
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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Smallbrain neural networks rapidly solve inverse problems with vortex Fourier encoders
We introduce a vortex phase transform with a lensletarray to accompany ...
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Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Inference accuracy of deep neural networks (DNNs) is a crucial performan...
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Joint Image and Depth Estimation with MaskBased Lensless Cameras
Maskbased lensless cameras replace the lens of a conventional camera wi...
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Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity
How can we identify similar repositories and clusters among a large onli...
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Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
There has been a recent surge in research on adversarial perturbations t...
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Adversarial Perturbations Against RealTime Video Classification Systems
Recent research has demonstrated the brittleness of machine learning sys...
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Measurementdriven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
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Solving Phase Retrieval with a Learned Reference
Fourier phase retrieval is a classical problem that deals with the recov...
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Webly Supervised Joint Embedding for CrossModal ImageText Retrieval
Crossmodal retrieval between visual data and natural language descripti...
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Challenges in PartiallyAutomated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data
Connected vehicle and driver's assistance applications are greatly facil...
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Multilevel Optimal Transport: a Fast Approximation of Wasserstein1 distances
We propose a fast algorithm for the calculation of the Wasserstein1 dis...
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Fixedtime consensus of multiple doubleintegrator systems under directed topologies: A motionplanning approach
This paper investigates the fixedtime consensus problem under directed ...
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Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations
The recent breakthroughs of deep reinforcement learning (DRL) technique ...
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The Exact Solution to Rank1 L1norm TUCKER2 Decomposition
We study rank1 L1normbased TUCKER2 (L1TUCKER2) decomposition of 3wa...
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Toward Depth Estimation Using MaskBased Lensless Cameras
Recently, coded masks have been used to demonstrate a thin formfactor l...
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Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining
The PARAFAC tensor decomposition has enjoyed an increasing success in ex...
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SamBaTen: Samplingbased Batch Incremental Tensor Decomposition
Tensor decompositions are invaluable tools in analyzing multimodal datas...
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Diversityaware MultiVideo Summarization
Most video summarization approaches have focused on extracting a summary...
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MultiView Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Most traditional video summarization methods are designed to generate ef...
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Collaborative Summarization of TopicRelated Videos
Large collections of videos are grouped into clusters by a topic keyword...
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Behavior Query Discovery in SystemGenerated Temporal Graphs
Computer system monitoring generates huge amounts of logs that record th...
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Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support
In a variety of research areas, the weighted bag of vectors and the hist...
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Video Summarization in a MultiView Camera Network
While most existing video summarization approaches aim to extract an inf...
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A Welltyped Lightweight Situation Calculus
Situation calculus has been widely applied in Artificial Intelligence re...
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Multiclass Total Variation Clustering
Ideas from the image processing literature have recently motivated a new...
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Logic with Verbs
The aim of this paper is to introduce a logic in which nouns and verbs a...
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DockerEnabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere
Variations in High Performance Computing (HPC) system software configura...
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InDepth Exploration of SingleSnapshot Lossy Compression Techniques for NBody Simulations
In situ lossy compression allowing usercontrolled data loss can signifi...
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Fundamental Properties of FullDuplex Radio for Secure Wireless Communications
This paper presents a number of fundamental properties of fullduplex ra...
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On Asymptotic Analysis of ZeroDelay EnergyDistortion Tradeoff Under Additive White Gaussian Noise
Asymptotic energydistortion performance of zerodelay communication sce...
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Learning Compact Neural Networks with Regularization
We study the impact of regularization for learning neural networks. Our ...
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Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches
Peertopeer (P2P) energy trading has emerged as a nextgeneration energ...
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RIPEx: Extracting malicious IP addresses from security forums using crossforum learning
Is it possible to extract malicious IP addresses reported in security fo...
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Optimal mean squared error bandwidth for spectral variance estimators in MCMC simulations
This paper proposes optimal mean squared error bandwidths for a family o...
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Semisupervised Contentbased Detection of Misinformation via Tensor Embeddings
Fake news may be intentionally created to promote economic, political an...
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Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
Tensor decompositions are used in various data mining applications from ...
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Improving Performance of Iterative Methods by Lossy Checkponting
Iterative methods are commonly used approaches to solve large, sparse li...
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SURREAL: SUbgraph Robust REpresentAtion Learning
The success of graph embeddings or node representation learning in a var...
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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...
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FixedPSNR Lossy Compression for Scientific Data
Errorcontrolled lossy compression has been studied for years because of...
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Weighted batch means estimators in Markov chain Monte Carlo
This paper proposes a family of weighted batch means variance estimators...
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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...
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High Dimensional Data Enrichment: Interpretable, Fast, and DataEfficient
High dimensional structured data enriched model describes groups of obse...
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Optimizing Lossy Compression RateDistortion from Automatic Online Selection between SZ and ZFP
With everincreasing volumes of scientific data produced by HPC applicat...
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A Constrained Coupled MatrixTensor Factorization for Learning Timeevolving and Emerging Topics
Topic discovery has witnessed a significant growth as a field of data mi...
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OCTen: Online Compressionbased Tensor Decomposition
Tensor decompositions are powerful tools for large data analytics as the...
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Phase Retrieval for Signals in Union of Subspaces
We consider the phase retrieval problem for signals that belong to a uni...
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A φCompetitive Algorithm for Scheduling Packets with Deadlines
In the online packet scheduling problem with deadlines (PacketScheduling...
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WTALC: Weaklysupervised Temporal Activity Localization and Classification
Most activity localization methods in the literature suffer from the bur...
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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.