Lukas Morand

Orcid: 0000-0002-8566-7642

According to our database1, Lukas Morand authored at least 10 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and cooper applications.
CoRR, 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

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

Compensating Data Shortages in Manufacturing with Monotonicity Knowledge.
Algorithms, 2021

CupNet - Pruning a Network for Geometric Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Compensating data shortages in manufacturing with monotonicity knowledge.
CoRR, 2020

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

2019
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019


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