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Matan Leibovich

2 papers · 2022–2023 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (2)

Top co-authors

Carlos Fernandez-Granda (2) Sreyas Mohan (2) Aakash Kaku (1) Sheng Liu (1) Peter Crozier (1) Narges Razavian (1) Jonathan Niles-Weed (1) Joshua Lawrence Vincent (1) Adria Marcos Morales (1) Haoxiang Huang (1)

Research topics

Computer Vision (2) Machine Learning (2) Deep Learning (1) Architectures (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Processing (1)

Keywords

image restoration (1) uncertainty quantification (1) epistemic uncertainty (1) probability estimation (1) mean squared error (1) deep neural network (1) aleatoric uncertainty (1) histopathology image (1) synthetic noise (1) radar image (1) unsupervised denoising (1) peak signal-to-noise ratio (1) unsupervised metric (1)

Papers

Evaluating Unsupervised Denoising Requires Unsupervised Metrics ICML 2023 Deep Probability Estimation ICML 2022