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14 résultats
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triés par
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An Interpolating Distance between Optimal Transport and Fisher-RaoFoundations of Computational Mathematics, 2010
Article dans une revue
hal-01271984v1
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Unbalanced Optimal Transport : Models, Numerical Methods, ApplicationsNumerical Analysis [math.NA]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLED063⟩
Thèse
tel-01881166v1
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Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic LossCOLT 2020 - 33rd Annual Conference on Learning Theory, Jul 2020, Graz / Virtual, Austria. pp.1305-1338
Communication dans un congrès
hal-02473847v4
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Quantum entropic regularization of matrix-valued optimal transportEuropean Journal of Applied Mathematics, 2019, 30 (6), pp.1079-1102. ⟨10.1017/S0956792517000274⟩
Article dans une revue
hal-02411783v1
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Scaling Algorithms for Unbalanced Transport ProblemsMathematics of Computation, 2018
Article dans une revue
hal-01434914v1
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Unbalanced Optimal Transport: Geometry and Kantorovich Formulation2015
Pré-publication, Document de travail
hal-01271981v1
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Sparse Optimization on Measures with Over-parameterized Gradient Descent2020
Pré-publication, Document de travail
hal-02190822v2
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A tumor growth model of Hele-Shaw type as a gradient flowESAIM: Control, Optimisation and Calculus of Variations, 2020
Article dans une revue
hal-02997871v1
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On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal TransportAdvances in Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada
Communication dans un congrès
hal-01798792v2
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Sample Complexity of Sinkhorn divergencesAISTATS'19 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Okinawa, Japan
Communication dans un congrès
hal-02411822v1
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On Lazy Training in Differentiable ProgrammingNeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947
Communication dans un congrès
hal-01945578v6
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Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal TransportNIPS Workshop on Optimal Transport & Machine Learning (OTML'17), Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01629985v1
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Faster Wasserstein Distance Estimation with the Sinkhorn DivergenceNeurIPS 2020, Dec 2020, Vancouver, Canada. pp.2257-2269
Communication dans un congrès
hal-02867271v2
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HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience modelsComputational Geosciences, 2019, 23 (4), pp.723-743. ⟨10.1007/s10596-019-9816-2⟩
Article dans une revue
hal-01857997v3
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