Aude Genevay

7 papers · 2016–2021 · 3 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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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze

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Venues

NeurIPS (4) AISTATS (2) UAI (1)

Top co-authors

Justin M Solomon (3) Lingxiao Li (3) Marco Cuturi (3) Gabriel Peyré (3) Francis Bach (2) Alexander Korotin (2) Evgeny Burnaev (2) Gaspard Beugnot (1) Kristjan Greenewald (1) Justin Solomon (1)

Research topics

Machine Learning (7) Mathematics & Optimization (6) Optimization & Theory (6) Optimization (5) Mathematics (4) Deep Learning (3) Models (3) Architectures (2) Core Methods (2) Application Areas (1) Bayesian & Probabilistic (1)

Keywords

optimal transport (6) stochastic gradient descent (3) input convex neural network (2) sinkhorn divergence (2) entropic regularization (2) wasserstein distance (2) probability density (1) maximum mean discrepancy (1) probability measure (1) sinkhorn algorithm (1) generative model (1) approximation algorithm (1) entropy regularization (1) fokker-planck equation (1) wasserstein barycenter (1) transport map (1) energy distance (1) entropic smoothing (1) wasserstein gradient flow (1) kernel methods (1)

Papers

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 Improving approximate optimal transport distances using quantization UAI 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Continuous Regularized Wasserstein Barycenters NeurIPS 2020 Sample Complexity of Sinkhorn Divergences AISTATS 2019 Learning Generative Models with Sinkhorn Divergences AISTATS 2018 Stochastic Optimization for Large-scale Optimal Transport NeurIPS 2016