Samuel Gerber

5 papers · 2010–2025 · 4 venues · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11)

🧭 Keyword Pioneer 📈 Trend Setter

Venues

JMLR (2) ECCV (1) MICCAI (1) NeurIPS (1)

Top co-authors

Michiel Schaap (1) Zhengyang Shen (1) Arvind Agarwal (1) Tian Xia (1) Zhenlin Xu (1) Ben Glocker (1) Sahin Olut (1) Esther Puyol-Antón (1) Andreas Schuh (1) Hal Daume (1)

Research topics

Machine Learning (2) Mathematics & Optimization (2) Core Methods (2) Optimization (2) Artificial Intelligence (1) Learning Paradigms (1) Learning Types (1) Mathematics (1) Optimization & Theory (1)

Keywords

dimensionality reduction (1) multi-task learning (1) feature learning (1) model selection (1) manifold learning (1) transfer learning (1) convex optimization (1) manifold regularization (1) optimal transport (1) gradient descent (1) alternating optimization (1) task parameters (1) task parameter sharing (1) matrix sketching (1) shared representation (1) brain mri (1) multi-scale algorithm (1) multiscale method (1) computational anatomy (1) adaptive decomposition (1)

Papers

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis MICCAI 2025 Adversarial Data Augmentation via Deformation Statistics ECCV 2020 Multiscale Strategies for Computing Optimal Transport JMLR 2017 Regularization-Free Principal Curve Estimation JMLR 2013 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010