Timo Klock - RankMe

15 papers A* 1B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Consensus-Based Optimization Methods Converge Globally. SIAM J. Optim. Massimo Fornasier, Timo Klock, Konstantin Riedl
2023	J	`jnl`	Gradient is All You Need? CoRR Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
2022	B	`conf`	Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. EvoApplications Massimo Fornasier, Timo Klock, Konstantin Riedl
2022	J	`jnl`	Finite Sample Identification of Wide Shallow Neural Networks with Biases. CoRR Massimo Fornasier, Timo Klock, Marco Mondelli, Michael Rauchensteiner
2022	J	`jnl`	Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
2021	J	`jnl`	A deep network construction that adapts to intrinsic dimensionality beyond the domain. Neural Networks Alexander Cloninger, Timo Klock
2021	J	`jnl`	Consensus-based optimization methods converge globally in mean-field law. CoRR Massimo Fornasier, Timo Klock, Konstantin Riedl
2021	J	`jnl`	Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. CoRR Massimo Fornasier, Timo Klock, Konstantin Riedl
2021	A*	`conf`	Landscape analysis of an improved power method for tensor decomposition. NeurIPS Joe Kileel, Timo Klock, João M. Pereira
2021	J	`jnl`	Landscape analysis of an improved power method for tensor decomposition. CoRR Joe Kileel, Timo Klock, João M. Pereira
2021	J	`jnl`	Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. CoRR Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
2020	J	`jnl`	ReLU nets adapt to intrinsic dimensionality beyond the target domain. CoRR Alexander Cloninger, Timo Klock
2019	J	`jnl`	Nonlinear generalization of the single index model. CoRR Zeljko Kereta, Timo Klock, Valeriya Naumova
2019	J	`jnl`	Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. CoRR Massimo Fornasier, Timo Klock, Michael Rauchensteiner
2017	J	`jnl`	Adaptive multi-penalty regularization based on a generalized Lasso path. CoRR Markus Grasmair, Timo Klock, Valeriya Naumova