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Papers matching “training data” 32

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Obey validity limits of data-driven models through topological data analysis and one-class classification
2021 Optimization and Engineering article Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann, Jana M. Weber, Linus Netze, Alexander Mitsos

57

citations
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
2025 neural information processing systems conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Christopher Morris

2

citations
Informing agent-based models with spatial data using convolutional autoencoders
2026 Bioinformatics article Mathematics Mathematical Biology Tumor Growth Open access

Bi-rong Wang, Chen-yi Anita Liao, Erik H.J. Danen, Elsa Neubert, Federica Eduati

1

citations
Global Ground Metric Learning with Applications to scRNA data
2025 arXiv (Cornell University) preprint Mathematics Geometric Analysis and Curvature Flows Open access

Damin Kühn, Michael T. Schaub

0

citations
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
2022 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Elias B. Khalil, Andrea Lodi

5

citations
Statistical physics of principal minors: Cavity approach
2024 Physical review. E article Mathematics Random Matrices and Applications Open access

Abolfazl Ramezanpour, M. A. Rajabpour

0

citations
Multi-stakeholder sessions on major innovation topics in rare disease clinical trials
2024 Orphanet Journal of Rare Diseases article Mathematics Statistical Methods in Clinical Trials Open access

Daniel Bodden, Stefanie Schoenen, Stephanie Wied, Johan Verbeeck, Maya Dirani, Nicole Maria Heussen, +3 more

3

citations
Globale Prozessoptimierung durch maschinelles Lernen
2021 RWTH Publications (RWTH Aachen) book Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann

0

citations
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
2024 Diagnostic and Prognostic Research article Mathematics Statistical Methods and Inference Open access

Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne‐Laure Boulesteix, Ben Van Calster

149

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations
Dynamic prediction of survival using multivariate functional principal component analysis: A strict landmarking approach
2024 Statistical Methods in Medical Research article Mathematics Statistical Methods and Inference Open access

Daniel Gomon, Hein Putter, Marta F. Fiocco, Mirko Signorelli

9

citations
A supervised deep learning method for nonparametric density estimation
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Thijs Bos, Johannes Schmidt-Hieber

2

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

5

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2023 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Wavelet-Based Parity Detection Revisited: Representation Dependence, Generalization, and Mechanistic Analysis
2025 arXiv (Cornell University) preprint Mathematics Mathematical Analysis and Transform Methods Open access

Ertugrul Mutlu

0

citations
Estimating the Sample Size Required to Minimize Model Uncertainty Across Different Risk Profiles
2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT) conference-paper Mathematics Statistical Methods in Epidemiology Open access

Fleur Vereijken, Jenna Reps, Egill Axfjord Fridgeirsson, Toby Hackmann, Ewout Willem Steyerberg, Peter R. Rijnbeek, +1 more

0

citations
Feasibility of Machine Learning and Logistic Regression Algorithms to Predict Outcome in Orthopaedic Trauma Surgery
2021 Journal of Bone and Joint Surgery article Mathematics Statistical Methods in Epidemiology Open access

Joseph Hasbrouck Schwab

51

citations
Statistical models versus machine learning for competing risks: development and validation of prognostic models
2023 BMC Medical Research Methodology article Mathematics Statistical Methods and Inference Open access

Georgios Kantidakis, Hein Putter, Saskia Litière, Marta F. Fiocco

28

citations
Deterministic global optimization with Gaussian processes embedded
2021 Mathematical Programming Computation article Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromił Najman, +1 more

47

citations
Global Optimization of Gaussian processes
2020 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromił Najman, +1 more

5

citations
Classical Mathematical Models for Prediction of Response to Chemotherapy and Immunotherapy
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Kateřina Staňková, Alexander T. Pearson, Hannah Sophie Muti, +4 more

14

citations
Bundesweites Belastungsmodell für Intensivstationen durch COVID-19
2021 Medizinische Klinik - Intensivmedizin und Notfallmedizin article Mathematics COVID-19 epidemiological studies Open access

Andreas Schuppert, Silke Theisen, Paul Henry Frankel, Steffen Weber‐Carstens, Christian Karagiannidis

11

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
Machine-learned R13 moment closures for shock-dominated rarefied gas flows
2026 Computers & Fluids article Mathematics Gas Dynamics and Kinetic Theory Open access

Hang Song, Satyvir Singh, Semih Çaycı, Manuel Torrilhon

1

citations