Publications by authors named "Olga Fink"

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Integrating physics and topology in neural networks for learning rigid body dynamics.
Amaury Wei, Olga Fink

Nat Commun· July 2025

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NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation.
Hao Dong, Gaetan Frusque, Yue Zhao, Eleni Chatzi, Olga Fink

IEEE Trans Neural Netw Learn Syst· June 2025

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Interactive symbolic regression with co-design mechanism through offline reinforcement learning.
Yuan Tian, Wenqi Zhou, Michele Viscione, Hao Dong, David S Kammer, Olga Fink

Nat Commun· April 2025

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Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis.
Florent Forest, Olga Fink

Sensors (Basel)· November 2024

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GEMTELLIGENCE: Accelerating gemstone classification with deep learning.
Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler, Abhigyan Ghosh, Peter Tollan, Olga Fink

Commun Eng· August 2024

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Collective relational inference for learning heterogeneous interactions.
Zhichao Han, Olga Fink, David S Kammer

Nat Commun· April 2024

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Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis.
Tianfu Li, Chuang Sun, Olga Fink, Yuangui Yang, Xuefeng Chen

IEEE Trans Cybern· January 2024

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Learning physics-consistent particle interactions.
Zhichao Han, David S Kammer, Olga Fink

PNAS Nexus· November 2022

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Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series.
Gabriel Michau, Gaetan Frusque, Olga Fink

Proc Natl Acad Sci U S A· February 2022

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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 (Basel)· May 2021

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

Sensors (Basel)· March 2021

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Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.
Ronay Ak, Olga Fink, Enrico Zio

IEEE Trans Neural Netw Learn Syst· August 2016

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