Olga Fink
- Continual Test-Time Domain Adaptation
2022/03/25 by Qin Wang, Olga Fink, Wang, Qin +5 · 98 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM #Multimodal Machine Learning Applications
- A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
2022/08/26 by Adam Thelen, Thelen, Adam, Xiaoge Zhang +17 · 11 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #Digital Transformation in Industry #FOS: Computer and information sciences #Finance #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #and Science (cs.CE)
- SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
2023/10/30 by Hao Dong, Dong, Hao, Ismail Nejjar +7 · 15 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
2021/04/28 by Qin Wang, Wang, Qin, Dengxin Dai +7 · 6 citations
Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
2022/08/27 by Adam Thelen, Xiaoge Zhang, Thelen, Adam +17 · 6 citations
Engineering · Computer Science · #Digital Transformation in Industry #IoT and Edge/Fog Computing
- DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
2023/03/23 by Ismail Nejjar, Qin Wang, Nejjar, Ismail +3 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
2024/07/10 by Hao, Yan, Florent Forest, Forest, Florent +2 · 6 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.4.8 #I.5.4 #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
2024/07/01 by Hao Dong, Dong, Hao, Eleni Chatzi +3 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Text and Document Classification Technologies
- Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
2025/01/30 by Hao Dong, Dong, Hao, M. H. Liu +11 · 9 citations
Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Robotics (cs.RO)
- Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
2023/04/26 by Hao Lu, Lu, Hao, Adam Thelen +7 · 2 citations
Engineering · #Electricity Theft Detection Techniques #Reliability and Maintenance Optimization #Electrical Fault Detection and Protection
- Interpretable Prognostics with Concept Bottleneck Models
2024/05/27 by Florent Forest, Katharina Rombach, Forest, Florent +3 · 4 citations
Computer Science · #Bayesian Modeling and Causal Inference
- Deep Koopman Operator-based degradation modelling
2023/08/03 by Sergei Garmaev, Garmaev, Sergei, Olga Fink +1 · 2 citations
Engineering · #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Fault Diagnosis Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
- From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
2023/09/20 by Florent Forest, Hugo Porta, Forest, Florent +5 · 2 citations
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Concrete Corrosion and Durability #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Non-Destructive Testing Techniques #electronic engineering #information engineering
- Uncertainty-aware Remaining Useful Life predictor
2021/04/08 by Luca Biggio, Alexander Wieland, Biggio, Luca +7 · 1 citation
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Fault Detection and Control Systems #Control Systems and Identification
- Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
2023/12/05 by Gaëtan Frusque, Frusque, Gaëtan, Ismail Nejjar +5 · 2 citations
Engineering · Health Professions · #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Non-Invasive Vital Sign Monitoring
- A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
2022/01/20 by Yuan Tian, Minghao Han, Tian, Yuan +5 · 1 citation
Engineering · #Advanced Battery Technologies Research #Artificial Intelligence (cs.AI) #Electric Vehicles and Infrastructure #FOS: Computer and information sciences #Green IT and Sustainability #Machine Learning (cs.LG)
- Hybrid deep fault detection and isolation: Combining deep neural\n networks and system performance models
2019/08/05 by Manuel Arias Chao, Chetan S. Kulkarni, Chao, Manuel Arias +5 · 1 citation
Chemical Engineering · Decision Sciences · Engineering · #Advanced Combustion Engine Technologies #FOS: Electrical engineering #Fault Detection and Control Systems #Risk and Safety Analysis #Systems and Control (eess.SY) #electronic engineering #information engineering
- Learning Informative Health Indicators Through Unsupervised Contrastive Learning
2022/08/28 by Katharina Rombach, Rombach, Katharina, Gabriel Michau +7 · 1 citation
Engineering · #Machine Fault Diagnosis Techniques
- IM-Context: In-Context Learning for Imbalanced Regression Tasks
2024/05/28 by Ismail Nejjar, Nejjar, Ismail, Faez Ahmed +3 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning in Healthcare
- A Neural Operator-Based Approach to Symbolic Discovery of PDEs
2025/01/14 by Sergei Garmaev, Olga Fink, Garmaev, Sergei +2 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Applications #Symbolic Computation (cs.SC)
- Real-Time Model Calibration with Deep Reinforcement Learning
2020/06/07 by Yuan Tian, Tian, Yuan, Manuel Arias Chao +7 · 1 citation
Computer Science · Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
2025/01/13 by Vinay Sharma, Olga Fink, Sharma, Vinay +1 · 2 citations
Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #and Science (cs.CE)
- Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach
2023/06/19 by Gaëtan Frusque, Daniel Mitchell, Frusque, Gaëtan +7 · 1 citation
Engineering · #Ultrasonics and Acoustic Wave Propagation #Structural Health Monitoring Techniques #Geophysical Methods and Applications
- Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
2025/01/23 by Hao Dong, Dong, Hao, Eleni Chatzi +3 · 2 citations
Computer Science · Engineering · #Advanced Sensor and Control Systems #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Educational Technology and Assessment #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics
2024/10/29 by Chenghao Xu, Xu, Chenghao, Malcolm Mielle +9 · 1 citation
Earth and Planetary Sciences · Environmental Science · #3D Surveying and Cultural Heritage #Remote Sensing and LiDAR Applications
- Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
2024/11/19 by Ismail Nejjar, Hao Dong, Nejjar, Ismail +3 · 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 and Data Classification #Multimodal Machine Learning Applications
- To Trust Or Not To Trust Your Vision-Language Model's Prediction
2025/05/29 by Hao Dong, Dong, Hao, M. H. Liu +7 · 2 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Spline-Based Boundary Representations for Sparse View Reconstruction and Simulation Using Isogeometric Analysis
2026/07/28 by Davor Dobrota, Vsevolod Skorokhodov, Chenghao Xu +2
Computer Science · #cs.CE #cs.CV
- Agentic Root Cause Analysis through Evidence-Grounded Reasoning
2026/07/24 by Amaury Wei, Olga Fink
Computer Science · #cs.AI #cs.LG
- Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise
2026/07/21 by Arthur Bizzi, Olga Fink
Computer Science · #cs.LG