Auburn University

∙ Auburn , United States ∙ 0 followers

Auburn University has developed into one of the largest universities in the South, remaining in the educational forefront with its traditional blend of arts and applied science and changing with the needs of today while living with a respect for the traditions and spirit that are Auburn.

Understanding Neural Networks via Feature Visualization: A survey

A neuroscience method to understanding the brain is to find and study th...
04/18/2019 ∙ by Anh Nguyen, et al. ∙ 38 ∙ share

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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...
11/28/2018 ∙ by Michael A. Alcorn, et al. ∙ 19 ∙ share

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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...
07/02/2020 ∙ by Ella M. Gale, et al. ∙ 19 ∙ share

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Stable and Efficient Policy Evaluation

Policy evaluation algorithms are essential to reinforcement learning due...
06/06/2020 ∙ by Daoming Lyu, et al. ∙ 12 ∙ share

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Adversarial FDI Attack against AC State Estimation with ANN

Artificial neural network (ANN) provides superior accuracy for nonlinear...
06/26/2019 ∙ by Tian Liu, et al. ∙ 5 ∙ share

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VectorDefense: Vectorization as a Defense to Adversarial Examples

Training deep neural networks on images represented as grids of pixels h...
04/23/2018 ∙ by Vishaal Munusamy Kabilan, et al. ∙ 2 ∙ share

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Spatial PixelCNN: Generating Images from Patches

In this paper we propose Spatial PixelCNN, a conditional autoregressive ...
12/03/2017 ∙ by Nader Akoury, et al. ∙ 0 ∙ share

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O^2TD: (Near)-Optimal Off-Policy TD Learning

Temporal difference learning and Residual Gradient methods are the most ...
04/17/2017 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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The Quadrifocal Variety

Multi-view Geometry is reviewed from an Algebraic Geometry perspective a...
01/06/2015 ∙ by Luke Oeding, et al. ∙ 0 ∙ share

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Development of a Burst Buffer System for Data-Intensive Applications

Modern parallel filesystems such as Lustre are designed to provide high,...
05/07/2015 ∙ by Teng Wang, et al. ∙ 0 ∙ share

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Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms

We establish a unified analytical framework for load balancing systems, ...
10/12/2017 ∙ by Xingyu Zhou, et al. ∙ 0 ∙ share

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The Age of Information in Multihop Networks

The problem of minimizing the age-of-information has been extensively st...
12/25/2017 ∙ by Ahmed M. Bedewy, et al. ∙ 0 ∙ share

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Achieving the Age-Energy Tradeoff with a Finite-Battery Energy Harvesting Source

We study the problem of minimizing the time-average expected Age of Info...
02/13/2018 ∙ by Baran Tan Bacinoglu, et al. ∙ 0 ∙ share

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Impact of Channel State Misreporting on Multi-user Massive MIMO Scheduling Performance

The robustness of system throughput with scheduling is a critical issue....
04/02/2018 ∙ by Zhanzhan Zhang, et al. ∙ 0 ∙ share

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PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Reinforcement learning and symbolic planning have both been used to buil...
04/20/2018 ∙ by Fangkai Yang, et al. ∙ 0 ∙ share

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Randomized Polynomial-Time Root Counting in Prime Power Rings

Suppose k,p∈N with p prime and f∈Z[x] is a univariate polynomial with de...
08/30/2018 ∙ by Leann Kopp, et al. ∙ 0 ∙ share

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A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Risk management in dynamic decision problems is a primary concern in man...
09/07/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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A Transfer-Learnable Natural Language Interface for Databases

Relational database management systems (RDBMSs) are powerful because the...
09/07/2018 ∙ by Wenlu Wang, et al. ∙ 0 ∙ share

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Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures

The formal theoretical analysis on channel correlations in both real ind...
09/29/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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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...
10/24/2018 ∙ by Erkan Nane, et al. ∙ 0 ∙ share

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SDRL: Interpretable and Data-efficient Deep Reinforcement LearningLeveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...
10/31/2018 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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Motif and Hypergraph Correlation Clustering

Motivated by applications in social and biological network analysis, we ...
11/05/2018 ∙ by Pan Li, et al. ∙ 0 ∙ share

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QUOTA: The Quantile Option Architecture for Reinforcement Learning

In this paper, we propose the Quantile Option Architecture (QUOTA) for e...
11/05/2018 ∙ by Shangtong Zhang, et al. ∙ 0 ∙ share

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SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...
10/31/2018 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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Age-optimal Sampling and Transmission Scheduling in Multi-Source Systems

In this paper, we consider the problem of minimizing the age of informat...
12/22/2018 ∙ by Ahmed M. Bedewy, et al. ∙ 0 ∙ share

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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...
12/27/2018 ∙ by Mingjie Feng, et al. ∙ 0 ∙ share

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Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design

One fundamental challenge in 5G URLLC is how to optimize massive MIMO co...
02/20/2019 ∙ by Xu Du, et al. ∙ 0 ∙ share

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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 ...
05/07/2019 ∙ by Wen Dong, et al. ∙ 0 ∙ share

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Optimal Status Updating with a Finite-Battery Energy Harvesting Source

We consider an energy harvesting source equipped with a finite battery, ...
05/16/2019 ∙ by Baran Tan Bacinoglu, et al. ∙ 0 ∙ share

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Knowledge-Based Sequential Decision-Making Under Uncertainty

Deep reinforcement learning (DRL) algorithms have achieved great success...
05/16/2019 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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Neurons Activation Visualization and Information Theoretic Analysis

Understanding the inner working mechanism of deep neural networks (DNNs)...
05/14/2019 ∙ by Longwei Wang, et al. ∙ 0 ∙ share

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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...
07/12/2019 ∙ by Elliot Krop, et al. ∙ 0 ∙ share

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Recommendation of Exception Handling Code in Mobile App Development

In modern programming languages, exception handling is an effective mech...
08/19/2019 ∙ by Tam The Nguyen, et al. ∙ 0 ∙ share

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API Misuse Correction: A Statistical Approach

Modern software development relies heavily on Application Programming In...
08/18/2019 ∙ by Tam The Nguyen, et al. ∙ 0 ∙ share

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Learning Algebraic Models of Quantum Entanglement

We give a thorough overview of supervised learning and network design fo...
08/27/2019 ∙ by Hamza Jaffali, et al. ∙ 0 ∙ share

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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...
08/28/2019 ∙ by Phong Minh Vu, et al. ∙ 0 ∙ share

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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...
08/28/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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TAAL: Tampering Attack on Any Key-based Logic Locked Circuits

Due to the globalization of semiconductor manufacturing and test process...
09/16/2019 ∙ by Ziqi Zhou, et al. ∙ 0 ∙ share

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A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming

Recent successes of Reinforcement Learning (RL) allow an agent to learn ...
09/18/2019 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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Multi-operator Network Sharing for Massive IoT

Recent study predicts that by 2020 up to 50 billion IoT devices will be ...
01/25/2020 ∙ by Yong Xiao, et al. ∙ 0 ∙ share

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Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks

In this paper, we consider a joint sampling and transmission scheduling ...
01/24/2020 ∙ by Ahmed M. Bedewy, et al. ∙ 0 ∙ share

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Coalescing Eigenvalues and Crossing Eigencurves of 1-Parameter Matrix Flows

We investigate the eigenvalue curves of 1-parameter hermitean and genera...
02/04/2020 ∙ by Frank Uhlig, et al. ∙ 0 ∙ share

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Delay-Optimal Distributed Edge Computing in Wireless Edge Networks

By integrating edge computing with parallel computing, distributed edge ...
02/07/2020 ∙ by Xiaowen Gong, et al. ∙ 0 ∙ share

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On the Trackability of Stochastic Processes

We consider the problem of estimating the state of a discrete stochastic...
02/19/2020 ∙ by Baran Tan Bacinoglu, et al. ∙ 0 ∙ share

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On the Decomposability of 1-Parameter Matrix Flows

For general complex or real 1-parameter matrix flow A(t)_n,n this paper ...
06/01/2020 ∙ by Frank Uhlig, et al. ∙ 0 ∙ share

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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...
06/01/2020 ∙ by Frank Uhlig, et al. ∙ 0 ∙ share

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Yield Loss Reduction and Test of AI and Deep Learning Accelerators

With data-driven analytics becoming mainstream, the global demand for de...
06/08/2020 ∙ by Mehdi Sadi, et al. ∙ 0 ∙ share

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A global-in-time domain decomposition method for the coupled nonlinear Stokes and Darcy flows

We study a decoupling iterative algorithm based on domain decomposition ...
07/03/2020 ∙ by Thi-Thao-Phuong Hoang, et al. ∙ 0 ∙ share

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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...
08/05/2020 ∙ by Frank Uhlig, et al. ∙ 0 ∙ share

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Zeroing Neural Networks, an Introduction to, a Survey of, and Predictive Computations for Time-varying Matrix Problems

This paper is designed to increase knowledge and understanding of time-v...
08/06/2020 ∙ by Frank Uhlig, et al. ∙ 0 ∙ share

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