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Papers matching “deep learning training” 7

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A supervised deep learning method for nonparametric density estimation
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Thijs Bos, Johannes Schmidt-Hieber

2

citations
A supervised deep learning method for nonparametric density estimation
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Thijs Bos, Johannes Schmidt-Hieber

0

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations
Globale Prozessoptimierung durch maschinelles Lernen
2021 RWTH Publications (RWTH Aachen) book Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann

0

citations

7 results