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Timo Klock
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 14
Top Topics
Pairwise
Number Of Hidden Units
Intrinsic Dimensionality
Neural Network
Top Venues
CoRR
EvoApplications
Neural Networks
NeurIPS
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Publications
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Konstantin Riedl
,
Timo Klock
,
Carina Geldhauser
,
Massimo Fornasier
Gradient is All You Need?
CoRR
(2023)
Massimo Fornasier
,
Timo Klock
,
Marco Mondelli
,
Michael Rauchensteiner
Finite Sample Identification of Wide Shallow Neural Networks with Biases.
CoRR
(2022)
Massimo Fornasier
,
Timo Klock
,
Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.
EvoApplications
(2022)
Stefan C. Schonsheck
,
Scott Mahan
,
Timo Klock
,
Alexander Cloninger
,
Rongjie Lai
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders.
CoRR
(2022)
Joe Kileel
,
Timo Klock
,
João M. Pereira
Landscape analysis of an improved power method for tensor decomposition.
NeurIPS
(2021)
Massimo Fornasier
,
Timo Klock
,
Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.
CoRR
(2021)
Massimo Fornasier
,
Timo Klock
,
Konstantin Riedl
Consensus-based optimization methods converge globally in mean-field law.
CoRR
(2021)
Joe Kileel
,
Timo Klock
,
João M. Pereira
Landscape analysis of an improved power method for tensor decomposition.
CoRR
(2021)
Alexander Cloninger
,
Timo Klock
A deep network construction that adapts to intrinsic dimensionality beyond the domain.
Neural Networks
141 (2021)
Christian Fiedler
,
Massimo Fornasier
,
Timo Klock
,
Michael Rauchensteiner
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples.
CoRR
(2021)
Alexander Cloninger
,
Timo Klock
ReLU nets adapt to intrinsic dimensionality beyond the target domain.
CoRR
(2020)
Massimo Fornasier
,
Timo Klock
,
Michael Rauchensteiner
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks.
CoRR
(2019)
Zeljko Kereta
,
Timo Klock
,
Valeriya Naumova
Nonlinear generalization of the single index model.
CoRR
(2019)
Markus Grasmair
,
Timo Klock
,
Valeriya Naumova
Adaptive multi-penalty regularization based on a generalized Lasso path.
CoRR
(2017)