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Papers matching “machine learning framework” 113

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On Signal Peak Power Constraint of Over-the-Air Federated Learning
2025 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Lorenz Bielefeld, Paul Zheng, Oner Hanay, Yao Zhu, Yulin Hu, Anke Schmeink

0

citations
Embedding an ANN-Based Crystal Plasticity Model into the Finite Element Framework using an ABAQUS User-Material Subroutine
2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Yousef Heider, Bernd A. Markert

0

citations
Abnormality-Driven Representation Learning for Radiology Imaging
2024 arXiv (Cornell University) preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access

Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather

0

citations
A Hybrid Modeling Framework for Generalizable and Interpretable Predictions of ICU Mortality: Leveraging ICD Codes in a Multi-Hospital Study of Mechanically Ventilated Influenza Patients
2023 Research Square preprint Computer Science Machine Learning in Healthcare Open access

Moein E. Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, Hedieh Mirzaieazar, Konstantin Sharafutdinov, Sebastian Johannes Fritsch, +1 more

2

citations
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka

0

citations
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka

0

citations
Evolving Executable Pipeline Programs for AutoML with Language Models
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Sofoklis Kitharidis, Cor J. Veenman, Jan N. van Rijn, Thomas Bäck, Bas van Stein

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
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
Histological triage of early-stage mycosis fungoides using a weakly supervised deep learning-based model: a multicentre, external validation, and clinical utility study
2026 medRxiv preprint Medicine Cutaneous lymphoproliferative disorders research Open access

Thom Doeleman, Siemen Brussee, P. Valkema, Werner Kempf, Maarten Vermeer, Jesper Kers, +13 more

0

citations
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Martin Aubard, László Antal, Ana Maria Madureira, Luís Filipe Teixeira, Erika Ábrahám

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
Auto deep learning for bioacoustic signals
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Giulio Tosato, Joshua Luke Janssen, Kees Kamp, Pramatya Jati, Dan Stowell

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
Atomate2: Modular workflows for materials science
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Alex M. Ganose, Hrushikesh P. Sahasrabuddhe, Mark Asta, Tathagata Biswas, Alexander Bonkowski, Joana Bustamante, +46 more

8

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Huesener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Huesener, Michael Schluse, Juergen Rossmann

0

citations
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael P. Schaub, +4 more

0

citations
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
2026 arXiv (Cornell University) preprint Computer Science Distributed Sensor Networks and Detection Algorithms Open access

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

0

citations
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
2026 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access

Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka

1

citations
A unified weighting framework for evaluating nearest neighbour classification
2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Henri Bollaert, Chris Cornelis

0

citations
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

citations
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
2021 arXiv (Cornell University) preprint Engineering Stability and Control of Uncertain Systems Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations