The Stationary Subspace Analysis Toolbox. - Jan Saputra Müller; Paul von Bünau; Frank C. Meinecke; Franz J. Király; Klaus-Robert Müller (J. Mach. Learn. Res., 2011)

An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. - Franz J. Király; Andreas Ziehe; Klaus-Robert Müller (LVA/ICA, 2012)

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion. - Franz J. Király; Ryota Tomioka (ICML, 2012)

The Algebraic Combinatorial Approach for Low-Rank Matrix Completion - Franz J. Király; Louis Theran; Ryota Tomioka; Takeaki Uno (CoRR, 2012)

Algebraic Geometric Comparison of Probability Distributions. - Franz J. Király; Paul von Bünau; Frank C. Meinecke; Duncan A. J. Blythe; Klaus-Robert Müller (J. Mach. Learn. Res., 2012)

Regression for sets of polynomial equations. - Franz J. Király; Paul von Bünau; Jan Saputra Müller; Duncan A. J. Blythe; Frank C. Meinecke; Klaus-Robert Müller (AISTATS, 2012)

Approximate rank-detecting factorization of low-rank tensors. - Franz J. Király; Andreas Ziehe (ICASSP, 2013)

Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion. - Franz J. Király; Louis Theran (NIPS, 2013)

Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning. - Franz J. Király (CoRR, 2013)

Coherence and sufficient sampling densities for reconstruction in compressed sensing - Franz J. Király; Louis Theran (CoRR, 2013)

Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. - Franz J. Király; Martin Ehler (AISTATS, 2014)

The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. - Franz J. Király; Martin Ehler (CoRR, 2014)

Dual-to-kernel learning with ideals. - Franz J. Király; Martin Kreuzer; Louis Theran (CoRR, 2014)

Learning with Cross-Kernels and Ideal PCA. - Franz J. Király; Martin Kreuzer; Louis Theran (CoRR, 2014)

Matroid Regression. - Franz J. Király; Louis Theran (CoRR, 2014)

Learning with Algebraic Invariances, and the Invariant Kernel Trick. - Franz J. Király; Andreas Ziehe; Klaus-Robert Müller (CoRR, 2014)

Fano schemes of generic intersections and machine learning. - Paul Larsen; Franz J. Király (Int. J. Algebra Comput., 2014)

The algebraic combinatorial approach for low-rank matrix completion. - Franz J. Király; Louis Theran; Ryota Tomioka (J. Mach. Learn. Res., 2015)

Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population. - Bilal A. Mateen; Matthias Bussas; Catherine Doogan; Denise Waller; Alessia Saverino; Franz J. Király; E. Diane Playford (CoRR, 2016)

Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. - Franz J. Király; Zhaozhi Qian (CoRR, 2017)

Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling. - Samuel Burkart; Franz J. Király (CoRR, 2017)

Entry-wise Matrix Completion from Noisy Entries. - Zahra Sabetsarvestani; Franz J. Király; Miguel R. D. Rodrigues (EUSIPCO, 2018)

Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. - Zahra Sabetsarvestani; Francesco Renna; Franz J. Király; Miguel R. D. Rodrigues (GlobalSIP, 2018)

Probabilistic supervised learning. - Frithjof Gressmann; Franz J. Király; Bilal A. Mateen; Harald Oberhauser (CoRR, 2018)

NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature. - Franz J. Király; Bilal A. Mateen; Raphael Sonabend (CoRR, 2018)

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. - Sebastian J. Vollmer; Bilal A. Mateen; Gergo Bohner; Franz J. Király; Rayid Ghani; Pall Jonsson; Sarah Cumbers; Adrian Jonas; Katherine S. L. McAllister; Puja Myles; David Granger; Mark Birse; et al. (CoRR, 2018)

Machine Learning Automation Toolbox (MLaut). - Viktor Kazakov; Franz J. Király (CoRR, 2019)

Design choices for productive, secure, data-intensive research at scale in the cloud. - Diego Arenas; Jon Atkins; Clare Austin; David Beavan; Alvaro Cabrejas Egea; Stephen Carlysle-Davies; Ian Carter; Rob Clarke; James Cunningham; Tom Doel; Oliver Forrest; Evelina Gabasova; et al. (CoRR, 2019)

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency. - Anthony J. Bagnall; Franz J. Király; Markus Löning; Matthew Middlehurst; George Oastler (CoRR, 2019)

sktime: A Unified Interface for Machine Learning with Time Series. - Markus Löning; Anthony J. Bagnall; Sajaysurya Ganesh; Viktor Kazakov; Jason Lines; Franz J. Király (CoRR, 2019)

Kernels for Sequentially Ordered Data. - Franz J. Király; Harald Oberhauser (J. Mach. Learn. Res., 2019)

Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Correction to: Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Kernels for time series with irregularly-spaced multivariate observations. - Ahmed Guecioueur; Franz J. Király (CoRR, 2020)

Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study. - Markus Löning; Franz J. Király (CoRR, 2020)

mlr3proba: Machine Learning Survival Analysis in R. - Raphael Sonabend; Franz J. Király; Andreas Bender 001; Bernd Bischl; Michel Lang (CoRR, 2020)

MLJ: A Julia package for composable machine learning. - Anthony D. Blaom; Franz J. Király; Thibaut Liénart; Yiannis Simillides; Diego Arenas; Sebastian J. Vollmer (J. Open Source Softw., 2020)

set6: R6 Mathematical Sets Interface. - Raphael Sonabend; Franz J. Király (J. Open Source Softw., 2020)

Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. - Zahra Sabetsarvestani; Francesco Renna; Franz J. Király; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2020)

mlr3proba: an R package for machine learning in survival analysis. - Raphael Sonabend; Franz J. Király; Andreas Bender 001; Bernd Bischl; Michel Lang (Bioinform., 2021)

Designing Machine Learning Toolboxes: Concepts, Principles and Patterns. - Franz J. Király; Markus Löning; Anthony D. Blaom; Ahmed Guecioueur; Raphael Sonabend (CoRR, 2021)

distr6: R6 Object-Oriented Probability Distributions Interface in R. - Raphael Sonabend; Franz J. Király (R J., 2021)

LLM Interactive Optimization of Open Source Python Libraries - Case Studies and Generalization. - Andreas Florath; Franz J. Király (CoRR, 2023)