
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
read it

Smallbrain neural networks rapidly solve inverse problems with vortex Fourier encoders
We introduce a vortex phase transform with a lensletarray to accompany ...
read it

Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Inference accuracy of deep neural networks (DNNs) is a crucial performan...
read it

Joint Image and Depth Estimation with MaskBased Lensless Cameras
Maskbased lensless cameras replace the lens of a conventional camera wi...
read it

Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
There has been a recent surge in research on adversarial perturbations t...
read it

Adversarial Perturbations Against RealTime Video Classification Systems
Recent research has demonstrated the brittleness of machine learning sys...
read it

Measurementdriven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
read it

Solving Phase Retrieval with a Learned Reference
Fourier phase retrieval is a classical problem that deals with the recov...
read it

Webly Supervised Joint Embedding for CrossModal ImageText Retrieval
Crossmodal retrieval between visual data and natural language descripti...
read it

Challenges in PartiallyAutomated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data
Connected vehicle and driver's assistance applications are greatly facil...
read it

Multilevel Optimal Transport: a Fast Approximation of Wasserstein1 distances
We propose a fast algorithm for the calculation of the Wasserstein1 dis...
read it

Fixedtime consensus of multiple doubleintegrator systems under directed topologies: A motionplanning approach
This paper investigates the fixedtime consensus problem under directed ...
read it

Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations
The recent breakthroughs of deep reinforcement learning (DRL) technique ...
read it

The Exact Solution to Rank1 L1norm TUCKER2 Decomposition
We study rank1 L1normbased TUCKER2 (L1TUCKER2) decomposition of 3wa...
read it

Toward Depth Estimation Using MaskBased Lensless Cameras
Recently, coded masks have been used to demonstrate a thin formfactor l...
read it

Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining
The PARAFAC tensor decomposition has enjoyed an increasing success in ex...
read it

SamBaTen: Samplingbased Batch Incremental Tensor Decomposition
Tensor decompositions are invaluable tools in analyzing multimodal datas...
read it

Diversityaware MultiVideo Summarization
Most video summarization approaches have focused on extracting a summary...
read it

MultiView Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Most traditional video summarization methods are designed to generate ef...
read it

Collaborative Summarization of TopicRelated Videos
Large collections of videos are grouped into clusters by a topic keyword...
read it

Behavior Query Discovery in SystemGenerated Temporal Graphs
Computer system monitoring generates huge amounts of logs that record th...
read it

Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support
In a variety of research areas, the weighted bag of vectors and the hist...
read it

Video Summarization in a MultiView Camera Network
While most existing video summarization approaches aim to extract an inf...
read it

A Welltyped Lightweight Situation Calculus
Situation calculus has been widely applied in Artificial Intelligence re...
read it

Multiclass Total Variation Clustering
Ideas from the image processing literature have recently motivated a new...
read it

Logic with Verbs
The aim of this paper is to introduce a logic in which nouns and verbs a...
read it

DockerEnabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere
Variations in High Performance Computing (HPC) system software configura...
read it

InDepth Exploration of SingleSnapshot Lossy Compression Techniques for NBody Simulations
In situ lossy compression allowing usercontrolled data loss can signifi...
read it

Fundamental Properties of FullDuplex Radio for Secure Wireless Communications
This paper presents a number of fundamental properties of fullduplex ra...
read it

On Asymptotic Analysis of ZeroDelay EnergyDistortion Tradeoff Under Additive White Gaussian Noise
Asymptotic energydistortion performance of zerodelay communication sce...
read it

Learning Compact Neural Networks with Regularization
We study the impact of regularization for learning neural networks. Our ...
read it

Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches
Peertopeer (P2P) energy trading has emerged as a nextgeneration energ...
read it

RIPEx: Extracting malicious IP addresses from security forums using crossforum learning
Is it possible to extract malicious IP addresses reported in security fo...
read it

Optimal mean squared error bandwidth for spectral variance estimators in MCMC simulations
This paper proposes optimal mean squared error bandwidths for a family o...
read it

Semisupervised Contentbased Detection of Misinformation via Tensor Embeddings
Fake news may be intentionally created to promote economic, political an...
read it

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
Tensor decompositions are used in various data mining applications from ...
read it

Improving Performance of Iterative Methods by Lossy Checkponting
Iterative methods are commonly used approaches to solve large, sparse li...
read it

SURREAL: SUbgraph Robust REpresentAtion Learning
The success of graph embeddings or node representation learning in a var...
read it

DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization
As it requires a huge number of parameters when exposed to high dimensio...
read it

FixedPSNR Lossy Compression for Scientific Data
Errorcontrolled lossy compression has been studied for years because of...
read it

Weighted batch means estimators in Markov chain Monte Carlo
This paper proposes a family of weighted batch means variance estimators...
read it

A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens
Despite their increasing popularity and success in a variety of supervis...
read it

High Dimensional Data Enrichment: Interpretable, Fast, and DataEfficient
High dimensional structured data enriched model describes groups of obse...
read it

Optimizing Lossy Compression RateDistortion from Automatic Online Selection between SZ and ZFP
With everincreasing volumes of scientific data produced by HPC applicat...
read it

A Constrained Coupled MatrixTensor Factorization for Learning Timeevolving and Emerging Topics
Topic discovery has witnessed a significant growth as a field of data mi...
read it

OCTen: Online Compressionbased Tensor Decomposition
Tensor decompositions are powerful tools for large data analytics as the...
read it

Phase Retrieval for Signals in Union of Subspaces
We consider the phase retrieval problem for signals that belong to a uni...
read it

A φCompetitive Algorithm for Scheduling Packets with Deadlines
In the online packet scheduling problem with deadlines (PacketScheduling...
read it

WTALC: Weaklysupervised Temporal Activity Localization and Classification
Most activity localization methods in the literature suffer from the bur...
read it

Determining the Number of Communities in Degreecorrected Stochastic Block Models
We propose to estimate the number of communities in degreecorrected sto...
read it
University of California, Riverside
The University of California, Riverside, is a public research university and one of the 10 general campuses of the University of California system.