Jonathan Bac

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Dimensionality Reduction

Pairwise Distances

Intrinsic Dimension

Dimensional Data

Top Venues

Publications

Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. Entropy 25 (1) (2023)
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN (2022)
Elise Amblard, Jonathan Bac, Alexander Chervov, Vassili Soumelis, Andrei Yu. Zinovyev
Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data. Bioinform. 38 (4) (2022)
Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data. CoRR (2022)
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR (2022)
Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Entropy 23 (10) (2021)
Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev
Scikit-dimension: a Python package for intrinsic dimension estimation. CoRR (2021)
Alexander Chervov, Jonathan Bac, Andrei Yu. Zinovyev
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets. Entropy 22 (11) (2020)
Jonathan Bac, Andrei Yu. Zinovyev
Local intrinsic dimensionality estimators based on concentration of measure. CoRR (2020)
Luca Albergante, Evgeny M. Mirkes, Jonathan Bac, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. Entropy 22 (3) (2020)
Jonathan Bac, Andrei Yu. Zinovyev
Local intrinsic dimensionality estimators based on concentration of measure. IJCNN (2020)
Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Yu. Zinovyev
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. CoRR (2020)
Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev
Estimating the effective dimension of large biological datasets using Fisher separability analysis. IJCNN (2019)
Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev
Estimating the effective dimension of large biological datasets using Fisher separability analysis. CoRR (2019)
Jonathan Bac, Andrei Yu. Zinovyev
Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional Datasets. Frontiers Neurorobotics 13 (2019)