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Timo Klock
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2020 – today
- 2024
- [j2]Massimo Fornasier, Timo Klock, Konstantin Riedl:
Consensus-Based Optimization Methods Converge Globally. SIAM J. Optim. 34(3): 2973-3004 (2024) - 2023
- [i11]Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier:
Gradient is All You Need? CoRR abs/2306.09778 (2023) - 2022
- [c2]Massimo Fornasier
, Timo Klock
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. EvoApplications 2022: 738-754 - [i10]Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai:
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR abs/2208.10570 (2022) - [i9]Massimo Fornasier, Timo Klock, Marco Mondelli, Michael Rauchensteiner:
Finite Sample Identification of Wide Shallow Neural Networks with Biases. CoRR abs/2211.04589 (2022) - 2021
- [j1]Alexander Cloninger, Timo Klock
A deep network construction that adapts to intrinsic dimensionality beyond the domain. Neural Networks 141: 404-419 (2021) - [c1]Joe Kileel, Timo Klock, João M. Pereira:
Landscape analysis of an improved power method for tensor decomposition. NeurIPS 2021: 6253-6265 - [i8]Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner:
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. CoRR abs/2101.07150 (2021) - [i7]Massimo Fornasier, Timo Klock, Konstantin Riedl:
Consensus-based optimization methods converge globally in mean-field law. CoRR abs/2103.15130 (2021) - [i6]Joe Kileel, Timo Klock, João M. Pereira:
Landscape analysis of an improved power method for tensor decomposition. CoRR abs/2110.15821 (2021) - [i5]Massimo Fornasier, Timo Klock, Konstantin Riedl:
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. CoRR abs/2111.08136 (2021) - 2020
- [i4]Alexander Cloninger, Timo Klock:
ReLU nets adapt to intrinsic dimensionality beyond the target domain. CoRR abs/2008.02545 (2020)
2010 – 2019
- 2019
- [i3]Zeljko Kereta, Timo Klock, Valeriya Naumova:
Nonlinear generalization of the single index model. CoRR abs/1902.09024 (2019) - [i2]Massimo Fornasier, Timo Klock, Michael Rauchensteiner:
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. CoRR abs/1907.00485 (2019) - 2017
- [i1]Markus Grasmair, Timo Klock, Valeriya Naumova:
Adaptive multi-penalty regularization based on a generalized Lasso path. CoRR abs/1710.03971 (2017)
Coauthor Index
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