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Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
4citations -
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Protein Structure and Dynamics Open access
Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari
11citations -
A data-driven analysis of fiber type architecture over the entire muscle2020 preprint Biochemistry, Genetics and Molecular Biology Muscle Physiology and Disorders Open access
Davide Bindellini, Lenard M. Voortman, Cyriel Sebastiaan Olie, Maaike van Putten, Erik B. van den Akker, Vered Raz
0citations -
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access
Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +9 more
0citations -
Collaborative network analysis for the interpretation of transcriptomics data in rare diseases, an application to Huntington’s disease2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access
Ozan Özışık, Tooba Abbassi‐Daloii, Morgane Térézol, Núria Queralt-Rosiñach, Annika Jacobsen, Osman Uğur Sezerman, +5 more
0citations -
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
0citations -
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access
David Stenger, Paul Brunzema, Johanna Menn, Alexander von Rohr, Angela P. Schoellig, Sebastian Trimpe
0citations