
Learned Gradient Compression for Distributed Deep Learning
Training deep neural networks on large datasets containing highdimensio...
read it

Temporal Collaborative Filtering with Graph Convolutional Neural Networks
Temporal collaborative filtering (TCF) methods aim at modelling nonstat...
read it

Fact Extraction and VERification – The FEVER case: An Overview
Fact Extraction and VERification (FEVER) is a recently introduced task w...
read it

A DeepUnfolded ReferenceBased RPCA Network For Video ForegroundBackground Separation
Deep unfolded neural networks are designed by unrolling the iterations o...
read it

Interpretable Deep Multimodal Image SuperResolution
Multimodal image superresolution (SR) is the reconstruction of a high r...
read it

Graph Convolutional Neural Networks with Node Transition Probabilitybased Message Passing and DropNode Regularization
Graph convolutional neural networks (GCNNs) have received much attention...
read it

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted ℓ_1ℓ_1 Minimization: Architecture Design and Generalization Analysis
Deep unfolding methods—for example, the learned iterative shrinkage thre...
read it

Multimodal Deep Unfolding for Guided Image SuperResolution
The reconstruction of a high resolution image given a low resolution obs...
read it

DeepFPC: Deep Unfolding of a FixedPoint Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
We present DeepFPC, a novel deep neural network designed by unfolding th...
read it

Multimodal Image Superresolution via Deep Unfolding with Side Information
Deep learning methods have been successfully applied to various computer...
read it

Deep CoupledRepresentation Learning for Sparse Linear Inverse Problems with Side Information
In linear inverse problems, the goal is to recover a target signal from ...
read it

Rumour Detection via News Propagation Dynamics and User Representation Learning
Rumours have existed for a long time and have been known for serious con...
read it

Designing recurrent neural networks by unfolding an l1l1 minimization algorithm
We propose a new deep recurrent neural network (RNN) architecture for se...
read it

Geometric Matrix Completion with Deep Conditional Random Fields
The problem of completing highdimensional matrices from a limited set o...
read it

Matrix Factorization via Deep Learning
Matrix completion is one of the key problems in signal processing and ma...
read it

Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Inferring air quality from a limited number of observations is an essent...
read it

Regularizing AutoencoderBased Matrix Completion Models via Manifold Learning
Autoencoders are popular among neuralnetworkbased matrix completion mo...
read it

Extendable Neural Matrix Completion
Matrix completion is one of the key problems in signal processing and ma...
read it

Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Tw...
read it

Online Decomposition of Compressive Streaming Data Using nℓ_1 ClusterWeighted Minimization
We consider a decomposition method for compressive streaming data in the...
read it

Multiview Deep Learning for Predicting Twitter Users' Location
The problem of predicting the location of users on large social networks...
read it

Multimodal Image SuperResolution via Joint Sparse Representations induced by Coupled Dictionaries
Realworld data processing problems often involve various image modaliti...
read it

Deep Learning Sparse Ternary Projections for Compressed Sensing of Images
Compressed sensing (CS) is a sampling theory that allows reconstruction ...
read it

Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
We consider an online version of the robust Principle Component Analysis...
read it

Multimodal dictionary learning for image separation with application in art investigation
In support of art investigation, we propose a new source separation meth...
read it

Xray image separation via coupled dictionary learning
In support of art investigation, we propose a new source sepa ration me...
read it

Vectors of Locally Aggregated Centers for Compact Video Representation
We propose a novel vector aggregation technique for compact video repres...
read it

AdaptiveRate Sparse Signal Reconstruction With Application in Compressive Background Subtraction
We propose and analyze an online algorithm for reconstructing a sequence...
read it

Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds
We address the problem of Compressed Sensing (CS) with side information....
read it
Nikos Deligiannis
is this you? claim profile