Florian Rossmannek

17 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Echoes of the past: A unified perspective on fading memory and echo states. CoRR Juan-Pablo Ortega, Florian Rossmannek
2025	J	`jnl`	Fading Memory and the Convolution Theorem. IEEE Trans. Autom. Control. Juan-Pablo Ortega, Florian Rossmannek
2025	J	`jnl`	Stochastic dynamics learning with state-space systems. CoRR Juan-Pablo Ortega, Florian Rossmannek
2024	J	`jnl`	Fading memory and the convolution theorem. CoRR Juan-Pablo Ortega, Florian Rossmannek
2024	J	`jnl`	Gradient Descent Provably Escapes Saddle Points in the Training of Shallow ReLU Networks. J. Optim. Theory Appl. Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2024	J	`jnl`	State-Space Systems as Dynamic Generative Models. CoRR Juan-Pablo Ortega, Florian Rossmannek
2023	J	`jnl`	Efficient Sobolev approximation of linear parabolic PDEs in high dimensions. CoRR Patrick Cheridito, Florian Rossmannek
2023	—	`—`	The curse of dimensionality and gradient-based training of neural networks: shrinking the gap between theory and applications. Florian Rossmannek
2022	J	`jnl`	A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions. J. Complex. Patrick Cheridito, Arnulf Jentzen, Adrian Riekert, Florian Rossmannek
2022	J	`jnl`	Efficient Approximation of High-Dimensional Functions With Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2022	J	`jnl`	Gradient descent provably escapes saddle points in the training of shallow ReLU networks. CoRR Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2022	J	`jnl`	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Affine Target Functions. J. Nonlinear Sci. Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2021	J	`jnl`	A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions. CoRR Patrick Cheridito, Arnulf Jentzen, Adrian Riekert, Florian Rossmannek
2021	J	`jnl`	Landscape analysis for shallow ReLU neural networks: complete classification of critical points for affine target functions. CoRR Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2021	J	`jnl`	Non-convergence of stochastic gradient descent in the training of deep neural networks. J. Complex. Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2020	J	`jnl`	Non-convergence of stochastic gradient descent in the training of deep neural networks. CoRR Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
2019	J	`jnl`	Efficient approximation of high-dimensional functions with deep neural networks. CoRR Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek