David LOISEAUX

9
Documents
Affiliation actuelle
  • La Géometrie au Service du Numérique (GEOMERIX)

Publications

Publications

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Estimating the persistent homology of $\mathbb{R}^n$-valued functions using function-geometric multifiltrations

Ethan André , Jingyi Li , David Loiseaux , Steve Oudot

SoCG 2026 - 42nd Annual Symposium on Computational Geometry, Jun 2026, New Brunswick, NJ, United States

Communication dans un congrès hal-05585715v1
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Pulp Motion: framing-aware multimodal camera and human motion generation

Robin Courant , Xi Wang , David Loiseaux , Marc Christie , Vicky Kalogeiton

ICLR 2026 - International Conference on Learning Representations, Apr 2026, Rio De Janeiro, Brazil

Communication dans un congrès hal-05584176v1
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T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning

Julie Mordacq , David Loiseaux , Vicky Kalogeiton , Steve Oudot

NeurIPS 2025 - Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (CA), United States

Communication dans un congrès hal-05433730v1
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Differentiability and Optimization of Multiparameter Persistent Homology

Luis Scoccola , Siddharth Setlur , David Loiseaux , Mathieu Carrière , Steve Oudot

ICML 2024 - The Forty-First International Conference on Machine Learning, Jul 2024, Wien, Austria

Communication dans un congrès hal-04609272v1

A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions

David Loiseaux , Mathieu Carrière , Andrew J. Blumberg

NeurIPS 2023 - 36th Conference on Neural Information Processing Systems, Dec 2023, New Orleans (LA), United States

Communication dans un congrès hal-04135811v1

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures

David Loiseaux , Luis Scoccola , Mathieu Carrière , Magnus Bakke Botnan , Steve Oudot

NeurIPS 2023 - 36th Conference on Neural Information Processing Systems, Dec 2023, New Orleans (LA), United States

Communication dans un congrès hal-04133009v1
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Multiparameter topological persistence for machine learning

David Loiseaux

Computational Geometry [cs.CG]. Université Côte d'Azur, 2024. English. ⟨NNT : 2024COAZ4051⟩

Thèse tel-04987893v1