Lukas Morand

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Expert Knowledge

Representer Theorem

Reinforcement Learning Methods

Enormous Amounts

Top Venues

J. Intell. Manuf.

Publications

Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. J. Intell. Manuf. 35 (4) (2024)
Yoav Nahshon, Lukas Morand, Matthias Büschelberger, Dirk Helm, Kiran Kumaraswamy, Paul Zierep, Matthias Weber, Pablo de Andrés
Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and cooper applications. CoRR (2024)
Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm
Machine learning for structure-guided materials and process design. CoRR (2023)
Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm
Deep reinforcement learning methods for structure-guided processing path optimization. J. Intell. Manuf. 33 (1) (2022)
Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm
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)
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
CupNet - Pruning a Network for Geometric Data. ICANN (4) (2021)
Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Jan Schwientek, Anke Stoll
Compensating Data Shortages in Manufacturing with Monotonicity Knowledge. Algorithms 14 (12) (2021)
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
CupNet - Pruning a network for geometric data. CoRR (2020)
Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Anke Stoll
Compensating data shortages in manufacturing with monotonicity knowledge. CoRR (2020)
Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm
Structure-Guided Processing Path Optimization with Deep Reinforcement Learning. CoRR (2020)
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. CoRR (2019)
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. ICANN (Workshop) (2019)