Jonathan Bac

Orcid: 0000-0002-8504-5448

According to our database1, Jonathan Bac authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data.
Entropy, January, 2023

2022
Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data.
Bioinform., 2022

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation.
Entropy, 2021

2020
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets.
Entropy, 2020

Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph.
Entropy, 2020

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data.
CoRR, 2020

Local intrinsic dimensionality estimators based on concentration of measure.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional Datasets.
Frontiers Neurorobotics, 2019

Estimating the effective dimension of large biological datasets using Fisher separability analysis.
Proceedings of the International Joint Conference on Neural Networks, 2019


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