
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important stateofart method is...
08/30/2018 ∙ by Zhiqian Chen, et al. ∙ 4 ∙ shareread it

Performance Evaluation and Modeling of HPC I/O on NonVolatile Memory
HPC applications pose high demands on I/O performance and storage capabi...
05/10/2017 ∙ by Wei Liu, et al. ∙ 0 ∙ shareread it

Revealing structure components of the retina by deep learning networks
Deep convolutional neural networks (CNNs) have demonstrated impressive p...
11/08/2017 ∙ by Qi Yan, et al. ∙ 0 ∙ shareread it

A Generic Framework for Interesting Subspace Cluster Detection in Multiattributed Networks
Detection of interesting (e.g., coherent or anomalous) clusters has been...
09/15/2017 ∙ by Feng Chen, et al. ∙ 0 ∙ shareread it

CaMKII activation supports rewardbased neural network optimization through Hamiltonian sampling
Synaptic plasticity is implemented and controlled through over thousand ...
06/01/2016 ∙ by Zhaofei Yu, et al. ∙ 0 ∙ shareread it

Samplingbased Causal Inference in Cue Combination and its Neural Implementation
Causal inference in cue combination is to decide whether the cues have a...
09/03/2015 ∙ by Zhaofei Yu, et al. ∙ 0 ∙ shareread it

Technical Report: A Generalized Matching Pursuit Approach for GraphStructured Sparsity
Sparsityconstrained optimization is an important and challenging proble...
12/11/2016 ∙ by Feng Chen, et al. ∙ 0 ∙ shareread it

Experimental comparison of singlepixel imaging algorithms
Singlepixel imaging (SPI) is a novel technique capturing 2D images usin...
07/11/2017 ∙ by Liheng Bian, et al. ∙ 0 ∙ shareread it

Technical Report: GraphStructured Sparse Optimization for Connected Subgraph Detection
Structured sparse optimization is an important and challenging problem f...
09/30/2016 ∙ by Baojian Zhou, et al. ∙ 0 ∙ shareread it

Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient
Fourier ptychographic microscopy (FPM) is a novel computational coherent...
03/01/2016 ∙ by Liheng Bian, et al. ∙ 0 ∙ shareread it

Multiframe denoising of high speed optical coherence tomography data using interframe and intraframe priors
Optical coherence tomography (OCT) is an important interferometric diagn...
12/06/2013 ∙ by Liheng Bian, et al. ∙ 0 ∙ shareread it

Training and Inference with Integers in Deep Neural Networks
Researches on deep neural networks with discrete parameters and their de...
02/13/2018 ∙ by Shuang Wu, et al. ∙ 0 ∙ shareread it

A Deep Learning Approach for Privacy Preservation in Assisted Living
In the era of Internet of Things (IoT) technologies the potential for pr...
02/22/2018 ∙ by Ismini Psychoula, et al. ∙ 0 ∙ shareread it

Marked SelfExciting Point Process Modelling of Information Diffusion on Twitter
Information diffusion occurs on microblogging platforms like Twitter as ...
02/26/2018 ∙ by Feng Chen, et al. ∙ 0 ∙ shareread it

Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
As the issue of freshwater shortage is increasing daily, it is critical ...
08/26/2018 ∙ by Bingsheng Wang, et al. ∙ 0 ∙ shareread it

Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Deep convolutional neural networks (CNNs) have demonstrated impressive p...
11/06/2018 ∙ by Qi Yan, et al. ∙ 0 ∙ shareread it

NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
It is widely recognized that the deeper networks or networks with more f...
11/22/2018 ∙ by Shenlong Lou, et al. ∙ 0 ∙ shareread it

Abstraction Learning
There has been a gap between artificial intelligence and human intellige...
09/11/2018 ∙ by Fei Deng, et al. ∙ 0 ∙ shareread it

Convolution with evensized kernels and symmetric padding
Compact convolutional neural networks gain efficiency mainly through dep...
03/20/2019 ∙ by Shuang Wu, et al. ∙ 0 ∙ shareread it

Stochastic Iterative Hard Thresholding for Graphstructured Sparsity Optimization
Stochastic optimization algorithms update models with cheap periteratio...
05/09/2019 ∙ by Baojian Zhou, et al. ∙ 0 ∙ shareread it

Dual Averaging Method for Online Graphstructured Sparsity
Online learning algorithms update models via one sample per iteration, t...
05/26/2019 ∙ by Baojian Zhou, et al. ∙ 0 ∙ shareread it

Subjectivity Learning Theory towards Artificial General Intelligence
The construction of artificial general intelligence (AGI) was a longter...
09/09/2019 ∙ by Xin Su, et al. ∙ 0 ∙ shareread it

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Subjective Logic (SL) is one of wellknown belief models that can explic...
10/12/2019 ∙ by Xujiang Zhao, et al. ∙ 0 ∙ shareread it

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Traditional deep neural nets (NNs) have shown the stateoftheart perfo...
10/15/2019 ∙ by Xujiang Zhao, et al. ∙ 0 ∙ shareread it