David Loiseaux

According to our database, David Loiseaux authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

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