599 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Nationale Supérieure des Mines de ParisFR13 papers
- InsermFR11 papers
- Institut CurieFR11 papers
- Université Paris Sciences et LettresFR9 papers
- Cancer et génome: Bioinformatique, biostatistiques et épidémiologie des systèmes complexes6 papers
- École Normale Supérieure - PSLFR5 papers
- University of LeicesterGB5 papers
- N. I. Lobachevsky State University of Nizhny NovgorodRU4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Département de mathématiques et applicationsFR3 papers
- Mathématiques Appliquées à Paris 5FR2 papers
- Broad InstituteUS1 paper
3 papers · 1 filter
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes, Jonathan Bac, Aziz Fouché +3
Domain adaptation is a popular paradigm in modern machine learning which aims at tackling the problem of divergence (or shift) between the labeled training and validation datasets…
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban +2
Dealing with uncertainty in applications of machine learning to real-life data critically depends on the knowledge of intrinsic dimensionality (ID). A number of methods have been s…
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Luca Albergante, Evgeny M. Mirkes, Huidong Chen +6
Large datasets represented by multidimensional data point clouds often possess non-trivial distributions with branching trajectories and excluded regions, with the recent single-ce…