Marco Pegoraro

2 papers · 2024–2024 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AISTATS (1) NeurIPS (1)

Top co-authors

Emanuele Rodolà (2) Francesco Locatello (1) Valentino Maiorca (1) Alex Bronstein (1) Marco Fumero (1) Sanketh Vedula (1) Aviv A Rosenberg (1) Irene Tallini (1)

Research topics

Machine Learning (2) Core Methods (2) Deep Learning (1) Mathematics & Optimization (1) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1) Optimization (1)

Keywords

manifold learning (2) representation learning (1) metric learning (1) transfer learning (1) domain adaptation (1) optimal transport (1) quantile regression (1) distributional regression (1) conditional quantile (1) representation alignment (1) spectral geometry (1) functional map (1) optimal transport theory (1) vector quantile function (1) unsupervised learning (1) functional domain (1)

Papers

Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Vector Quantile Regression on Manifolds AISTATS 2024