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ORCIDFranz J. Király
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Journal Articles
- 2021
[j12]Raphael Sonabend
, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang:
mlr3proba: an R package for machine learning in survival analysis. Bioinform. 37(17): 2789-2791 (2021)- [j11]Raphael Sonabend, Franz J. Király:
distr6: R6 Object-Oriented Probability Distributions Interface in R. R J. 13(1): 444 (2021) - 2020
- [j10]Raphael Sonabend, Franz J. Király:
set6: R6 Mathematical Sets Interface. J. Open Source Softw. 5(55): 2598 (2020) - [j9]Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer:
MLJ: A Julia package for composable machine learning. J. Open Source Softw. 5(55): 2704 (2020) - [j8]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: 558-572 (2020) - 2019
- [j7]Franz J. Király, Harald Oberhauser:
Kernels for Sequentially Ordered Data. J. Mach. Learn. Res. 20: 31:1-31:45 (2019) - [j6]Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király:
Modeling outcomes of soccer matches. Mach. Learn. 108(1): 77-95 (2019) - [j5]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): 377-378 (2019) - 2015
- [j4]Franz J. Király, Louis Theran, Ryota Tomioka:
The algebraic combinatorial approach for low-rank matrix completion. J. Mach. Learn. Res. 16: 1391-1436 (2015) - 2014
- [j3]Paul Larsen, Franz J. Király:
Fano schemes of generic intersections and machine learning. Int. J. Algebra Comput. 24(7): 923-934 (2014) - 2012
- [j2]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: 855-903 (2012) - 2011
- [j1]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: 3065-3069 (2011)
Conference and Workshop Papers
- 2018
- [c8]Zahra Sabetsarvestani, Franz J. Király, Miguel R. D. Rodrigues:
Entry-wise Matrix Completion from Noisy Entries. EUSIPCO 2018: 2603-2607 - [c7]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: 351-355 - 2014
- [c6]Franz J. Király, Martin Ehler:
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. AISTATS 2014: 503-511 - 2013
- [c5]Franz J. Király, Andreas Ziehe:
Approximate rank-detecting factorization of low-rank tensors. ICASSP 2013: 3938-3942 - [c4]Franz J. Király, Louis Theran:
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion. NIPS 2013: 2364-2372 - 2012
- [c3]Franz J. Király, Andreas Ziehe, Klaus-Robert Müller:
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. LVA/ICA 2012: 272-279 - [c2]Franz J. Király, Ryota Tomioka:
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion. ICML 2012 - [c1]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: 628-637
Informal and Other Publications
- 2023
- [i27]Andreas Florath, Franz J. Király:
LLM Interactive Optimization of Open Source Python Libraries - Case Studies and Generalization. CoRR abs/2312.14949 (2023) - 2021
- [i26]Franz J. Király, Markus Löning, Anthony D. Blaom, Ahmed Guecioueur, Raphael Sonabend:
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns. CoRR abs/2101.04938 (2021) - 2020
- [i25]Ahmed Guecioueur, Franz J. Király:
Kernels for time series with irregularly-spaced multivariate observations. CoRR abs/2004.08545 (2020) - [i24]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 abs/2005.08067 (2020) - [i23]Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer:
MLJ: A Julia package for composable Machine Learning. CoRR abs/2007.12285 (2020) - [i22]Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang:
mlr3proba: Machine Learning Survival Analysis in R. CoRR abs/2008.08080 (2020) - [i21]Raphael Sonabend, Franz J. Király:
distr6: R6 Object-Oriented Probability Distributions Interface in R. CoRR abs/2009.02993 (2020) - 2019
- [i20]Viktor Kazakov, Franz J. Király:
Machine Learning Automation Toolbox (MLaut). CoRR abs/1901.03678 (2019) - [i19]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, 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 abs/1908.08737 (2019) - [i18]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 abs/1909.05738 (2019) - [i17]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 abs/1909.07872 (2019) - 2018
- [i16]Frithjof Gressmann, Franz J. Király, Bilal A. Mateen, Harald Oberhauser:
Probabilistic supervised learning. CoRR abs/1801.00753 (2018) - [i15]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 abs/1812.07519 (2018) - [i14]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 abs/1812.10404 (2018) - 2017
- [i13]Franz J. Király, Zhaozhi Qian:
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. CoRR abs/1701.08055 (2017) - [i12]Samuel Burkart, Franz J. Király:
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling. CoRR abs/1711.05869 (2017) - 2016
- [i11]Franz J. Király, Harald Oberhauser:
Kernels for sequentially ordered data. CoRR abs/1601.08169 (2016) - [i10]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 abs/1607.07751 (2016) - 2014
- [i9]Franz J. Király, Martin Kreuzer, Louis Theran:
Dual-to-kernel learning with ideals. CoRR abs/1402.0099 (2014) - [i8]Franz J. Király, Martin Ehler:
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. CoRR abs/1402.4053 (2014) - [i7]Franz J. Király, Louis Theran:
Matroid Regression. CoRR abs/1403.0873 (2014) - [i6]Franz J. Király, Martin Kreuzer, Louis Theran:
Learning with Cross-Kernels and Ideal PCA. CoRR abs/1406.2646 (2014) - [i5]Franz J. Király, Andreas Ziehe, Klaus-Robert Müller:
Learning with Algebraic Invariances, and the Invariant Kernel Trick. CoRR abs/1411.7817 (2014) - 2013
- [i4]Franz J. Király, Louis Theran:
Coherence and sufficient sampling densities for reconstruction in compressed sensing. CoRR abs/1302.2767 (2013) - [i3]Franz J. Király:
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning. CoRR abs/1309.3233 (2013) - 2012
- [i2]Franz J. Király, Louis Theran, Ryota Tomioka, Takeaki Uno:
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion. CoRR abs/1211.4116 (2012) - [i1]Franz J. Király, Andreas Ziehe:
Approximate Rank-Detecting Factorization of Low-Rank Tensors. CoRR abs/1211.7369 (2012)
Coauthor Index
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