Výsledky vyhledávání - "Computer Science - Learning"

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

Autoři: Andry, Gérôme Lewin, Sacha Rozet, François a další

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

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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/342181

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

Autoři: Rochman Sharabi, Omer Louppe, Gilles

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

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

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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/340544

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

Autoři: Le Anh Dao Marco Maccarini Matteo Lavit Nicora a další

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

Témata: 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, Machine Learning (cs.LG), optimization machine, Optimization and Control (math.OC), 0502 economics and business, FOS: Mathematics, Human-robot interaction, learning algorithms

Popis souboru: application/pdf

Přístupová URL adresa: 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

Autoři: Biroli, Giulio Mezard, Marc

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

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

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2408.05807
http://arxiv.org/abs/2408.05807v3
https://doi.org/10.1137/24M1703677
https://hdl.handle.net/11565/4077298

Halting Recurrent GNNs and the Graded mu-Calculus

Autoři: BOLLEN, Jeroen VAN DEN BUSSCHE, Jan VANSUMMEREN, Stijn a další

Přispěvatelé: BOLLEN, Jeroen VAN DEN BUSSCHE, Jan VANSUMMEREN, Stijn a další

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

Témata: Machine Learning, FOS: Computer and information sciences, Computer Science - Learning, Computer Science - Logic in Computer Science, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Artificial Intelligence, Logic in Computer Science, Machine Learning (cs.LG), Logic in Computer Science (cs.LO)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2505.11050
http://hdl.handle.net/1942/46102
http://arxiv.org/abs/2505.11050v1

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

Autoři: Rozet, François Ohana, Ruben McCabe, Michael a další

Zdroj: 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

Témata: 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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/337977

Training-Free Data Assimilation with GenCast

Autoři: Savary, Thomas Rozet, François Louppe, Gilles a další

Přispěvatelé: Savary, Thomas Rozet, François Louppe, Gilles a další

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

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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/340521

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

Autoři: Brandoit, Julien Ernst, Damien Drion, Guillaume a další

Přispěvatelé: Brandoit, Julien Ernst, Damien Drion, Guillaume a další

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

Témata: 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/

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/336182

Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference

Autoři: Pirlet, Matthias Bolland, Adrien Louppe, Gilles a další

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

Témata: 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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/321782

Informed POMDP: Leveraging Additional Information in Model-Based RL

Autoři: Lambrechts, Gaspard Bolland, Adrien Ernst, Damien

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

Témata: 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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/304369

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

Autoři: Gallone, Guglielmo Iodice, Francesco Presta, Alberto a další

Zdroj: Eur Heart J Digit Health

Témata: 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)

Popis souboru: application/pdf

Přístupová URL adresa: 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

Green Federated Learning: A New Era of Green Aware AI

Autoři: Dipanwita Thakur Antonella Guzzo Giancarlo Fortino a další

Zdroj: ACM Computing Surveys. 57:1-36

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

Přístupová URL adresa: http://arxiv.org/abs/2409.12626
http://arxiv.org/abs/2409.12626v2
https://hdl.handle.net/20.500.11770/385818
https://doi.org/10.1145/3718363
https://hdl.handle.net/20.500.11770/381837
https://doi.org/10.1145/3718363

Learning Diffusion Priors from Observations by Expectation Maximization

Autoři: Rozet, François Andry, Gérôme Lanusse, François a další

Zdroj: 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

Témata: 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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/319891

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables

Autoři: Alessio Burrello Francesco Carlucci Giovanni Pollo a další

Zdroj: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). :1-5

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Blood Pressure, DNN, Neural Architecture Search, PPG, Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Computer Science -Artificial Intelligence, Computer Science - Learning, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2409.07485
https://hdl.handle.net/11585/1005032
https://doi.org/10.1109/biocas61083.2024.10798404

Video-Driven Graph Network-Based Simulators

Autoři: Szewczyk, Franciszek Louppe, Gilles Sabatelli, Matthia

Zdroj: Machine Learning and the Physical Sciences Workshop (NeurIPS 2024), Vancouver, Canada [CA], 2024-12-15

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/340498

A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design

Autoři: Nimisha Ghosh Daniele Santoni Debaleena Nawn a další

Zdroj: IEEE Transactions on Artificial Intelligence. :1-18

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2507.13646
https://hdl.handle.net/11573/1750998

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

Autoři: Falkiewicz, Maciej Takeishi, Naoya Shekhzadeh, Imahn a další

Zdroj: Advances in Neural Information Processing Systems (2023-12); Advances in Neural Information Processing Systems, New Orleans, United States - Louisiana [US-LA], December 2023

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

Relation: urn:issn:1049-5258

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/308498

IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

Autoři: Leroy, Pascal Morato, Pablo G. Pisane, Jonathan a další

Zdroj: Advances in Neural Information Processing Systems (2023-12); Thirty-seventh Conference on Neural Information Processing Systems, La Nouvelle-Orléans, United States [US], 10/12/2023

Témata: Computer Science - Learning, Computer Science - Multiagent Systems, cs.SY, eess.SY, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://github.com/moratodpg/imp_marl; urn:issn:1049-5258

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/304451

Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators

Autoři: Mangeleer, Victor Louppe, Gilles Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Přispěvatelé: Mangeleer, Victor Louppe, Gilles Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Zdroj: Machine Learning and the Physical Sciences, NeurIPS 2023, New Orleans, United States [US], December 15, 2023

Témata: Computer Science - Learning, Physics - Atmospheric and Oceanic Physics, Deep Learning, Fourier Neural Operators, Parameterizations, PyQG, Engineering, computing & technology, Electrical & electronics engineering, Ingénierie, informatique & technologie, Ingénierie électrique & électronique

Relation: https://arxiv.org/abs/2310.02691; https://arxiv.org/abs/2310.02691

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/309230

Elastic-Net Multiple Kernel Learning: Combining Multiple Data Sources for Prediction

Autoři: Mourão-Miranda, Janaina Hussain, Zakria Tsirlis, Konstantinos a další

Témata: Computer Science - Learning, Multiple Kernel Learning (MKL), MRI, Neuroimaging, Predictive model, Engineering, computing & technology, Ingénierie, informatique & technologie

Relation: https://www.mlnl.cs.ucl.ac.uk/pronto/

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/338628