Jacob Leygonie

University of Oxford — United Kingdom

Computer Science · Physical Sciences

5h-index52citations20works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Topological and Geometric Data Analysis(14), Homotopy and Cohomology in Algebraic Topology(9), Algebraic structures and combinatorial models(3), Spectroscopy and Quantum Chemical Studies(3), Quantum many-body systems(3)

Publications20 total

The fiber of persistent homology for trees
Journal of Applied and Computational Topology·2025Open Access
Fibers of point cloud persistence
arXiv (Cornell University)·2024Open Access
Algorithmic reconstruction of the fiber of persistent homology on cell complexes
Journal of Applied and Computational Topology·2024· 1 citedOpen Access
The fiber of persistent homology for trees
arXiv (Cornell University)·2023· 1 citedOpen Access
A gradient sampling algorithm for stratified maps with applications to topological data analysis
Mathematical Programming·2023· 1 citedOpen Access
Fiber of persistent homology on morse functions
Journal of Applied and Computational Topology·2022· 4 citedOpen Access
The fiber of persistent homology for simplicial complexes
Journal of Pure and Applied Algebra·2022· 9 citedOpen Access
Differential and fiber of persistent homology
Oxford University Research Archive (ORA) (University of Oxford)·2022Open Access
Algorithmic Reconstruction of the Fiber of Persistent Homology on Cell Complexes
arXiv (Cornell University)·2021Open Access
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis
arXiv (Cornell University)·2021Open Access
Fiber of Persistent Homology on Morse functions
arXiv (Cornell University)·2021Open Access
A Framework for Differential Calculus on Persistence Barcodes
Foundations of Computational Mathematics·2021· 8 citedOpen Access
Optimization of Spectral Wavelets for Persistence-Based Graph Classification
Frontiers in Applied Mathematics and Statistics·2021· 7 citedOpen Access
The Fiber of Persistent Homology for simplicial complexes
arXiv (Cornell University)·2021Open Access
Optimisation of Spectral Wavelets for Persistence-based Graph Classification
arXiv (Cornell University)·2021Open Access
Machine learning and signed particles, an alternative and efficient way to simulate quantum systems
International Journal of Quantum Chemistry·2019· 1 cited
Adversarial Computation of Optimal Transport Maps
arXiv (Cornell University)·2019· 15 citedOpen Access
Signed particles and neural networks, towards efficient simulations of quantum systems
Journal of Computational Physics·2019· 5 cited
Combining neural networks and signed particles to simulate quantum systems more efficiently, Part III
arXiv (Cornell University)·2018Open Access
Combining neural networks and signed particles to simulate quantum systems more efficiently, Part II
arXiv (Cornell University)·2018Open Access

Frequent Co-authors

David R. Beers(5), Jean Michel Sellier(4), Gaétan Marceau Caron(4), Ulrike Tillmann(3), Steve Oudot(3), Ka Man Yim(2), Gregory Henselman‐Petrusek(2), Mathieu Carrière(2), Théo Lacombe(2), Jennifer She(1), Amjad Almahairi(1), Sai Rajeswar(1), Aaron Courville(1), Kristina Kapanova(1), Heather A. Harrington(1), Uzu Lim(1), Louis Theran(1)