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Olga Fink

Showing results (1-10 of 14) with videos related to

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Sensors (Basel, Switzerland)|December 17, 2024
Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault DiagnosisFlorent Forest, Olga Fink
Nature Communications|January 15, 2026
A physics-informed graph neural network conserving linear and angular momentum for dynamical systemsVinay Sharma, Olga Fink
Nature Communications|July 27, 2025
Integrating physics and topology in neural networks for learning rigid body dynamicsAmaury Wei, Olga Fink
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2015
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series PredictionRonay Ak, Olga Fink, Enrico Zio
Proceedings of the National Academy of Sciences of the United States of America|February 19, 2022
Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time seriesGabriel Michau, Gaetan Frusque, Olga Fink
Sensors (Basel, Switzerland)|June 2, 2021
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault TypesKatharina Rombach, Gabriel Michau, Olga Fink
PNAS Nexus|January 30, 2023
Learning physics-consistent particle interactionsZhichao Han, David S Kammer, Olga Fink
Sensors (Basel, Switzerland)|April 3, 2021
Interpretable Detection of Partial Discharge in Power Lines with Deep LearningGabriel Michau, Chi-Ching Hsu, Olga Fink
Nature Communications|April 12, 2024
Collective relational inference for learning heterogeneous interactionsZhichao Han, Olga Fink, David S Kammer
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly GenerationHao Dong, Gaetan Frusque, Yue Zhao, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|December 17, 2024
Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault DiagnosisFlorent Forest, Olga Fink
Nature Communications|January 15, 2026
A physics-informed graph neural network conserving linear and angular momentum for dynamical systemsVinay Sharma, Olga Fink
Nature Communications|July 27, 2025
Integrating physics and topology in neural networks for learning rigid body dynamicsAmaury Wei, Olga Fink
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2015
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series PredictionRonay Ak, Olga Fink, Enrico Zio
Proceedings of the National Academy of Sciences of the United States of America|February 19, 2022
Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time seriesGabriel Michau, Gaetan Frusque, Olga Fink
Sensors (Basel, Switzerland)|June 2, 2021
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault TypesKatharina Rombach, Gabriel Michau, Olga Fink
PNAS Nexus|January 30, 2023
Learning physics-consistent particle interactionsZhichao Han, David S Kammer, Olga Fink
Sensors (Basel, Switzerland)|April 3, 2021
Interpretable Detection of Partial Discharge in Power Lines with Deep LearningGabriel Michau, Chi-Ching Hsu, Olga Fink
Nature Communications|April 12, 2024
Collective relational inference for learning heterogeneous interactionsZhichao Han, Olga Fink, David S Kammer
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly GenerationHao Dong, Gaetan Frusque, Yue Zhao, et al.
Pageof 2