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Papers matching “learning potential” 294

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SPARC: A Computational Framework for Prediction of Infrared Spectra for Zeolitic Catalyst Systems via Machine Learning of Born Effective Charges and Atomic Velocities
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Hairong Cheng, Huarong Lei, Princy Jarngal, Peirong Chen, Abhishek Khetan

0

citations
Graph Machine Learning for Design of High-Octane Fuels
2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, +3 more

0

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

0

citations
Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model
2021 preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access cited by 1 patent

Thomas Nagler, Robin James Hogan

12

citations
Machine learning inference of natural product chemistry across biosynthetic gene cluster types
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Microbial Natural Products and Biosynthesis Open access

Martin F. Larralde, Georg Zeller

4

citations
Prediction of heart transplant rejection from routine pathology slides with self-supervised Deep Learning
2022 medRxiv preprint Computer Science AI in cancer detection Open access

Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Buelow, +11 more

4

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI
2024 arXiv (Cornell University) preprint Medicine Advanced MRI Techniques and Applications Open access

André Filipe Ferreira, Behrus Puladi, Jan Egger, Victor Alves

1

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
A call to ensure reproducibility of machine learning applications in industrial ecology
2026 Research Square preprint Decision Sciences Scientific Computing and Data Management Open access

Keagan Hudson Rankin, Franco Donati, Qingshi Tu, Jesse Ward-Bond, Nolan Reitz, Brianna Hiser, +5 more

1

citations
ProcK: Machine Learning for Knowledge-Intensive Processes
2021 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler

1

citations
Three-Dimensional Damage Characterisation in Dual Phase Steel using Deep Learning
2023 arXiv (Cornell University) preprint Engineering Microstructure and Mechanical Properties of Steels Open access

Setareh Medghalchi, Sang-Hyeok Lee, Benjamin Berkels, U. Kerzel, Sandra Korte‐Kerzel

0

citations
Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods
2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access

Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam

0

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
HECTOR: multimodal deep learning predicts recurrence risk in endometrial cancer
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Sarah Volinsky-Fremond, Nanda Horeweg, Sonali Andani, Jurriaan Barkey Wolf, Maxime W. Lafarge, Cor Doede de Kroon, +19 more

0

citations
More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research
2025 arXiv (Cornell University) preprint Decision Sciences Scientific Computing and Data Management Open access

Moritz Wolter, Lokesh Veeramacheneni

0

citations
Cross-Attention Multimodal Learning for Predicting Response to Neoadjuvant Imatinib in Gastrointestinal Stromal Tumors: A Multicenter Retrospective Study
2026 arXiv (Cornell University) preprint Medicine Gastrointestinal Tumor Research and Treatment Open access

Fariba Tohidinezhad, Douwe J. Spaanderman, Natalia Oviedo Acosta, Kaouther Mouheb, Karthik Prathaban, David F. Hanff, +11 more

0

citations
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ricky Maulana Fajri, Akrati Saxena, Mykola Pechenizkiy

0

citations
Medical educators’ beliefs about teaching, learning, and knowledge: development of a new framework
2021 Research Square preprint Medicine Innovations in Medical Education Open access

Marleen W. Ottenhoff- de Jonge, Iris van der Hoeven, Neil Gesundheit, Roeland Matthijs van der Rijst, Anneke W. M. Kramer

0

citations
Classification of Recurrence Status After Surgical Treatment of Chronic Subdural Hemorrhage – A Machine Learning Approach
2026 medRxiv preprint Medicine Neurosurgical Procedures and Complications Open access

Hussam Aldin Hamou, Julius M. Kernbach, Hani Ridwan, Kimberley Rodrian, Hans Clusmann, Anke Höllig, +1 more

0

citations
On Dequantization of Supervised Quantum Machine Learning via Random Fourier Features
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Mehrad Sahebi, Alice Barthe, Yudai Suzuki, Zoë Holmes, Michele Grossi

2

citations
Machine Learning Analysis to Define Cell Lineage in Leiomyosarcoma
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Sarcoma Diagnosis and Treatment

David G.P. van IJzendoorn, Joanna Przybył, Trevor J. Hastie, Judith V.M.G. Bovée, Magdalena Matusiak, Matt van de Rijn

0

citations
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
2024 arXiv (Cornell University) preprint Engineering Elasticity and Material Modeling Open access

Hagen Holthusen, Tim Brepols, Kevin Linka, Ellen Kuhl

0

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

1

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations