Tag Archive

• Deep Learning 10
• Neural Networks 7
• Tensor Factorization 6
• Optimization 5
• Matrix Factorization 4
• ODE 4
• Generative Models 2
• HOSVD 2
• ML 2
• Probability 2
• Randomization 2
• Recommender Systems 2
• 3D 1
• 5g 1
• Acoustics 1
• Advsersarial 1
• Computer Vision 1
• Dynamical Systems 1
• Fokker-Planck 1
• Graphs 1
• HPC 1
• Helmholtz 1
• Hyperbolic Spaces 1
• Image Quilting 1
• Krylov Methods 1
• MaxVol 1
• Microstructures 1
• Music Translation 1
• Pseudo Spectrum 1
• PyTorch 1
• Quantum Computers 1
• Satellite Images 1
• Scheduling 1
• Self Supervised 1
• Soil 1
• Transport 1
• Unsupervised Learning 1

Deep Learning

Hyperbolic image embeddings

Thoughts from ICCV 2019

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

From splitting schemes for ODE to stochastic optimization

Faster R-CNN: code approach

Mirror Descent: from theory to practice

Quantum annealing: machine learning perspective

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Neural Networks

Hyperbolic image embeddings

Thoughts from ICCV 2019

Applications of neural networks in solving differential equations

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

Normalizing Flows

Versatile Enhancement in Dynamic Resource Optimization in 5G networks

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

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Tensor Factorization

Randomized Algorithms for Canonical Polyadic Decomposition

Thoughts from ICCV 2019

Modern Machine Learning on Graphs

Cross approximation of the solution of the Fokker-Planck equation

Some thoughts about modelling aggregation

Generalization of low rank approximation approach for hybrid recommender systems

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Optimization

From splitting schemes for ODE to stochastic optimization

Shift optimization for matrix exponential computing

Recent Works on Optimal Transport

Mirror Descent: from theory to practice

Quantum annealing: machine learning perspective

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Matrix Factorization

Shift optimization for matrix exponential computing

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

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

Generalization of low rank approximation approach for hybrid recommender systems

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ODE

Applications of neural networks in solving differential equations

Cross approximation of the solution of the Fokker-Planck equation

Some thoughts about modelling aggregation

From splitting schemes for ODE to stochastic optimization

Back to Top ↑

Generative Models

Microstructure Synthesis via Neural Networks

Normalizing Flows

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HOSVD

Randomized Algorithms for Canonical Polyadic Decomposition

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

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ML

Adversarial point set registration

MaxVol sampling for agricultural survey

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Probability

Normalizing Flows

Temporal Models for Polyadic Events

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Randomization

Randomized Algorithms for Canonical Polyadic Decomposition

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

Back to Top ↑

Recommender Systems

Generalization of low rank approximation approach for hybrid recommender systems

Temporal Models for Polyadic Events

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3D

Adversarial point set registration

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5g

Versatile Enhancement in Dynamic Resource Optimization in 5G networks

Back to Top ↑

Acoustics

Efficient methods for elliptic problems in heterogeneous media with applications

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Advsersarial

Adversarial point set registration

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Computer Vision

Selfie: Self-supervised Pretraining for Image Embedding

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Dynamical Systems

Applications of neural networks in solving differential equations

Back to Top ↑

Fokker-Planck

Cross approximation of the solution of the Fokker-Planck equation

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Graphs

Modern Machine Learning on Graphs

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HPC

Some thoughts about modelling aggregation

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Helmholtz

Efficient methods for elliptic problems in heterogeneous media with applications

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Hyperbolic Spaces

Hyperbolic image embeddings

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Image Quilting

Microstructure Synthesis via Neural Networks

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Krylov Methods

Shift optimization for matrix exponential computing

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MaxVol

MaxVol sampling for agricultural survey

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Microstructures

Microstructure Synthesis via Neural Networks

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Music Translation

Music & Voice translation

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Pseudo Spectrum

Efficient methods for elliptic problems in heterogeneous media with applications

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PyTorch

Faster R-CNN: code approach

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Quantum Computers

Quantum annealing: machine learning perspective

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Satellite Images

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

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Scheduling

Versatile Enhancement in Dynamic Resource Optimization in 5G networks

Back to Top ↑

Self Supervised

Selfie: Self-supervised Pretraining for Image Embedding

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Soil

MaxVol sampling for agricultural survey

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Transport

Recent Works on Optimal Transport

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Unsupervised Learning

Music & Voice translation

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