Tim Jahn

Orcid: 0000-0002-7633-8265

According to our database1, Tim Jahn authored at least 15 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
Convergence of generalized cross-validation with applications to ill-posed integral equations.
CoRR, June, 2025

Fast Summation of Radial Kernels via QMC Slicing.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Early Stopping of Untrained Convolutional Neural Networks.
SIAM J. Imaging Sci., 2024

Efficient solution of ill-posed integral equations through averaging.
CoRR, 2024

2023
Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise.
SIAM/ASA J. Uncertain. Quantification, June, 2023

2022
Noise level free regularisation of general linear inverse problems under unconstrained white noise.
CoRR, 2022

Discretisation-adaptive regularisation of statistical inverse problems.
CoRR, 2022

A Probabilistic Oracle Inequality and Quantification of Uncertainty of a modified Discrepancy Principle for Statistical Inverse Problems.
CoRR, 2022

2021
Regularising linear inverse problems under unknown non-Gaussian noise
PhD thesis, 2021

Optimal Convergence of the Discrepancy Principle for polynomially and exponentially ill-posed Operators under White Noise.
CoRR, 2021

Increasing the relative smoothness of stochastically sampled data.
CoRR, 2021

2020
Beyond the Bakushinkii veto: regularising linear inverse problems without knowing the noise distribution.
Numerische Mathematik, 2020

Regularising linear inverse problems under unknown non-Gaussian white noise.
CoRR, 2020

On the Discrepancy Principle for Stochastic Gradient Descent.
CoRR, 2020

2015
The Sensorimotor Loop as a Dynamical System: How Regular Motion Primitives May Emerge from Self-Organized Limit Cycles.
Frontiers Robotics AI, 2015


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