Johannes Dornheim

Orcid: 0000-0002-2752-0554

According to our database1, Johannes Dornheim authored at least 10 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties.
J. Intell. Manuf., April, 2024

2023
Machine learning for structure-guided materials and process design.
CoRR, 2023

2022
Deep reinforcement learning methods for structure-guided processing path optimization.
J. Intell. Manuf., 2022

gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach.
CoRR, 2022

2021
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization.
CoRR, 2021

2020
Structure-Guided Processing Path Optimization with Deep Reinforcement Learning.
CoRR, 2020

Joint Optimization for Multi-person Shape Models from Markerless 3D-Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes.
CoRR, 2018

Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning.
CoRR, 2018

2015
Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning.
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015


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