Patrick Gallinari
- QuestEval: Summarization Asks for Fact-based Evaluation
2021/03/23 by Thomas Scialom, Paul-Alexis Dray, Scialom, Thomas +11 · 30 citations
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Deep Learning for Physical Processes: Incorporating Prior Scientific\n Knowledge
2017/11/21 by Emmanuel de Bézenac, Arthur Pajot, de Bezenac, Emmanuel +3 · 19 citations
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
- LEADS: Learning Dynamical Systems that Generalize Across Environments
2021/06/08 by Yuan Yin, Ibrahim Ayed, Yin, Yuan +7 · 6 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Deep Sequential Neural Network
2014/10/02 by Ludovic Denoyer, Denoyer, Ludovic, Patrick Gallinari +1 · 7 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #Topic Modeling
- Learning Dynamical Systems from Partial Observations
2019/02/26 by Ibrahim Ayed, Ayed, Ibrahim, Emmanuel de Bézenac +7 · 5 citations
Computer Science · Engineering · Physics and Astronomy · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Systems and Control (eess.SY) #electronic engineering #information engineering
- Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic\n Evaluation
2021/04/15 by Clément Rebuffel, Thomas Scialom, Rebuffel, Clément +13 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Mapping conditional distributions for domain adaptation under generalized target shift
2021/10/26 by Matthieu Kirchmeyer, Kirchmeyer, Matthieu, Alain Rakotomamonjy +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications #Topic Modeling
- Probing Language Models on Their Knowledge Source
2024/10/08 by Zineddine Tighidet, Andrea Mogini, Tighidet, Zineddine +7 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies
- Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
2023/06/09 by Étienne Le Naour, Louis Serrano, Naour, Etienne Le +13 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
2022/11/15 by Jingang Qu, Qu, Jingang, Thibault Faney +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
2024/06/30 by Mouadh Yagoubi, David Danan, Yagoubi, Mouadh +17 · 3 citations
Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Heat Transfer and Optimization #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Turbomachinery Performance and Optimization #and Science (cs.CE)
- Explainable Deep Image Classifiers for Skin Lesion Diagnosis
2021/11/22 by Carlo Metta, Metta, Carlo, Andrea Beretta +11 · 1 citation
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
2024/10/04 by Louis Serrano, Serrano, Louis, Armand Kassaï Koupaï +7 · 3 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modeling and Simulation Systems
- Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
2024/10/09 by Lise Le Boudec, Boudec, Lise Le, Emmanuel de Bézenac +9 · 2 citations
Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Module-wise Training of Neural Networks via the Minimizing Movement Scheme
2023/09/29 by Skander Karkar, Karkar, Skander, Ibrahim Ayed +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
- Adversarial Sample Detection Through Neural Network Transport Dynamics
2023/06/07 by Skander Karkar, Patrick Gallinari, Karkar, Skander +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- What BERT Sees: Cross-Modal Transfer for Visual Question Generation
2020/02/25 by Thomas Scialom, Patrick Bordes, Scialom, Thomas +7 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Optimal Unsupervised Domain Translation
2019/06/04 by Emmanuel de Bézenac, de Bézenac, Emmanuel, Ibrahim Ayed +3 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
2024/03/03 by Mouadh Yagoubi, Yagoubi, Mouadh, Milad Leyli-Abadi +15 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computational Engineering #FOS: Computer and information sciences #Finance #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #and Science (cs.CE)