David Loiseaux

Publications & Preprint

1. DL., M. Carrière, A.J. Blumberg. Multi-parameter Module Approximation: an efficient and interpretable invariant for multi-parameter persistence modules with guarantees, JACT.
   
2. DL., M. Carrière, A.J. Blumberg, A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions, NeurIPS 2023.
3. DL., L. Scoccola, M. Carrière, M.B. Botnan, S. Oudot, Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures, NeurIPS 2023.
4. L. Scoccola, S. Setlur, DL, M. Carrière, S. Oudot, Differentiability and Optimization of Multiparameter Persistent Homology, ICML 2024.
5. DL, H. Schreiber, multipers: Multiparameter Persistence for Machine Learning, JOSS. [website].
   
6. J. Mordacq D. L., V. Kalogeiton, S. Oudot, T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning, NeurIPS spotlight 2025. [website]
   
7. R. Courant, X. Wang, D. L., M. Christie, V. Kalogeiton Pulp Motion: Framing-aware multimodal camera and human motion generation, arxiv preprint. [website].

Software

• I am a member of the Gudhi library. I mostly contribute to code related to multiparameter persistence, and the python interface.
• I actively develop my library multipers which contains the code related to my multiparameter persistence contributions and more! The code repository is currently hosted on GitHub.

  			>>> pip install multipers