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Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
Free accessArXiv | 2020| -
Machine Learning based Global Particle Identification Algorithms at the LHCb Experiment
Free accessDOAJ | 2019| -
Latent Neural Stochastic Differential Equations for Change Point Detection
Free accessArXiv | 2022| -
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog
Free accessArXiv | 2020| -
GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets
Free accessArXiv | 2017| -
Understanding of the properties of neural network approaches for transient light curve approximations
Free accessArXiv | 2022| -
Understanding of the properties of neural network approaches for transient light curve approximations★
Free accessEDP Sciences | 2023| -
Stokes Inversion Techniques with Neural Networks: Analysis of Uncertainty in Parameter Estimation
Springer Verlag | 2023| -
Stokes inversion techniques with neural networks: analysis of uncertainty in parameter estimation
Free accessArXiv | 2022|
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