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Jonathan Pirnay
Jonathan Pirnay
Research Assistant, Technical University of Munich
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Inpainting transformer for anomaly detection
J Pirnay, K Chai
International Conference on Image Analysis and Processing, 394-406, 2022
1432022
Quantum algorithms for process parallel flexible job shop scheduling
B Denkena, F Schinkel, J Pirnay, S Wilmsmeier
CIRP Journal of Manufacturing Science and Technology 33, 100-114, 2021
482021
Superior protein thermophilicity prediction with protein language model embeddings
F Haselbeck, M John, Y Zhang, J Pirnay, JP Fuenzalida-Werner, ...
NAR Genomics and Bioinformatics 5 (4), lqad087, 2023
32023
Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components
Q Göttl, J Pirnay, DG Grimm, J Burger
Computers & Chemical Engineering 177, 108321, 2023
12023
Policy-Based Self-Competition for Planning Problems
J Pirnay, Q Göttl, J Burger, DG Grimm
International Conference on Learning Representations, 2023
12023
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
J Pirnay, DG Grimm
arXiv preprint arXiv:2403.15180, 2024
2024
Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge
Q Göttl, J Pirnay, J Burger, DG Grimm
arXiv preprint arXiv:2310.06415, 2023
2023
Method and apparatus for analyzing a product, training method, system, computer program, and computer-readable storage medium
F Rothmund, S Agarwal, L Casas, K Chai, M Bößl, S Mahajan, J Pirnay, ...
US Patent App. 17/868,044, 2023
2023
Deep Reinforcement Learning Enables Conceptual Design of Processes for Separating Azeotropic Mixtures Without Prior Knowledge
Q Göttl, J Pirnay, J Burger, DG Grimm
Available at SSRN 4776784, 0
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