Predicting time series of railway speed restrictions with time-dependent machine learning techniques. - Olga Fink; Enrico Zio; Ulrich Weidmann 001 (Expert Syst. Appl., 2013)

Quantifying the reliability of fault classifiers. - Olga Fink; Enrico Zio; Ulrich Weidmann 001 (Inf. Sci., 2014)

Predicting component reliability and level of degradation with complex-valued neural networks. - Olga Fink; Enrico Zio; Ulrich Weidmann 001 (Reliab. Eng. Syst. Saf., 2014)

Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures. - Olga Fink; Enrico Zio; Ulrich Weidmann 001 (IEEE Trans. Reliab., 2015)

A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data. - Olga Fink; Enrico Zio; Ulrich Weidmann 001 (IEEE Trans. Reliab., 2015)

Online sequential extreme learning machines for fault detection. - Yang Hu; Olga Fink; Thomas Palmé (ICPHM, 2016)

Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. - Ronay Ak; Olga Fink; Enrico Zio (IEEE Trans. Neural Networks Learn. Syst., 2016)

Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines. - Yang Hu; Thomas Palmé; Olga Fink (Eng. Appl. Artif. Intell., 2017)

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. - Gabriel Michau; Yang Hu; Thomas Palmé; Olga Fink (CoRR, 2018)

Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis With Integrated Feature Extraction. - Yann Qi Chen; Olga Fink; Giovanni Sansavini (IEEE Trans. Ind. Electron., 2018)

Unsupervised Fault Detection in Varying Operating Conditions. - Gabriel Michau; Olga Fink (ICPHM, 2019)

Domain Adaptive Transfer Learning for Fault Diagnosis. - Qin Wang 013; Gabriel Michau; Olga Fink (CoRR, 2019)

Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. - Gabriel Michau; Olga Fink (CoRR, 2019)

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2019)

Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. - Manuel Arias Chao; Bryan T. Adey; Olga Fink (CoRR, 2019)

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. - Yuan Tian 014; Qin Wang 013; Zhiwu Huang; Wen Li 001; Dengxin Dai; Minghao Yang; Jun Wang 012; Olga Fink (ECCV (7), 2020)

Improving generalization of deep fault detection models in the presence of mislabeled data. - Katharina Rombach; Gabriel Michau; Olga Fink (SMC, 2020)

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. - Qin Wang 013; Gabriel Michau; Olga Fink (CoRR, 2020)

Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. - Gabriel Rodriguez Garcia; Gabriel Michau; Mélanie Ducoffe; Jayant Sen Gupta; Olga Fink (CoRR, 2020)

Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. - Oliver Ammann; Gabriel Michau; Olga Fink (CoRR, 2020)

Real-Time Model Calibration with Deep Reinforcement Learning. - Yuan Tian 014; Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2020)

Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. - Chi-Ching Hsu; Gabriel Michau; Olga Fink (CoRR, 2020)

Transferring Complementary Operating Conditions for Anomaly Detection. - Gabriel Michau; Olga Fink (CoRR, 2020)

Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition. - Pegah Rokhforoz; Olga Fink (CoRR, 2020)

Battery Model Calibration with Deep Reinforcement Learning. - Ajaykumar Unagar; Yuan Tian 014; Manuel Arias Chao; Olga Fink (CoRR, 2020)

Potential, challenges and future directions for deep learning in prognostics and health management applications. - Olga Fink; Qin Wang 013; Markus Svensén; Pierre Dersin; Wan-Jui Lee; Melanie Ducoffe (Eng. Appl. Artif. Intell., 2020)

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Qin Wang 013; Dengxin Dai; Lukas Hoyer; Luc Van Gool; Olga Fink (ICCV, 2021)

Uncertainty-Aware Prognosis via Deep Gaussian Process. - Luca Biggio; Alexander Wieland; Manuel Arias Chao; Iason Kastanis; Olga Fink (IEEE Access, 2021)

Hierarchical multi-agent predictive maintenance scheduling for trains using price-based approach. - Pegah Rokhforoz; Olga Fink (Comput. Ind. Eng., 2021)

Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. - Gabriel Rodriguez Garcia; Gabriel Michau; Herbert H. Einstein; Olga Fink (CoRR, 2021)

Uncertainty-aware Remaining Useful Life predictor. - Luca Biggio; Alexander Wieland; Manuel Arias Chao; Iason Kastanis; Olga Fink (CoRR, 2021)

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. - Gabriel Michau; Olga Fink (CoRR, 2021)

Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. - Gaëtan Frusque; Gabriel Michau; Olga Fink (CoRR, 2021)

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units. - Pegah Rokhforoz; Olga Fink (CoRR, 2021)

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Data, 2021)

Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders. - Manuel Arias Chao; Bryan T. Adey; Olga Fink (Neurocomputing, 2021)

Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer. - Gabriel Michau; Olga Fink (Knowl. Based Syst., 2021)

Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market. - Pegah Rokhforoz; Blazhe Gjorgiev; Giovanni Sansavini; Olga Fink (Reliab. Eng. Syst. Saf., 2021)

Interpretable Detection of Partial Discharge in Power Lines with Deep Learning. - Gabriel Michau; Chi-Ching Hsu; Olga Fink (Sensors, 2021)

Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. - Katharina Rombach; Gabriel Michau; Olga Fink (Sensors, 2021)

Missing-Class-Robust Domain Adaptation by Unilateral Alignment. - Qin Wang 013; Gabriel Michau; Olga Fink (IEEE Trans. Ind. Electron., 2021)

Continual Test-Time Domain Adaptation. - Qin Wang 013; Olga Fink; Luc Van Gool; Dengxin Dai (CVPR, 2022)

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. - Ismail Nejjar; Jean Meunier-Pion; Gaëtan Frusque; Olga Fink (DCASE, 2022)

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. - Gaëtan Frusque; Olga Fink (ICASSP, 2022)

Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study. - Chi-Ching Hsu; Gaëtan Frusque; Mahir Muratovic; Christian M. Franck; Olga Fink (SMC, 2022)

Artificial intelligence across company borders. - Olga Fink; Torbjørn H. Netland; Stefan Feuerriegel (Commun. ACM, 2022)

Learning Physics-Consistent Particle Interactions. - Zhichao Han 006; David S. Kammer; Olga Fink (CoRR, 2022)

Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. - Katharina Rombach; Gabriel Michau; Olga Fink (CoRR, 2022)

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. - Luca Biggio; Tommaso Bendinelli; Chetan S. Kulkarni; Olga Fink (CoRR, 2022)

Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets. - Pegah Rokhforoz; Olga Fink (CoRR, 2022)

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. - Katharina Rombach; Gabriel Michau; Kajan Ratnasabapathy; Lucian-Stefan Ancu; Wilfried Bürzle; Stefan Koller; Olga Fink (CoRR, 2022)

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

Fusing physics-based and deep learning models for prognostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

Maintenance scheduling of manufacturing systems based on optimal price of the network. - Pegah Rokhforoz; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

A prescriptive Dirichlet power allocation policy with deep reinforcement learning. - Yuan Tian 014; Minghao Han; Chetan S. Kulkarni; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis. - Qin Wang 013; Cees Taal; Olga Fink (IEEE Trans. Instrum. Meas., 2022)

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices. - Ismail Nejjar; Qin Wang 013; Olga Fink (CVPR, 2023)

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems. - Keivan Faghih Niresi; Mengjie Zhao; Hugo Bissig; Henri Baumann; Olga Fink (SENSORS, 2023)

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization. - Hao Dong 011; Ismail Nejjar; Han Sun; Eleni N. Chatzi; Olga Fink (NeurIPS, 2023)

Incentive Mechanism in the Sponsored Content Market with Network Effect. - Mina Montazeri; Pegah Rokhforoz; Hamed Kebriaei; Olga Fink (CoRR, 2023)

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions. - Jiawei Xiong; Olga Fink; Jian Zhou; Yizhong Ma (CoRR, 2023)

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis. - Hao Lu; Adam Thelen; Olga Fink; Chao Hu; Simon Laflamme (CoRR, 2023)

Collective Relational Inference for learning physics-consistent heterogeneous particle interactions. - Zhichao Han 006; Olga Fink; David S. Kammer (CoRR, 2023)

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. - Venkat Nemani; Luca Biggio; Xun Huan; Zhen Hu; Olga Fink; Anh Tran; Yan Wang; Xiaoping Du; Xiaoge Zhang 001; Chao Hu (CoRR, 2023)

Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis. - Jong Moon Ha; Olga Fink (CoRR, 2023)

Gemtelligence: Accelerating Gemstone classification with Deep Learning. - Tommaso Bendinelli; Luca Biggio; Daniel Nyfeler; Abhigyan Ghosh; Peter Tollan; Moritz Alexander Kirschmann; Olga Fink (CoRR, 2023)

Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach. - Gaëtan Frusque; Daniel Mitchell; Jamie Blanche; David Flynn; Olga Fink (CoRR, 2023)

Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios. - Baorui Dai; Gaëtan Frusque; Tianfu Li; Qi Li; Olga Fink (CoRR, 2023)

Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks. - Mengjie Zhao; Olga Fink (CoRR, 2023)

A Comparison of Residual-based Methods on Fault Detection. - Chi-Ching Hsu; Gaëtan Frusque; Olga Fink (CoRR, 2023)

Graph Neural Networks for Dynamic Modeling of Roller Bearing. - Vinay Sharma; Jens Ravesloot; Cees Taal; Olga Fink (CoRR, 2023)

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring. - Florent Forest; Hugo Porta; Devis Tuia; Olga Fink (CoRR, 2023)

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis. - Florent Forest; Olga Fink (CoRR, 2023)

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion. - Gaëtan Frusque; Ismail Nejjar; Majid Nabavi; Olga Fink (CoRR, 2023)

Multi-agent actor-critic with time dynamical opponent model. - Yuan Tian 014; Klaus-Rudolf Kladny; Qin Wang 013; Zhiwu Huang; Olga Fink (Neurocomputing, 2023)

Controlled generation of unseen faults for Partial and Open-Partial domain adaptation. - Katharina Rombach; Gabriel Michau; Olga Fink (Reliab. Eng. Syst. Saf., 2023)

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units. - Pegah Rokhforoz; Mina Montazeri; Olga Fink (Reliab. Eng. Syst. Saf., 2023)

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets. - Pegah Rokhforoz; Mina Montazeri; Olga Fink (Expert Syst. Appl., 2023)

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios. - Baorui Dai; Gaëtan Frusque; Tianfu Li; Qi Li; Olga Fink (Eng. Appl. Artif. Intell., 2023)

Towards Multimodal Open-Set Domain Generalization and Adaptation Through Self-supervision. - Hao Dong 011; Eleni N. Chatzi; Olga Fink (ECCV (59), 2024)

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-training Strategies and Performance Insights. - Yan Hao; Florent Forest; Olga Fink (ECCV (54), 2024)

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation. - Keivan Faghih Niresi; Lucas Kuhn; Gaëtan Frusque; Olga Fink (EUSIPCO, 2024)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities. - Hao Dong 011; Yue Zhao 016; Eleni N. Chatzi; Olga Fink (NeurIPS, 2024)

Robust time series denoising with learnable wavelet packet transform. - Gaëtan Frusque; Olga Fink (Adv. Eng. Informatics, 2024)

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. - Ismail Nejjar; Gaëtan Frusque; Florent Forest; Olga Fink (CoRR, 2024)

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making. - Yuan Tian 014; Wenqi Zhou; Hao Dong 011; David S. Kammer; Olga Fink (CoRR, 2024)

ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis. - Mariam Hassan; Florent Forest; Olga Fink; Malcolm Mielle (CoRR, 2024)

Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks. - Mengjie Zhao; Cees Taal; Stephan Baggerohr; Olga Fink (CoRR, 2024)

Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity. - Raffael Theiler; Olga Fink (CoRR, 2024)

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework. - Han Sun; Yunkang Cao; Olga Fink (CoRR, 2024)

Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions. - Han Sun; Kevin Ammann; Stylianos Giannoulakis; Olga Fink (CoRR, 2024)

Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection. - Punnawat Siripathitti; Florent Forest; Olga Fink (CoRR, 2024)

Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics. - Mengjie Zhao; Cees Taal; Stephan Baggerohr; Olga Fink (CoRR, 2024)

Learning Physics-Consistent Material Behavior Without Prior Knowledge. - Zhichao Han 006; Mohit Pundir; Olga Fink; David S. Kammer (CoRR, 2024)

Integrating the Expected Future: Schedule Based Energy Forecasting. - Raffael Theiler; Olga Fink (CoRR, 2024)

Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics. - Chenghao Xu; Malcolm Mielle; Antoine Laborde; Ali Waseem; Florent Forest; Olga Fink (CoRR, 2024)

Combining Physics-based and Data-driven Modeling for Building Energy Systems. - Leandro Von Krannichfeldt; Kristina Orehounig; Olga Fink (CoRR, 2024)

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion. - Keivan Faghih Niresi; Ismail Nejjar; Olga Fink (CoRR, 2024)

Physics meets Topology: Physics-informed topological neural networks for learning rigid body dynamics. - Amaury Wei; Olga Fink (CoRR, 2024)

Deep Koopman Operator-based degradation modelling. - Sergei Garmaev; Olga Fink (Reliab. Eng. Syst. Saf., 2024)

IM-Context: In-Context Learning for Imbalanced Regression Tasks. - Ismail Nejjar; Faez Ahmed; Olga Fink (Trans. Mach. Learn. Res., 2024)

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis. - Tianfu Li; Chuang Sun 001; Olga Fink; Yuangui Yang; Xuefeng Chen 002; Ruqiang Yan 001 (IEEE Trans. Cybern., 2024)

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction. - Ismail Nejjar; Fabian Geissmann; Mengjie Zhao; Cees Taal; Olga Fink (Reliab. Eng. Syst. Saf., 2024)

Incentive Mechanism in the Sponsored Content Market With Network Effects. - Mina Montazeri; Pegah Rokhforoz; Hamed Kebriaei; Olga Fink (IEEE Trans. Comput. Soc. Syst., 2024)

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems. - Mengjie Zhao; Olga Fink (IEEE Internet Things J., 2024)

Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things. - Keivan Faghih Niresi; Hugo Bissig; Henri Baumann; Olga Fink (IEEE Internet Things J., 2024)

Domain Adaptive Unfolded Graph Neural Networks. - Zepeng Zhang; Olga Fink (AAAI, 2025)

Unseen Visual Anomaly Generation. - Han Sun; Yunkang Cao; Hao Dong 011; Olga Fink (CVPR, 2025)

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization. - Hao Dong 011; Eleni N. Chatzi; Olga Fink (ICLR, 2025)

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation. - Han Sun; Rui Gong; Ismail Nejjar; Olga Fink (ICLR, 2025)

Continuous Health State Monitoring of High-Voltage Circuit Breakers. - Chi-Ching Hsu; Gaëtan Frusque; Olga Fink; Christian M. Franck (IEEE Access, 2025)

ThermoNeRF: A multimodal Neural Radiance Field for joint RGB-thermal novel view synthesis of building facades. - Mariam Hassan; Florent Forest; Olga Fink; Malcolm Mielle (Adv. Eng. Informatics, 2025)

Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures. - Giovanni Floreale; Piero Baraldi; Enrico Zio; Olga Fink (Eng. Appl. Artif. Intell., 2025)

Interpretable prognostics with concept bottleneck models. - Florent Forest; Katharina Rombach; Olga Fink (Inf. Fusion, 2025)

Corrigendum to "Deep Koopman Operator-based degradation modelling" [Reliability Engineering and System Safety volume 251 (2024) 110351]. - Sergei Garmaev; Olga Fink (Reliab. Eng. Syst. Saf., 2025)

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers. - Chi-Ching Hsu; Gaëtan Frusque; Florent Forest; Felipe Macedo; Christian M. Franck; Olga Fink (Reliab. Eng. Syst. Saf., 2025)

Classifier-free diffusion-based weakly-supervised approach for health indicator derivation in rotating machines: Advancing early fault detection and condition monitoring. - Wenyang Hu; Gaëtan Frusque; Tianyang Wang; Fulei Chu; Olga Fink (Reliab. Eng. Syst. Saf., 2025)

Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning. - Mina Montazeri; Chetan S. Kulkarni; Olga Fink (Reliab. Eng. Syst. Saf., 2025)

Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework. - Ismail Nejjar; Hao Dong 011; Olga Fink (Trans. Mach. Learn. Res., 2025)

Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems. - Vinay Sharma; Olga Fink (CoRR, 2025)

NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery. - Sergei Garmaev; Siddhartha Mishra; Olga Fink (CoRR, 2025)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. - Hao Dong 011; Moru Liu; Kaiyang Zhou; Eleni N. Chatzi; Juho Kannala; Cyrill Stachniss; Olga Fink (CoRR, 2025)

Learning Informative Health Indicators Through Unsupervised Contrastive Learning. - Katharina Rombach; Gabriel Michau; Wilfried Bürzle; Stefan Koller; Olga Fink (IEEE Trans. Reliab., 2025)

Thermoxels: a voxel-based method to generate simulation-ready 3D thermal models. - Etienne Chassaing; Florent Forest; Olga Fink; Malcolm Mielle (CoRR, 2025)

Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems. - Vinay Sharma; Rémi Tanguy Oddon; Pietro Tesini; Jens Ravesloot; Cees Taal; Olga Fink (CoRR, 2025)

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation. - Moru Liu; Hao Dong 011; Jessica Kelly; Olga Fink; Mario Trapp (CoRR, 2025)

To Trust Or Not To Trust Your Vision-Language Model's Prediction. - Hao Dong 011; Moru Liu; Jian Liang; Eleni N. Chatzi; Olga Fink (CoRR, 2025)

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation. - Hao Dong 011; Gaëtan Frusque; Yue Zhao 016; Eleni N. Chatzi; Olga Fink (IEEE Trans. Neural Networks Learn. Syst., 2025)

Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study. - Raffael Theiler; Olga Fink (CoRR, 2025)

Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling. - Leandro Von Krannichfeldt; Kristina Orehounig; Olga Fink (CoRR, 2025)

Adapting Vision-Language Models Without Labels: A Comprehensive Survey. - Hao Dong 011; Lijun Sheng; Jian Liang; Ran He; Eleni N. Chatzi; Olga Fink (CoRR, 2025)

Algorithm-informed graph neural networks for leakage detection and localization in water distribution networks. - Zepeng Zhang; Olga Fink (Reliab. Eng. Syst. Saf., 2026)