoT for Machine Type Communications with User Clustering

To support Machine Type Communications (MTC) in next generation mobile n...
12/20/2018 ∙ by Ali Shahini, et al. ∙ 0 ∙ share

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Scalable Fair Clustering

We study the fair variant of the classic k-median problem introduced by ...
02/10/2019 ∙ by Arturs Backurs, et al. ∙ 0 ∙ share

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Statistical discrimination of RFI and astronomical transients in 2-bit digitized time domain signals

We investigate the performance of the generalized Spectral Kurtosis (SK)...
03/02/2019 ∙ by Gelu M. Nita, et al. ∙ 0 ∙ share

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GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier

Machine learning models, especially neural network (NN) classifiers, are...
03/06/2019 ∙ by Guanxiong Liu, et al. ∙ 0 ∙ share

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Preserving Differential Privacy in Adversarial Learning with Provable Robustness

In this paper, we aim to develop a novel mechanism to preserve different...
03/23/2019 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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An Integral Equation Method for the Cahn-Hilliard Equation in the Wetting Problem

We present an integral equation approach to solve the Cahn-Hilliard equa...
04/15/2019 ∙ by Xiaoyu Wei, et al. ∙ 0 ∙ share

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ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks

Neural Network classifiers have been used successfully in a wide range o...
04/17/2019 ∙ by Guanxiong Liu, et al. ∙ 0 ∙ share

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Stochastic Fading Channel Models with Multiple Dominant Specular Components for 5G and Beyond

We introduce a comprehensive statistical characterization of the multipa...
05/09/2019 ∙ by Juan M. Romero-Jerez, et al. ∙ 0 ∙ share

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