no code implementations • 22 Apr 2024 • Leonard Bereska, Efstratios Gavves
Understanding AI systems' inner workings is critical for ensuring value alignment and safety.
1 code implementation • 6 Jul 2022 • Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz
In many scientific disciplines, we are interested in inferring the nonlinear dynamical system underlying a set of observed time series, a challenging task in the face of chaotic behavior and noise.
1 code implementation • 27 Jun 2022 • Leonard Bereska, Efstratios Gavves
Our results suggest that reservoir computing is a promising candidate framework for the continual learning of dynamical systems.
no code implementations • 29 Sep 2021 • Manuel Brenner, Leonard Bereska, Jonas Magdy Mikhaeil, Florian Hess, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz
In many scientific disciplines, we are interested in inferring the nonlinear dynamical system underlying a set of observed time series, a challenging task in the face of chaotic behavior and noise.
2 code implementations • CVPR 2019 • Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
Large intra-class variation is the result of changes in multiple object characteristics.
Ranked #3 on Unsupervised Human Pose Estimation on Human3.6M