Franz J. Király
Orcid: 0000-0002-9254-793X
According to our database1,
Franz J. Király
authored at least 43 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
LLM Interactive Optimization of Open Source Python Libraries - Case Studies and Generalization.
CoRR, 2023
2021
2020
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation.
IEEE Trans. Signal Process., 2020
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study.
CoRR, 2020
CoRR, 2020
2019
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.
CoRR, 2019
Design choices for productive, secure, data-intensive research at scale in the cloud.
CoRR, 2019
2018
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.
CoRR, 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature.
CoRR, 2018
Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling.
CoRR, 2017
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes.
CoRR, 2017
2016
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population.
CoRR, 2016
2015
J. Mach. Learn. Res., 2015
2014
Int. J. Algebra Comput., 2014
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold.
CoRR, 2014
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
CoRR, 2013
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning.
CoRR, 2013
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
J. Mach. Learn. Res., 2012
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion.
Proceedings of the 29th International Conference on Machine Learning, 2012
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
2011