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CORDIS

Real-time inversion using self-explainable deep learning driven by expert knowledge

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations (opens in new window)

Author(s): Magdalena Pabisz, Dominika Ciupek, Askold Vilkha, Maciej Paszyński
Published in: Lecture Notes in Computer Science, Computational Science – ICCS 2025 Workshops, 2025, ISBN 978-3-031-97554-7
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97554-7_10

Tensorial Implementation for Robust Variational Physics-Informed Neural Networks (opens in new window)

Author(s): Askold Vilkha, Carlos Uriarte, Paweł Maczuga, Tomasz Służalec, Maciej Paszyński
Published in: Lecture Notes in Computer Science, Computational Science – ICCS 2025, 2025, ISBN 978-3-031-97626-1
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97626-1_5

Collocation-based robust variational physics-informed neural networks (CRVPINNs) (opens in new window)

Author(s): Marcin Łoś, Tomasz Służalec, Paweł Maczuga, Askold Vilkha, Carlos Uriarte, Maciej Paszyński
Published in: Computers & Structures, Issue 316, 2025, ISSN 0045-7949
Publisher: Elsevier BV
DOI: 10.1016/J.COMPSTRUC.2025.107839

Computer Methods in Applied Mechanics and Engineering (opens in new window)

Author(s): Shima Baharlouei; Jamie M. Taylor; Carlos Uriarte; David Pardo
Published in: Computer Methods in Applied Mechanics and Engineering, 2024, ISSN 0045-7825
Publisher: Elsevier BV
DOI: 10.2139/SSRN.5004047

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