David Loiseaux

According to our database, David Loiseaux authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Estimating the Persistent Homology of ℝⁿ-Valued Functions Using Function-Geometric Multifiltrations.

Ethan André, Jingyi Li, David Loiseaux, Steve Oudot

Proceedings of the 42nd International Symposium on Computational Geometry, 2026

2025

Multi-parameter Module Approximation: an efficient and interpretable invariant for multi-parameter persistence modules with guarantees.

David Loiseaux, Mathieu Carrière, Andrew J. Blumberg

J. Appl. Comput. Topol., December, 2025

T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning.

Julie Mordacq, David Loiseaux, Vicky Kalogeiton, Steve Oudot

CoRR, October, 2025

Pulp Motion: Framing-aware multimodal camera and human motion generation.

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

CoRR, October, 2025

2024

Multiparameter topological persistence for machine learning. (Persistance topologique multiparamétrée pour l'apprentissage statistique).

David Loiseaux

PhD thesis, 2024

multipers : Multiparameter Persistence for Machine Learning.

David Loiseaux, Hannah Schreiber

J. Open Source Softw., 2024

Differentiability and Optimization of Multiparameter Persistent Homology.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

David Loiseaux, Mathieu Carrière, Andrew J. Blumberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient Approximation of Multiparameter Persistence Modules.

David Loiseaux, Mathieu Carrière, Andrew J. Blumberg

CoRR, 2022