no code implementations • 24 May 2024 • Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
We consider the problem of learning the dynamics in the topology of time-evolving point clouds, the prevalent spatiotemporal model for systems exhibiting collective behavior, such as swarms of insects and birds or particles in physics.
1 code implementation • NeurIPS 2023 • Sebastian Zeng, Florian Graf, Roland Kwitt
We consider the problem of variational Bayesian inference in a latent variable model where a (possibly complex) observed stochastic process is governed by the solution of a latent stochastic differential equation (SDE).
1 code implementation • 16 Feb 2022 • Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt
We study the excess capacity of deep networks in the context of supervised classification.
no code implementations • NeurIPS 2021 • Sebastian Zeng, Florian Graf, Christoph Hofer, Roland Kwitt
The problem of (point) forecasting $ \textit{univariate} $ time series is considered.