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Michael Zibulevsky

4 papers · 2003–2019 · 4 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

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+3 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Full πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Venues

ICCV (1) JMLR (1) MIDL (1) NeurIPS (1)

Top co-authors

Oleg Michailovich (1) Yonathan Aflalo (1) Elad Richardson (1) Pavel Kisilev (1) Alex Bronstein (1) Grigoriy Zurakhov (1) Rom Herskovitz (1) Gil Shamai (1) Ortal Senouf (1) Yehoshua Y. Zeevi (1)

Research topics

Machine Learning (3) Deep Learning (2) Mathematics & Optimization (2) Optimization (2) Optimization & Theory Β· Machine Learning (2) Computer Vision (1) Bayesian & Probabilistic (1) Domain-Specific (1) Learning Types (1) Mathematics (1) Optimization & Theory Β· Deep Learning (1) Techniques (1)

Keywords

deep learning (2) blind source separation (1) signal separation (1) sparse representation (1) hyperparameter optimization (1) medical imaging (1) image reconstruction (1) ultrasound imaging (1) maximum likelihood (1) spectral analysis (1) low-dimensional embedding (1) wavelet packet (1) quasi-maximum likelihood (1) multiscale decomposition (1) laplace-beltrami operator (1) multidimensional scaling (1) distance function (1) neural network (1) distance embedding (1) stochastic optimization (1)

Papers

Learning beamforming in ultrasound imaging MIDL 2019 SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques NeurIPS 2016 Classical Scaling Revisited ICCV 2015 A Multiscale Framework For Blind Separation of Linearly Mixed Signals JMLR 2003