
Understanding Neural Networks via Feature Visualization: A survey
A neuroscience method to understanding the brain is to find and study th...
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Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Despite excellent performance on stationary test sets, deep neural netwo...
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Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
Various methods of measuring unit selectivity have been developed with t...
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Stable and Efficient Policy Evaluation
Policy evaluation algorithms are essential to reinforcement learning due...
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Adversarial FDI Attack against AC State Estimation with ANN
Artificial neural network (ANN) provides superior accuracy for nonlinear...
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VectorDefense: Vectorization as a Defense to Adversarial Examples
Training deep neural networks on images represented as grids of pixels h...
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Spatial PixelCNN: Generating Images from Patches
In this paper we propose Spatial PixelCNN, a conditional autoregressive ...
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O^2TD: (Near)Optimal OffPolicy TD Learning
Temporal difference learning and Residual Gradient methods are the most ...
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The Quadrifocal Variety
Multiview Geometry is reviewed from an Algebraic Geometry perspective a...
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Development of a Burst Buffer System for DataIntensive Applications
Modern parallel filesystems such as Lustre are designed to provide high,...
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Designing LowComplexity HeavyTraffic DelayOptimal Load Balancing Schemes: Theory to Algorithms
We establish a unified analytical framework for load balancing systems, ...
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The Age of Information in Multihop Networks
The problem of minimizing the ageofinformation has been extensively st...
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Achieving the AgeEnergy Tradeoff with a FiniteBattery Energy Harvesting Source
We study the problem of minimizing the timeaverage expected Age of Info...
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Impact of Channel State Misreporting on Multiuser Massive MIMO Scheduling Performance
The robustness of system throughput with scheduling is a critical issue....
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PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust DecisionMaking
Reinforcement learning and symbolic planning have both been used to buil...
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Randomized PolynomialTime Root Counting in Prime Power Rings
Suppose k,p∈N with p prime and f∈Z[x] is a univariate polynomial with de...
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A Block Coordinate Ascent Algorithm for MeanVariance Optimization
Risk management in dynamic decision problems is a primary concern in man...
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A TransferLearnable Natural Language Interface for Databases
Relational database management systems (RDBMSs) are powerful because the...
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Statistical Inference Attack Against PHYlayer Key Extraction and Countermeasures
The formal theoretical analysis on channel correlations in both real ind...
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Strong laws of large numbers for arrays of random variables and stable random fields
Strong laws of large numbers are established for random fields with weak...
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SDRL: Interpretable and Dataefficient Deep Reinforcement LearningLeveraging Symbolic Planning
Deep reinforcement learning (DRL) has gained great success by learning d...
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Motif and Hypergraph Correlation Clustering
Motivated by applications in social and biological network analysis, we ...
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QUOTA: The Quantile Option Architecture for Reinforcement Learning
In this paper, we propose the Quantile Option Architecture (QUOTA) for e...
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SDRL: Interpretable and Dataefficient Deep Reinforcement Learning Leveraging Symbolic Planning
Deep reinforcement learning (DRL) has gained great success by learning d...
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Ageoptimal Sampling and Transmission Scheduling in MultiSource Systems
In this paper, we consider the problem of minimizing the age of informat...
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Dealing with Limited Backhaul Capacity in Millimeter Wave Systems: A Deep Reinforcement Learning Approach
Millimeter Wave (MmWave) communication is one of the key technology of t...
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Balance Queueing and Retransmission: LatencyOptimal Massive MIMO Design
One fundamental challenge in 5G URLLC is how to optimize massive MIMO co...
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Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
Complex social systems are composed of interconnected individuals whose ...
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Optimal Status Updating with a FiniteBattery Energy Harvesting Source
We consider an energy harvesting source equipped with a finite battery, ...
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KnowledgeBased Sequential DecisionMaking Under Uncertainty
Deep reinforcement learning (DRL) algorithms have achieved great success...
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Neurons Activation Visualization and Information Theoretic Analysis
Understanding the inner working mechanism of deep neural networks (DNNs)...
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Upper bounds for inverse domination in graphs
In any graph G, the domination number γ(G) is at most the independence n...
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Recommendation of Exception Handling Code in Mobile App Development
In modern programming languages, exception handling is an effective mech...
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API Misuse Correction: A Statistical Approach
Modern software development relies heavily on Application Programming In...
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Learning Algebraic Models of Quantum Entanglement
We give a thorough overview of supervised learning and network design fo...
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On building an automated responding system for app reviews: What are the characteristics of reviews and their responses?
Recent studies showed that the dialogs between app developers and app us...
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SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
A natural language interface (NLI) to databases is an interface that tra...
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TAAL: Tampering Attack on Any Keybased Logic Locked Circuits
Due to the globalization of semiconductor manufacturing and test process...
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A HumanCentered DataDriven PlannerActorCritic Architecture via Logic Programming
Recent successes of Reinforcement Learning (RL) allow an agent to learn ...
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Multioperator Network Sharing for Massive IoT
Recent study predicts that by 2020 up to 50 billion IoT devices will be ...
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Optimal Sampling and Scheduling for Timely Status Updates in Multisource Networks
In this paper, we consider a joint sampling and transmission scheduling ...
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Coalescing Eigenvalues and Crossing Eigencurves of 1Parameter Matrix Flows
We investigate the eigenvalue curves of 1parameter hermitean and genera...
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DelayOptimal Distributed Edge Computing in Wireless Edge Networks
By integrating edge computing with parallel computing, distributed edge ...
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On the Trackability of Stochastic Processes
We consider the problem of estimating the state of a discrete stochastic...
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On the Decomposability of 1Parameter Matrix Flows
For general complex or real 1parameter matrix flow A(t)_n,n this paper ...
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Constructing the Field of Values of Decomposable and General Matrices
This paper describes and develops a fast and accurate algorithm that com...
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Yield Loss Reduction and Test of AI and Deep Learning Accelerators
With datadriven analytics becoming mainstream, the global demand for de...
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A globalintime domain decomposition method for the coupled nonlinear Stokes and Darcy flows
We study a decoupling iterative algorithm based on domain decomposition ...
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The Eight Epochs of Math as regards past and future Matrix Computation
This paper gives a personal assessment of Epoch making advances in Matri...
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Zeroing Neural Networks, an Introduction to, a Survey of, and Predictive Computations for Timevarying Matrix Problems
This paper is designed to increase knowledge and understanding of timev...
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