Search Results for author: Jan Achterhold

Found 5 papers, 3 papers with code

Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models

1 code implementation22 Feb 2021 Jan Achterhold, Joerg Stueckler

In this paper, we learn dynamics models for parametrized families of dynamical systems with varying properties.

reinforcement-learning

Planning from Images with Deep Latent Gaussian Process Dynamics

1 code implementation L4DC 2020 Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler

We propose to learn a deep latent Gaussian process dynamics (DLGPD) model that learns low-dimensional system dynamics from environment interactions with visual observations.

Gaussian Processes Transfer Learning

Variational Network Quantization

no code implementations ICLR 2018 Jan Achterhold, Jan Mathias Koehler, Anke Schmeink, Tim Genewein

In this paper, the preparation of a neural network for pruning and few-bit quantization is formulated as a variational inference problem.

Quantization Variational Inference

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