Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation

Συγγραφείς: Andry, Gérôme, Lewin, Sacha, Rozet, François, Rochman, Omer, Mangeleer, Victor, Pirlet, Matthias, Faulx, Elise, Grégoire, Marilaure, Louppe, Gilles

Πηγή: Machine Learning and the Physical Sciences Workshop (NeurIPS 2025), San Diego, United States - California [US-CA], 06/12/2025

Θεματικοί όροι: Computer Science - Learning, Physics - Atmospheric and Oceanic Physics, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/342181

Enforcing governing equation constraints in neural PDE solvers via training-free projections

Συγγραφείς: Rochman Sharabi, Omer, Louppe, Gilles

Πηγή: Machine Learning and the Physical Sciences Workshop (NeurIPS 2025), San Diego, United States - California [US-CA], 06/12/2025

Θεματικοί όροι: Computer Science - Learning, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://arxiv.org/abs/2511.17258

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/340544

A Comprehensive Review of Transformer-Based Language Models for Protein Sequence Analysis and Design

Συγγραφείς: Nimisha Ghosh, Daniele Santoni, Debaleena Nawn, Eleonora Ottaviani, Giovanni Felici

Πηγή: IEEE Transactions on Artificial Intelligence. 7:2478-2495

Θεματικοί όροι: Machine Learning, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, FOS: Biological sciences, Quantitative Methods, Computer Science - Learning, Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM), Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2507.13646
https://hdl.handle.net/11573/1750998

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective

Συγγραφείς: Ghodsi, S.Siamak, Seyedi, Amjad, Le Quy, Tai, Karimi, Fariba, Ntoutsi, Eirini

Συνεισφορές: European Union

Πηγή: 2025 IEEE International Conference on Big Data (BigData). :1705-1714

Θεματικοί όροι: Deep Matrix Factorization, Sciences informatiques, FOS: Computer and information sciences, Multi-objective Fairness, Computer Science - Artificial Intelligence, Trustworthy ML, Computer Science - Information Theory, Information Theory (cs.IT), Fair Graph Clustering, Information Theory, Heterogenous Networks, Computer science, Engineering, computing & technology, Ingénierie, informatique & technologie, Machine Learning (cs.LG), Machine Learning, Computer Science - Learning, Artificial Intelligence (cs.AI), Fairness-Utility Trade-off, Fair-Nonnegative Matrix Factorization, Artificial Intelligence, Community Detection

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2510.23507
https://hdl.handle.net/20.500.12907/55270
https://doi.org/10.1109/BigData66926.2025.11402535

Experience in Engineering Complex Systems: Active Preference Learning With Multiple Outcomes and Certainty Levels

Συγγραφείς: Le Anh Dao, Marco Maccarini, Matteo Lavit Nicora, Matteo Meregalli Falerni, Marta Mondellini, Palaniappan Veerappan, Lorenzo Mantovani, Dario Piga, Simone Formentin, Matteo Malosio, Loris Roveda

Πηγή: IEEE Transactions on Human-Machine Systems. 55:898-908

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Computer Science - Learning, Mathematics - Optimization and Control, 05 social sciences, 02 engineering and technology, Human-robot interaction, learning algorithms, optimization machine, Machine Learning (cs.LG), Optimization and Control (math.OC), 0502 economics and business, FOS: Mathematics

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2302.14630
https://hdl.handle.net/20.500.14243/558625
https://doi.org/10.1109/THMS.2025.3617576
https://hdl.handle.net/11585/946956
http://arxiv.org/abs/2302.14630v1

Kernel Density Estimators in Large Dimensions

Συγγραφείς: Biroli, Giulio, Mézard, Marc

Συνεισφορές: VERZIER, Anne-Cécile

Πηγή: SIAM Journal on Mathematics of Data Science. 8:46-76

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Physical sciences, Mathematics - Statistics Theory, Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Disordered Systems and Neural Networks (cond-mat.dis-nn), Statistics Theory (math.ST), Condensed Matter - Disordered Systems and Neural Networks, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), Statistics - Machine Learning, FOS: Mathematics, COMPUTER SCIENCE - LEARNING, PHYSICS - DISORDERED SYSTEMS AND NEURAL NETWORKS, MATHEMATICS - STATISTICS, STATISTICS - MACHINE LEARNING, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2408.05807
http://arxiv.org/abs/2408.05807v3
https://doi.org/10.1137/24M1703677
https://hdl.handle.net/11565/4077298
https://hal.science/hal-05610564v1
https://doi.org/10.1137/24m1703677

Halting Recurrent GNNs and the Graded mu-Calculus

Συγγραφείς: Bollen, J., Van den Bussche, J., Vansummeren, S., Virtema, J.

Συνεισφορές: BOLLEN, Jeroen, VAN DEN BUSSCHE, Jan, VANSUMMEREN, Stijn, VIRTEMA, Jonni, Ortiz, M., Wassermann, R., Schaub, T.

Πηγή: Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning. :175-184

Θεματικοί όροι: Machine Learning, FOS: Computer and information sciences, Computer Science - Learning, Computer Science - Logic in Computer Science, Artificial Intelligence (cs.AI), Recurrent Graph Neural Networks, Computer Science - Artificial Intelligence, Artificial Intelligence, Logic in Computer Science, Graded Bisimulation, Modal Mu Calculus, Machine Learning (cs.LG), Logic in Computer Science (cs.LO)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.11050
http://hdl.handle.net/1942/46102
http://arxiv.org/abs/2505.11050v1
https://eprints.whiterose.ac.uk/id/eprint/234248/

Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation

Συγγραφείς: Rozet, François, Ohana, Ruben, McCabe, Michael, Louppe, Gilles, Lanusse, François, Ho, Shirley

Πηγή: Advances in Neural Information Processing Systems, 38 (2025-07-03); The Thirty-Ninth Annual Conference on Neural Information Processing Systems, San Diego, United States - California [US-CA], December 2-7, 2025

Θεματικοί όροι: Computer Science - Learning, Physics - Fluid Dynamics, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://openreview.net/forum?id=xoNrbfbekM; https://github.com/PolymathicAI/the_well; urn:issn:1049-5258

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/337977

The Effect of Gamification in Computer Science Learning on Student Motivation and Learning Outcomes at SMP Negeri 27 Padang

Συγγραφείς: Yulirismayenti, Irfan, Dedy, Wahyuni, Titi Sri, Refdinal, Hadi, Ahmaddul, Desky, Abdul Habib Arrasyidi

Πηγή: Jurnal Penelitian Pendidikan IPA

Θεματικοί όροι: Computer science learning, Learning outcomes, Student motivation, Gamification, SMP Negeri 27 Padang, Research Articles

Περιγραφή αρχείου: application/pdf

Forecasting Anonymized Electricity Load Profiles

Συγγραφείς: DELGADO FERNANDEZ, Joaquin, POTENCIANO MENCI, Sergio, Magitteri, Alessio

Συνεισφορές: Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations

Πηγή: PowerTech 2025, KIEL, Germany [DE], 29/06/2025-03/07/2025

Θεματικοί όροι: Sciences informatiques, FOS: Computer and information sciences, Computer Science - Machine Learning, Energy, Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer science, I.2.0, J.2.7, Engineering, computing & technology, Ingénierie, informatique & technologie, Machine Learning (cs.LG), Computer Science - Learning, Artificial Intelligence (cs.AI), Energie, Cryptography and Security (cs.CR)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.06237
https://orbilu.uni.lu/handle/10993/65481

Training-Free Data Assimilation with GenCast

Συγγραφείς: Savary, Thomas, Rozet, François, Louppe, Gilles

Συνεισφορές: Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Πηγή: Climate Change AI Workshop, San Diego, United States - California [US-CA], 07-12-2025

Θεματικοί όροι: Computer Science - Learning, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/340521

Fast reconstruction of degenerate populations of conductance-based neuron models from spike times using deep learning

Συγγραφείς: Brandoit, Julien, Ernst, Damien, Drion, Guillaume, Fyon, Arthur

Συνεισφορές: Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Πηγή: NeurIPS 2025 - Workshop : Data on the Brain & Mind, San Diego, United States [US], from 02 December to 07 December 2025.

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition, Computer Science - Learning, Mathematics - Dynamical Systems, Statistics - Machine Learning, Engineering, computing & technology, Human health sciences, Neurology, Ingénierie, informatique & technologie, Sciences de la santé humaine, Neurologie

Relation: https://data-brain-mind.github.io/

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/336182

The Struggles of LLMs in Cross-Lingual Code Clone Detection

Συγγραφείς: Micheline Bénédicte Moumoula, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé

Συνεισφορές: Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other

Πηγή: Proceedings of the ACM on Software Engineering, 2 (FSE), 1023-1045 (2025-06)

Θεματικοί όροι: Sciences informatiques, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Learning, Computer Science - Software Engineering, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer science, Engineering, computing & technology, Ingénierie, informatique & technologie, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2408.04430
https://orbilu.uni.lu/bitstream/10993/65293/1/3715764.pdf
https://orbilu.uni.lu/handle/10993/65293

Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference

Συγγραφείς: Pirlet, Matthias, Bolland, Adrien, Louppe, Gilles, Ernst, Damien

Πηγή: NeurIPS workshop: Data-driven and Differentiable Simulations, Surrogates, and Solvers, Vancouver, Canada [CA], du 9 décembre 2024 au 15 décembre 2024

Θεματικοί όροι: Computer Science - Learning, simulation-based inference, Machine learning, Energy markets, Unit Commitment, Deep Learning, Engineering, computing & technology, Computer science, Electrical & electronics engineering, Ingénierie, informatique & technologie, Sciences informatiques, Ingénierie électrique & électronique

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/321782

Help the Machine to Help You: an Evaluation in the Wild of Egocentric Data Cleaning via Skeptical Learning

Συγγραφείς: Andrea Bontempelli, Matteo Busso, Leonardo Javier Malcotti, Fausto Giunchiglia

Πηγή: Lecture Notes in Computer Science ISBN: 9783032133113

Θεματικοί όροι: Machine Learning, FOS: Computer and information sciences, Computer Science - Learning, Computer Science - Artificial Intelligence, Artificial Intelligence (cs.AI), Artificial Intelligence, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2510.23635
https://hdl.handle.net/11572/465954
http://arxiv.org/abs/2510.23635v1
https://doi.org/10.1007/978-3-032-13312-0_17

PlugSI: Plug-and-Play Test-Time Graph Adaptation for Spatial Interpolation

Συγγραφείς: Xuhang Wu, Zhuoxuan Liang, Wei Li, Xiaohua Jia, Sumi Helal

Πηγή: CoRR.

Θεματικοί όροι: Machine Learning, FOS: Computer and information sciences, Computer Science - Learning, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2602.09824
https://hdl.handle.net/11585/1051861
http://arxiv.org/abs/2602.09824v1

Virtual Reality Simulations for Skills Training: Improving Learning Through Immersive Experiences in Educational Environments

Συγγραφείς: Villegas-Ch, W., Govea, J., Naranjo Godoy, L., Mera-Navarrete, A.

Πηγή: IEEE Access Access, IEEE. 12:130073-130090 2024

Informed POMDP: Leveraging Additional Information in Model-Based RL

Συγγραφείς: Lambrechts, Gaspard, Bolland, Adrien, Ernst, Damien

Πηγή: Reinforcement Learning Journal (2024-08); Reinforcement Learning Conference, Amherst, United States - Massachusetts [US-MA], August 9th, 2024

Θεματικοί όροι: Computer Science - Learning, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://arxiv.org/abs/2306.11488; urn:issn:2996-8569; urn:issn:2996-8577

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/304369

Learning Diffusion Priors from Observations by Expectation Maximization

Συγγραφείς: Rozet, François, Andry, Gérôme, Lanusse, François, Louppe, Gilles

Πηγή: Advances in Neural Information Processing Systems, 37 (2024-05-22); The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada [CA], December 10-15, 2024

Θεματικοί όροι: Computer Science - Learning, Statistics - Machine Learning, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://openreview.net/forum?id=7v88Fh6iSM; https://openreview.net/forum?id=7v88Fh6iSM; urn:issn:1049-5258

Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/319891

Detection of subclinical atherosclerosis by image-based deep learning on chest X-ray

Συγγραφείς: Gallone, Guglielmo, Iodice, Francesco, Presta, Alberto, Tore, Davide, De Filippo, Ovidio, Visciano, Michele, Barbano, Carlo Alberto, Serafini, Alessandro, Gorrini, Paola, Bruno, Alessandro, Grosso Marra, Walter, Hughes, James, Iannaccone, Mario, Fonio, Paolo, Fiandrotti, Attilio, Depaoli, Alessandro, Grangetto, Marco, De Ferrari, Gaetano Maria, D'Ascenzo, Fabrizio

Πηγή: Eur Heart J Digit Health

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Original Article, Computer Science - Learning, 3. Good health, Machine Learning (cs.LG)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40703133
http://arxiv.org/abs/2403.18756
http://arxiv.org/abs/2403.18756v1
https://hdl.handle.net/2318/2074870
https://doi.org/10.1093/ehjdh/ztaf033