Raif Rustamov

2 papers · 2013–2014 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+1 more ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

📈 Trend Setter

Venues

ICML (1) NeurIPS (1)

Top co-authors

Leonidas Guibas (2) Adrian Butscher (1) Justin Solomon (1)

Research topics

Machine Learning (2) Mathematics & Optimization (2) Core Methods (2) Learning Types · Machine Learning (2) Mathematics (2) Computer Science (1) Deep Learning (1) Architectures (1) Foundations (1) Learning Types · Deep Learning (1) Optimization & Theory (1) Techniques (1)

Keywords

wasserstein distance (1) unsupervised learning (1) semi-supervised learning (1) sparse representation (1) optimal transport (1) wavelet transform (1) signal processing (1) graph-based learning (1) lifting scheme (1) graph signal processing (1) graph signal (1) deep autoencoder (1) optimal transportation (1) manifold-valued data (1) greedy pretraining (1) graph wavelet (1) autoencoder network (1)

Papers

Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Wavelets on Graphs via Deep Learning NeurIPS 2013