Laurent Jacques

3 papers · 2016–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 📈 Trend Setter

Venues

ICLR (1) JMLR (1) NeurIPS (1)

Top co-authors

Julián Tachella (1) Sjoerd Dirksen (1) Martin Genzel (1) Alexander Stollenwerk (1) Mike Davies (1) Kévin Degraux (1) Jalal Fadili (1) Gabriel Peyré (1)

Research topics

Deep Learning (2) Machine Learning (2) Core Methods (2) Optimization & Theory (2) Computer Vision (1) Mathematics & Optimization (1) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization (1) Processing (1)

Keywords

compressed sensing (1) self-supervised learning (1) image reconstruction (1) l1 regularization (1) sparse regression (1) support recovery (1) ℓ1 regularization (1) nonsmooth optimization (1) inverse problem (1) random neural network (1) relu network (1) linear separability (1) noise level estimation (1) non-smooth loss (1) data separation (1) gaussian mean width (1) nonsmooth loss function (1) stein's unbiased risk estimate (1)

Papers

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate ICLR 2025 The Separation Capacity of Random Neural Networks JMLR 2022 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016