Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation

1 code implementation • 22 Sep 2023 • Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick

This paper presents a methodological framework for training, self-optimising, and self-organising surrogate models to approximate and speed up multiobjective optimisation of technical systems based on multiphysics simulations.

Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis

no code implementations • 26 Jul 2023 • Diego Botache, Kristina Dingel, Rico Huhnstock, Arno Ehresmann, Bernhard Sick

Splitting of sequential data, such as videos and time series, is an essential step in various data analysis tasks, including object tracking and anomaly detection.

Anomaly Detection Object Tracking +2

Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders

1 code implementation • 4 May 2021 • Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick

For this purpose, we propose a novel approach that allows for the generation of out-of-distribution datasets based on a given in-distribution dataset.

Out-of-Distribution Detection Time Series Analysis +1