Franz J. Király

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 28

Top Topics

Source Separation

Survival Analysis

Matrix Completion

Top Venues

J. Mach. Learn. Res.

J. Open Source Softw.

Publications

Andreas Florath, Franz J. Király
LLM Interactive Optimization of Open Source Python Libraries - Case Studies and Generalization. CoRR (2023)
Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
mlr3proba: an R package for machine learning in survival analysis. Bioinform. 37 (17) (2021)
Franz J. Király, Markus Löning, Anthony D. Blaom, Ahmed Guecioueur, Raphael Sonabend
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns. CoRR (2021)
Raphael Sonabend, Franz J. Király
distr6: R6 Object-Oriented Probability Distributions Interface in R. R J. 13 (1) (2021)
Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. IEEE Trans. Signal Process. 68 (2020)
Ahmed Guecioueur, Franz J. Király
Kernels for time series with irregularly-spaced multivariate observations. CoRR (2020)
Raphael Sonabend, Franz J. Király
set6: R6 Mathematical Sets Interface. J. Open Source Softw. 5 (55) (2020)
Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable Machine Learning. CoRR (2020)
Raphael Sonabend, Franz J. Király
distr6: R6 Object-Oriented Probability Distributions Interface in R. CoRR (2020)
Markus Löning, Franz J. Király
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study. CoRR (2020)
Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable machine learning. J. Open Source Softw. 5 (55) (2020)
Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
mlr3proba: Machine Learning Survival Analysis in R. CoRR (2020)
Diego Arenas, Jon Atkins, Clare Austin, David Beavan, Alvaro Cabres Egea, Stephen Carlysle-Davies, Ian Carter, Rob Clarke, James Cunningham, Tom Doel, Oliver Forrest, Evelina Gabasova, James Geddes, James Hetherington, Radka Jersakova, Franz J. Király, Catherine Lawrence, Jules Manser, Martin T. O'Reilly, James Robinson, Helen Sherwood-Taylor, Serena Tierney, Catalina A. Vallejos, Sebastian J. Vollmer, Kirstie J. Whitaker
Design choices for productive, secure, data-intensive research at scale in the cloud. CoRR (2019)
Franz J. Király, Harald Oberhauser
Kernels for Sequentially Ordered Data. J. Mach. Learn. Res. 20 (2019)
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
Correction to: Modeling outcomes of soccer matches. Mach. Learn. 108 (2) (2019)
Anthony J. Bagnall, Franz J. Király, Markus Löning, Matthew Middlehurst, George Oastler
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency. CoRR (2019)
Viktor Kazakov, Franz J. Király
Machine Learning Automation Toolbox (MLaut). CoRR (2019)
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
Modeling outcomes of soccer matches. Mach. Learn. 108 (1) (2019)
Markus Löning, Anthony J. Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, Franz J. Király
sktime: A Unified Interface for Machine Learning with Time Series. CoRR (2019)
Zahra Sabetsarvestani, Franz J. Király, Miguel R. D. Rodrigues
Entry-wise Matrix Completion from Noisy Entries. EUSIPCO (2018)
Frithjof Gressmann, Franz J. Király, Bilal A. Mateen, Harald Oberhauser
Probabilistic supervised learning. CoRR (2018)
Franz J. Király, Bilal A. Mateen, Raphael Sonabend
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature. CoRR (2018)
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, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. CoRR (2018)
Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues
Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. GlobalSIP (2018)
Franz J. Király, Zhaozhi Qian
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. CoRR (2017)
Samuel Burkart, Franz J. Király
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling. CoRR (2017)
Franz J. Király, Harald Oberhauser
Kernels for sequentially ordered data. CoRR (2016)
Bilal A. Mateen, Matthias Bussas, Catherine Doogan, Denise Waller, Alessia Saverino, Franz J. Király, E. Diane Playford
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population. CoRR (2016)
Franz J. Király, Louis Theran, Ryota Tomioka
The algebraic combinatorial approach for low-rank matrix completion. J. Mach. Learn. Res. 16 (2015)
Franz J. Király, Martin Kreuzer, Louis Theran
Learning with Cross-Kernels and Ideal PCA. CoRR (2014)
Franz J. Király, Martin Ehler
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. AISTATS (2014)
Paul Larsen, Franz J. Király
Fano schemes of generic intersections and machine learning. Int. J. Algebra Comput. 24 (7) (2014)
Franz J. Király, Louis Theran
Matroid Regression. CoRR (2014)
Franz J. Király, Andreas Ziehe, Klaus-Robert Müller
Learning with Algebraic Invariances, and the Invariant Kernel Trick. CoRR (2014)
Franz J. Király, Martin Kreuzer, Louis Theran
Dual-to-kernel learning with ideals. CoRR (2014)
Franz J. Király, Martin Ehler
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. CoRR (2014)
Franz J. Király, Andreas Ziehe
Approximate rank-detecting factorization of low-rank tensors. ICASSP (2013)
Franz J. Király, Louis Theran
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion. NIPS (2013)
Franz J. Király, Louis Theran
Coherence and sufficient sampling densities for reconstruction in compressed sensing CoRR (2013)
Franz J. Király
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning. CoRR (2013)
Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert Müller
Algebraic Geometric Comparison of Probability Distributions. J. Mach. Learn. Res. 13 (2012)
Franz J. Király, Andreas Ziehe, Klaus-Robert Müller
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. LVA/ICA (2012)
Franz J. Király, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller
Regression for sets of polynomial equations. AISTATS (2012)
Franz J. Király, Andreas Ziehe
Approximate Rank-Detecting Factorization of Low-Rank Tensors. CoRR (2012)
Franz J. Király, Ryota Tomioka
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion. ICML (2012)
Franz J. Király, Louis Theran, Ryota Tomioka, Takeaki Uno
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion CoRR (2012)
Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller
The Stationary Subspace Analysis Toolbox. J. Mach. Learn. Res. 12 (2011)