Post Archive

Julia went to the ICCV 2019 conference and brought to us some thoughts on tensor methods in deep learning and hypernets that inspired her. Here are the highlights of the some interesting topics in the field.

Applications of neural networks in solving differential equations

Modern Machine Learning on Graphs

Music & Voice translation

Intro to Google Earth Engine and Crop Classification based on Multispectral Satellite Images

Selfie: Self-supervised Pretraining for Image Embedding

Cross approximation of the solution of the Fokker-Planck equation

Some thoughts about modelling aggregation

Adversarial point set registration

Efficient methods for elliptic problems in heterogeneous media with applications

Microstructure Synthesis via Neural Networks

From splitting schemes for ODE to stochastic optimization

Normalizing Flows

Shift optimization for matrix exponential computing

Versatile Enhancement in Dynamic Resource Optimization in 5G networks

Enhancement of artificial neural networks based on $H^2$ - matrices

Fast new algorithms for computation of Higher Order SVD (HOSVD): Randomized algorithms

Faster R-CNN: code approach

Generalization of low rank approximation approach for hybrid recommender systems

Recent Works on Optimal Transport

MaxVol sampling for agricultural survey

Mirror Descent: from theory to practice

Quantum annealing: machine learning perspective