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Chrysoula Kosma
Observed name:
Kosma, Chrysoula
Institutions:
Centre National de la Recherche Scientifique,
Inserm,
Université Paris Cité,
Université Paris-Saclay,
Centre Borelli
Observed institutions:
Centre National de la Recherche Scientifique,
École Polytechnique,
Inserm,
Université Paris Cité,
Université Paris-Saclay,
Institut Polytechnique de Paris,
Centre Borelli
show all 7
ORCID:
0000-0003-4255-4485
Observed ORCID:
0000-0003-4255-4485
OpenAlex ID:
A5013281995
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
2024
·
Nancy Xu
, Chrysoula Kosma
, et al.
·
Studies in computational intelligence
·
27
PDF
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series
2023
·
Kosma, Chrysoula
, Nikolentzos, Giannis
, et al.
·
arXiv (Cornell University)
·
12
PDF
Time Series Forecasting Models Copy the Past: How to Mitigate
2022
·
Chrysoula Kosma
, Giannis Nikolentzos
, et al.
·
Lecture notes in computer science
·
11
PDF
Aitchison Embeddings for Learning Compositional Graph Representations
2026
·
Nakis, Nikolaos
, Kosma, Chrysoula
, et al.
·
arXiv (Cornell University)
·
2
PDF
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
2024
·
Nakis, Nikolaos
, Kosma, Chrysoula
, et al.
·
arXiv (Cornell University)
·
1
PDF
Remaining useful life data-driven estimation: a selective evaluation and analysis
2026
·
Maxime Dehondt
, Chrysoula Kosma
, et al.
·
Signal Processing
Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
2026
·
Nakis, Nikolaos
, Kosma, Chrysoula
, et al.
·
arXiv (Cornell University)
PDF
Time Series Representations with Hard-Coded Invariances
2025
·
Germain, Thibaut
, Kosma, Chrysoula
, et al.
·
HAL
The signed two-space proximity model for learning representations in protein–protein interaction networks
2025
·
Nikolaos Nakis
, Chrysoula Kosma
, et al.
·
Bioinformatics
Towards Robust Deep Learning Methods for Time Series Data and their Applications
2023
·
Chrysoula Kosma
·
theses.fr (ABES)
PDF
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Works count:
10
Citation count:
53
H-index:
3
I10-index:
3
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