Artificial Intelligence for the Sciences

Project Information

AI4theSciences

Grant agreement ID: 945304

DOI

10.3030/945304

EC signature date 25 April 2020

Start date 1 October 2020

End date 30 September 2026

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 4 230 720,00

EU contribution

€ 2 115 360,00

Coordinated by

UNIVERSITE PARIS SCIENCES ET LETTRES
France

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

Thesis and dissertations (14)

Hemodynamic Modelling and Simulation of Flow Diverters for Intracranial Aneurysm Treatment

Author(s): Pablo Jeken Rico
Published in: 2024
Publisher: CEMEF - Centre de Mise en Forme des Matériaux ( 1158 )

Towards neuromorphic computing on quantum many-body architectures : VO2 transition dynamics

Author(s): Alzate Banguero, Melissa
Published in: 2024
Publisher: LPEM - Laboratoire de Physique et d'Etude des Matériaux (UMR 8213) ( 541959 )

Machine Learning for Origin of Life in the RNA world

Author(s): CALVANESE Francesco
Published in: 2024
Publisher: ESPCI-PSL

Impact of Deep Generative Models for solving non-linear Inverse Problems : application to Seismic Imaging

Author(s): Yuke Xie
Published in: 2025
Publisher: GEOSCIENCES - Centre de Géosciences ( 43221 )

Quantitative Self-Selection for the Inference of Biophysical Models

Author(s): VAN TONGEREN Mats
Published in: 2025
Publisher: CHIMIE PARIS-PSL

Learning dynamics in biological and artificial neural networks

Author(s): ORHAN Pierre
Published in: 2025
Publisher: ENS-PSL

Language representations in deep learning algorithms and the brain

Author(s): Charlotte Caucheteux
Published in: 2023
Publisher: MIND - Modèles et inférence pour les données de Neuroimagerie ( 1124248 )

An Artificial Intelligence approach to studying dolphin communication

Author(s): SEMEZIN Chiara
Published in: 2025
Publisher: ENS-PSL

Language acquisition in brains and deep learning algorithms

Author(s): EVANSON Linnea
Published in: 2024
Publisher: ENS-PSL

Market behaviour from traders’ cognitive traits:A multi-agent human reinforcement learning approach

Author(s): VRIZZI Stefano
Published in: 2024
Publisher: ENS-PSL

Advanced Methods for Enhancing the Interpretability of AI tools in the Energy Sector

Author(s): Konstantinos Parginos
Published in: 2025
Publisher: PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( 214579 )

Designing novel machine learning techniques to address the volume and complexity of the Rubin LSST data : separation of blended galaxies and transients classification in alert streams

Author(s): Biswajit Biswas
Published in: 2024
Publisher: APC (UMR_7164) - AstroParticule et Cosmologie ( 1004962 )

Machine Learning for marine biodiversity monitoring through eDNA Metabarcoding

Author(s): LAMPERTI Letizia
Published in: 2024
Publisher: EPHE-PSL

AI-based Methods for Inverse Problems in Biological Cell Systems

Author(s): PASQUI Alessandro
Published in: 2025
Publisher: MINES PARIS-PSL

Peer reviewed articles (14)

MADNESS deblender. Maximum A posteriori with Deep NEural networks for Source Separation

Author(s): B. Biswas, E. Aubourg, A. Boucaud, A. Guinot, J. Lao, C. Roucelle, null null
Published in: Astronomy & Astrophysics, 2025, ISSN 0004-6361
Publisher: Springer Verlag
DOI: 10.1051/0004-6361/202451887

Describing vocalizations in young children: A big data approach through citizen science annotation.

Author(s): Semenzin, C., Hamrick, L, Seidl, A., Kelleher, B.L., Cristia, A. (2021)
Published in: Journal of Speech, Language, and Hearing Research., 2021, ISSN 1092-4388
Publisher: American Speech-Language-Hearing Association
DOI: 10.1044/2021_jslhr-20-00661

Towards parsimonious generative modeling of RNA families

Author(s): Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Published in: Nucleic Acids Research, Issue 52, 2024, Page(s) 5465-5477, ISSN 0305-1048
Publisher: Oxford University Press
DOI: 10.1093/nar/gkae289

Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

Author(s): Johann Lussange, Stefano Vrizzi, Stefano Palminteri, Boris Gutkin
Published in: PLOS ONE, Issue 19, 2024, Page(s) e0301141, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0301141

Enabling the discovery of fast transients

Author(s): B. Biswas, E. E. O. Ishida, J. Peloton, A. Möller, M. V. Pruzhinskaya, R. S. de Souza, D. Muthukrishna
Published in: Astronomy & Astrophysics, Issue 677, 2023, Page(s) A77, ISSN 0004-6361
Publisher: Springer Verlag
DOI: 10.1051/0004-6361/202245340

Scarcity events analysis in adequacy studies using CN2 rule mining.

Author(s): Fabian Heymann Ricardo Bessa Mario Liebensteiner Konstantinos Parginos Juan Carlos Martin Hinojar Pablo Duenas
Published in: Energy and AI, 2022, ISSN 2666-5468
Publisher: Elsevier Ltd
DOI: 10.1016/j.egyai.2022.100154

Optical Mapping and On-Demand Selection of Local Hysteresis Properties in VO2

Author(s): Melissa Alzate Banguero, Sayan Basak, Nicolas Raymond, Forrest Simmons, Pavel Salev, Ivan K. Schuller, Lionel Aigouy, Erica W. Carlson, Alexandre Zimmers
Published in: Condensed Matter, Issue 10, 2025, Page(s) 12, ISSN 2410-3896
Publisher: MDPI AG
DOI: 10.3390/condmat10010012

Spatially Distributed Ramp Reversal Memory in VO₂

Author(s): Sayan Basak, Yuxin Sun, Melissa Alzate Banguero, Pavel Salev, Ivan K. Schuller, Lionel Aigouy, Erica W. Carlson, Alexandre Zimmers
Published in: Advanced Electronic Materials, Issue 9, 2025, ISSN 2199-160X
Publisher: Wiley
DOI: 10.1002/aelm.202300085

Deep learning Hamiltonians from disordered image data in quantum materials

Author(s): S. Basak, M. Alzate Banguero, L. Burzawa, F. Simmons, P. Salev, L. Aigouy, M. M. Qazilbash, I. K. Schuller, D. N. Basov, A. Zimmers, E. W. Carlson
Published in: Physical Review B, Issue 107, 2023, ISSN 2469-9950
Publisher: American Physical Society (APS)
DOI: 10.1103/physrevb.107.205121

Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model.

Author(s): Johann Lussange, Stefano Vrizzi, Sacha Bourgeois-Gironde, Stefano Palminteri & Boris Gutkin 
Published in: Comput Econ, 2022, ISSN 0927-7099
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10614-022-10249-3

Tuning the Resistance of a VO₂ Junction by Focused Laser Beam and Atomic Force Microscopy

Author(s): Zhuoqun Fang, Melissa Alzate‐Banguero, Amit R. Rajapurohita, Forrest Simmons, Erica W. Carlson, Zhuoying Chen, Lionel Aigouy, Alexandre Zimmers
Published in: Advanced Electronic Materials, Issue 11, 2025, ISSN 2199-160X
Publisher: Wiley
DOI: 10.1002/aelm.202400249

Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics

Author(s): Stefano Vrizzi, Anis Najar, Cédric Lemogne, Stefano Palminteri, Mael Lebreton
Published in: Nature Mental Health, Issue 3, 2025, Page(s) 654-666, ISSN 2731-6076
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/s44220-025-00427-1

Evaluating the Impact of Domain Boundaries on Hemodynamics in Intracranial Aneurysms within the Circle of Willis

Author(s): Pablo Jeken-Rico, Aurèle Goetz, Philippe Meliga, Aurélien Larcher, Yigit Özpeynirci, Elie Hachem
Published in: Fluids, Issue 9, 2025, Page(s) 1, ISSN 2311-5521
Publisher: MDPI AG
DOI: 10.3390/fluids9010001

Citizen Science and Artificial Intelligence in Horizon 2020 and Horizon Europe Projects: Communication and Scientific Impact

Author(s): null Concepción Campillo-Alhama, null Alba Santa-Soriano, null Rosa M. Torres-Valdés
Published in: Profesional de la información, Issue 33, 2024, ISSN 1386-6710
Publisher: Swets & Zeitlinger
DOI: 10.3145/epi.2024.0417

Conference proceedings (7)

Towards increased interpretability of AI-tools in the energy sector with focus on the wind energy trading application

Author(s): Konstantinos Parginos , Simon Camal , George Kariniotakis , Ricardo J. Bessa
Published in: 2022
Publisher: WindEurope Technology Workshop 2022

Interpretable data-driven solar power plant trading strategies

Author(s): Konstantinos Parginos, Ricardo J. Bessa, Simon Camal, Georges Kariniotakis
Published in: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2022
Publisher: https://ieee-isgt-europe.org/
DOI: 10.1109/isgt-europe54678.2022.9960432

Interpretable data-driven solar power plant trading strategies

Author(s): Konstantinos Parginos , Ricardo J. Bessa , Simon Camal , Georges Kariniotakis
Published in: 2022
Publisher: IEEE PES ISGT EUROPE 2022, Innovative Smart Grid Technologies Conference
DOI: 10.1109/isgt-europe54678.2022.9960432

Optimizing wind energy trading decisions using interpretable AI-based tools: The symbolic regression approach

Author(s): Konstantinos Parginos , Simon Camal , Ricardo Bessa , Georges Kariniotakis
Published in: 2023
Publisher: WindEurope Annual Event 2023

Regulating Artificial Intelligence in the EU, United States and China - Implications for energy systems

Author(s): Fabian Heymann, Konstantinos Parginos, Ali Hariri, Gabriele Franco
Published in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2024, Page(s) 1-6
Publisher: IEEE
DOI: 10.1109/isgteurope56780.2023.10407482

Language acquisition: do children and language models follow similar learning stages?

Author(s): Linnea Evanson, Yair Lakretz, Jean Rémi King
Published in: Findings of the Association for Computational Linguistics: ACL 2023, 2023, Page(s) 12205-12218
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-acl.773

A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers

Author(s): Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière
Published in: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2024, Page(s) 4130-4140
Publisher: IEEE
DOI: 10.1109/iccvw60793.2023.00446

Other (5)

Signature of random connectivity in the distribution of neuronal tuning curves

Author(s): Pierre Orhan, Adrian Duszkiewicz, Adrien Peyrache
Published in: BioRxiv, 2022
Publisher: BioRxiv.org
DOI: 10.1101/2022.08.30.505888

Toward a realistic model of speech processing in the brain with self-supervised learning

Author(s): Juliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King
Published in: Arxiv, 2022
Publisher: arxiv.org
DOI: 10.48550/arxiv.2206.01685

Reciprocal feature encoding by cortical excitatory and inhibitory neurons

Author(s): Adrian J. Duszkiewicz, Sofia Skromne Carrasco, Pierre Orhan, Eleanor H. Brown, Eliott Owczarek, Gilberto R. Vite, Emma R. Wood, Adrien Peyrache
Published in: Biorxiv, 2022, ISSN 2692-8205
Publisher: https://www.biorxiv.org/
DOI: 10.1101/2022.03.14.484357

Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex

Author(s): Pierre Orhan, Yves Boubenec, Jean-Rémi King
Published in: Arxiv, 2022
Publisher: Arxiv.org
DOI: 10.48550/arxiv.2202.07290

Correlative mapping of local hysteresis properties in VO$_2$

Author(s): Banguero, Melissa Alzate; Basak, Sayan; Raymond, Nicolas; Simmons, Forrest; Salev, Pavel; Schuller, Ivan K.; Aigouy, Lionel; Carlson, Erica W.; Zimmers, Alexandre
Published in: 2023
Publisher: Condensed Matter > Strongly Correlated Electrons