Auburn University

research

∙ 04/18/2019

Understanding Neural Networks via Feature Visualization: A survey

A neuroscience method to understanding the brain is to find and study th...

Anh Nguyen, et al. ∙

research

∙ 11/28/2018

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...

Michael A. Alcorn, et al. ∙

research

∙ 07/02/2020

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...

Ella M. Gale, et al. ∙

research

∙ 06/06/2020

Stable and Efficient Policy Evaluation

Policy evaluation algorithms are essential to reinforcement learning due...

Daoming Lyu, et al. ∙

research

∙ 10/14/2021

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs

Recent advancements in Graph Neural Networks have led to state-of-the-ar...

Jie Zhang, et al. ∙

research

∙ 02/09/2022

A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks

In this paper, we present a local geometric analysis to interpret how de...

MD Kamran Chowdhury Shisher, et al. ∙

research

∙ 06/26/2019

Adversarial FDI Attack against AC State Estimation with ANN

Artificial neural network (ANN) provides superior accuracy for nonlinear...

Tian Liu, et al. ∙

research

∙ 10/22/2021

Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

Explaining how important each input feature is to a classifier's decisio...

Thang M. Pham, et al. ∙

research

∙ 04/23/2018

VectorDefense: Vectorization as a Defense to Adversarial Examples

Training deep neural networks on images represented as grids of pixels h...

Vishaal Munusamy Kabilan, et al. ∙

research

∙ 12/03/2017

Spatial PixelCNN: Generating Images from Patches

In this paper we propose Spatial PixelCNN, a conditional autoregressive ...

Nader Akoury, et al. ∙

research

∙ 04/17/2017

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

Temporal difference learning and Residual Gradient methods are the most ...

Bo Liu, et al. ∙

research

∙ 01/06/2015

The Quadrifocal Variety

Multi-view Geometry is reviewed from an Algebraic Geometry perspective a...

Luke Oeding, et al. ∙

research

∙ 05/07/2015

Development of a Burst Buffer System for Data-Intensive Applications

Modern parallel filesystems such as Lustre are designed to provide high,...

Teng Wang, et al. ∙

research

∙ 10/12/2017

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

We establish a unified analytical framework for load balancing systems, ...

Xingyu Zhou, et al. ∙

research

∙ 12/25/2017

The Age of Information in Multihop Networks

The problem of minimizing the age-of-information has been extensively st...

Ahmed M. Bedewy, et al. ∙

research

∙ 02/13/2018

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...

Baran Tan Bacinoglu, et al. ∙

research

∙ 04/02/2018

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

The robustness of system throughput with scheduling is a critical issue....

Zhanzhan Zhang, et al. ∙

research

∙ 04/20/2018

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

Reinforcement learning and symbolic planning have both been used to buil...

Fangkai Yang, et al. ∙

research

∙ 08/30/2018

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...

Leann Kopp, et al. ∙

research

∙ 09/07/2018

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Risk management in dynamic decision problems is a primary concern in man...

Bo Liu, et al. ∙

research

∙ 09/07/2018

A Transfer-Learnable Natural Language Interface for Databases

Relational database management systems (RDBMSs) are powerful because the...

Wenlu Wang, et al. ∙

research

∙ 09/29/2018

Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures

The formal theoretical analysis on channel correlations in both real ind...

Rui Zhu, et al. ∙

research

∙ 10/24/2018

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...

Erkan Nane, et al. ∙

research

∙ 10/31/2018

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

Deep reinforcement learning (DRL) has gained great success by learning d...

Daoming Lyu, et al. ∙

research

∙ 11/05/2018

Motif and Hypergraph Correlation Clustering

Motivated by applications in social and biological network analysis, we ...

Pan Li, et al. ∙

research

∙ 11/05/2018

QUOTA: The Quantile Option Architecture for Reinforcement Learning

In this paper, we propose the Quantile Option Architecture (QUOTA) for e...

Shangtong Zhang, et al. ∙

research

∙ 10/31/2018

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

Deep reinforcement learning (DRL) has gained great success by learning d...

Daoming Lyu, et al. ∙

research

∙ 12/22/2018

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

In this paper, we consider the problem of minimizing the age of informat...

Ahmed M. Bedewy, et al. ∙

research

∙ 12/27/2018

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...

Mingjie Feng, et al. ∙

research

∙ 02/20/2019

Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design

One fundamental challenge in 5G URLLC is how to optimize massive MIMO co...

Xu Du, et al. ∙

research

∙ 05/07/2019

Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process

Complex social systems are composed of interconnected individuals whose ...

Wen Dong, et al. ∙

research

∙ 05/16/2019

Optimal Status Updating with a Finite-Battery Energy Harvesting Source

We consider an energy harvesting source equipped with a finite battery, ...

Baran Tan Bacinoglu, et al. ∙

research

∙ 05/16/2019

Knowledge-Based Sequential Decision-Making Under Uncertainty

Deep reinforcement learning (DRL) algorithms have achieved great success...

Daoming Lyu, et al. ∙

research

∙ 05/14/2019

Neurons Activation Visualization and Information Theoretic Analysis

Understanding the inner working mechanism of deep neural networks (DNNs)...

Longwei Wang, et al. ∙

research

∙ 07/12/2019

Upper bounds for inverse domination in graphs

In any graph G, the domination number γ(G) is at most the independence n...

Elliot Krop, et al. ∙

research

∙ 08/19/2019

Recommendation of Exception Handling Code in Mobile App Development

In modern programming languages, exception handling is an effective mech...

Tam The Nguyen, et al. ∙

research

∙ 08/18/2019

API Misuse Correction: A Statistical Approach

Modern software development relies heavily on Application Programming In...

Tam The Nguyen, et al. ∙

research

∙ 08/27/2019

Learning Algebraic Models of Quantum Entanglement

We give a thorough overview of supervised learning and network design fo...

Hamza Jaffali, et al. ∙

research

∙ 08/28/2019

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...

Phong Minh Vu, et al. ∙

research

∙ 08/28/2019

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension

A natural language interface (NLI) to databases is an interface that tra...

Jingjing Li, et al. ∙

research

∙ 09/16/2019

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

Due to the globalization of semiconductor manufacturing and test process...

Ziqi Zhou, et al. ∙

research

∙ 09/18/2019

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

Recent successes of Reinforcement Learning (RL) allow an agent to learn ...

Daoming Lyu, et al. ∙

research

∙ 01/25/2020

Multi-operator Network Sharing for Massive IoT

Recent study predicts that by 2020 up to 50 billion IoT devices will be ...

Yong Xiao, et al. ∙

research

∙ 01/24/2020

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

In this paper, we consider a joint sampling and transmission scheduling ...

Ahmed M. Bedewy, et al. ∙

research

∙ 02/04/2020

Coalescing Eigenvalues and Crossing Eigencurves of 1-Parameter Matrix Flows

We investigate the eigenvalue curves of 1-parameter hermitean and genera...

Frank Uhlig, et al. ∙

research

∙ 02/07/2020

Delay-Optimal Distributed Edge Computing in Wireless Edge Networks

By integrating edge computing with parallel computing, distributed edge ...

Xiaowen Gong, et al. ∙

research

∙ 02/19/2020

On the Trackability of Stochastic Processes

We consider the problem of estimating the state of a discrete stochastic...

Baran Tan Bacinoglu, et al. ∙

research

∙ 06/01/2020

On the Decomposability of 1-Parameter Matrix Flows

For general complex or real 1-parameter matrix flow A(t)_n,n this paper ...

Frank Uhlig, et al. ∙

research

∙ 06/01/2020

Constructing the Field of Values of Decomposable and General Matrices

This paper describes and develops a fast and accurate algorithm that com...

Frank Uhlig, et al. ∙

research

∙ 06/08/2020

Yield Loss Reduction and Test of AI and Deep Learning Accelerators

With data-driven analytics becoming mainstream, the global demand for de...

Mehdi Sadi, et al. ∙

Auburn University

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