Mantas Lukoševičius; Arnas Uselis
Time-Adaptive Recurrent Neural Networks Miscellaneous Forthcoming
arXiv, Forthcoming.
Links | BibTeX | Tags: Deep learning, Reservoir computing
@misc{LukoseviciusUselis22,
title = {Time-Adaptive Recurrent Neural Networks},
author = {Mantas Luko\v{s}evi\v{c}ius and Arnas Uselis},
url = {https://mantas.info/get-publication/?f=Time-Adaptive_RNNs.pdf
https://arxiv.org/abs/2204.05192
https://arxiv.org/pdf/2204.05192.pdf},
doi = {10.48550/arXiv.2204.05192},
year = {2022},
date = {2022-04-11},
urldate = {2022-04-11},
publisher = {arXiv},
howpublished = {arXiv},
keywords = {Deep learning, Reservoir computing},
pubstate = {forthcoming},
tppubtype = {misc}
}
Mantas Lukoševičius; Arnas Uselis
Efficient implementations of echo state network cross-validation Journal Article
In: Cognitive Computation, pp. 1-15, 2021, ISSN: 1866-9964.
Links | BibTeX | Tags: Reservoir computing, Source code available
@article{LukoseviciusUselis21,
title = {Efficient implementations of echo state network cross-validation},
author = {Mantas Luko\v{s}evi\v{c}ius and Arnas Uselis},
url = {https://mantas.info/get-publication/?f=Efficient_implement_of_ESN_CV.pdf
https://arxiv.org/abs/2006.11282
https://arxiv.org/pdf/2006.11282.pdf
https://link.springer.com/article/10.1007/s12559-021-09849-2
https://github.com/oshapio/Efficient-Cross-Validation-of-Echo-State-Networks},
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issn = {1866-9964},
year = {2021},
date = {2021-03-03},
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pubstate = {published},
tppubtype = {article}
}
- https://mantas.info/get-publication/?f=Efficient_implement_of_ESN_CV.pdf
- https://arxiv.org/abs/2006.11282
- https://arxiv.org/pdf/2006.11282.pdf
- https://link.springer.com/article/10.1007/s12559-021-09849-2
- https://github.com/oshapio/Efficient-Cross-Validation-of-Echo-State-Networks
- doi:10.1007/s12559-021-09849-2
Claudio Gallicchio; Mantas Lukoševičius; Simone Scardapane
Frontiers in Reservoir Computing Proceedings Article
In: ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020, ISBN: 78-2-87587-074-2.
Links | BibTeX | Tags: Reservoir computing
@inproceedings{GallicchioLukoseviciusScardopane20,
title = {Frontiers in Reservoir Computing},
author = {Claudio Gallicchio and Mantas Luko\v{s}evi\v{c}ius and Simone Scardapane},
url = {https://mantas.info/get-publication/?f=Frontiers_in_Reservoir_Computing.pdf
https://www.esann.org/sites/default/files/proceedings/2020/ES2020-7.pdf},
isbn = {78-2-87587-074-2},
year = {2020},
date = {2020-10-02},
booktitle = {ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning},
keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Mantas Lukoševičius; Arnas Uselis
Efficient cross-validation of echo state networks Proceedings Article
In: Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions. ICANN 2019., pp. 121-133, Springer, Cham, 2019, ISBN: 978-3-030-30493-5, (presentation slides included).
Links | BibTeX | Tags: Reservoir computing
@inproceedings{LukoseviciusUselis19,
title = {Efficient cross-validation of echo state networks},
author = {Mantas Luko\v{s}evi\v{c}ius and Arnas Uselis},
url = {https://mantas.info/get-publication/?f=Efficient_CV_of_ESNs.pdf
https://arxiv.org/abs/1908.08450
https://arxiv.org/pdf/1908.08450.pdf
https://link.springer.com/chapter/10.1007/978-3-030-30493-5_12
https://mantas.info/get-publication/?f=Efficient_CV_of_ESNs_slides.pdf },
doi = {10.1007/978-3-030-30493-5_12},
isbn = {978-3-030-30493-5},
year = {2019},
date = {2019-09-09},
booktitle = {Artificial Neural Networks and Machine Learning \textendash ICANN 2019: Workshop and Special Sessions. ICANN 2019.},
volume = {11731},
pages = {121-133},
publisher = {Springer, Cham},
series = {Lecture Notes in Computer Science},
note = {presentation slides included},
keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Ąžuolas Krušna; Mantas Lukoševičius
Predicting Mozart’s next note via echo state networks Proceedings Article
In: SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics, pp. 84-91, CEUR, 2018.
Links | BibTeX | Tags: Reservoir computing
@inproceedings{KrusnaLukosevicius18,
title = {Predicting Mozart’s next note via echo state networks},
author = {\k{A}\v{z}uolas Kru\v{s}na and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=predicting_Mozart_via_ESN.pdf
http://ceur-ws.org/Vol-2147/p15.pdf},
year = {2018},
date = {2018-05-28},
booktitle = {SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics},
volume = {2147},
pages = {84-91},
publisher = {CEUR},
keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Mantas Lukoševičius; Vaidotas Marozas
Noninvasive fetal QRS detection using an echo state network and dynamic programming Journal Article
In: Physiological Measurement, vol. 35, no. 8, pp. 1685, 2014, (source code available).
Links | BibTeX | Tags: Biomedicine, Reservoir computing, Source code available
@article{LukoseviciusMarozas14,
title = {Noninvasive fetal QRS detection using an echo state network and dynamic programming},
author = {Mantas Luko\v{s}evi\v{c}ius and Vaidotas Marozas},
url = {https://mantas.info/get-publication/?f=fetal_QRS_with_ESN_and_DP.pdf
http://iopscience.iop.org/0967-3334/35/8/1685/
https://mantas.info/wp/wp-content/uploads/code/fetal_QRS_with_ESN_and_DP_source_code.zip
https://www.physionet.org/content/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_gmx.com/
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doi = {10.1088/0967-3334/35/7/1685},
year = {2014},
date = {2014-07-01},
journal = {Physiological Measurement},
volume = {35},
number = {8},
pages = {1685},
note = {source code available},
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tppubtype = {article}
}
- https://mantas.info/get-publication/?f=fetal_QRS_with_ESN_and_DP.pdf
- http://iopscience.iop.org/0967-3334/35/8/1685/
- https://mantas.info/wp/wp-content/uploads/code/fetal_QRS_with_ESN_and_DP_source_[...]
- https://www.physionet.org/content/challenge-2013/1.0.0/sources/mantas.lukosevici[...]
- https://physionet.org/files/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_[...]
- doi:10.1088/0967-3334/35/7/1685
Mantas Lukoševičius; Vaidotas Marozas
Noninvasive Fetal QRS Detection using Echo State Network Proceedings Article
In: Proceedings of Computing in Cardiology 2013, pp. 205-208, 2013, (source code available).
Links | BibTeX | Tags: Biomedicine, Reservoir computing, Source code available
@inproceedings{LukoseviciusMarozas13,
title = {Noninvasive Fetal QRS Detection using Echo State Network},
author = {Mantas Luko\v{s}evi\v{c}ius and Vaidotas Marozas},
url = {https://mantas.info/get-publication/?f=fetal_QRS_with_ESN.pdf
http://cinc.org/archives/2013/pdf/0205.pdf
https://www.physionet.org/content/challenge-2013/1.0.0/papers/0205.pdf
https://ieeexplore.ieee.org/abstract/document/6712447
https://mantas.info/wp/wp-content/uploads/code/fetal_QRS_with_ESN_and_DP_source_code.zip
https://www.physionet.org/content/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_gmx.com/
https://physionet.org/files/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_gmx.com/},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of Computing in Cardiology 2013},
volume = {40},
pages = {205-208},
note = {source code available},
keywords = {Biomedicine, Reservoir computing, Source code available},
pubstate = {published},
tppubtype = {inproceedings}
}
- https://mantas.info/get-publication/?f=fetal_QRS_with_ESN.pdf
- http://cinc.org/archives/2013/pdf/0205.pdf
- https://www.physionet.org/content/challenge-2013/1.0.0/papers/0205.pdf
- https://ieeexplore.ieee.org/abstract/document/6712447
- https://mantas.info/wp/wp-content/uploads/code/fetal_QRS_with_ESN_and_DP_source_[...]
- https://www.physionet.org/content/challenge-2013/1.0.0/sources/mantas.lukosevici[...]
- https://physionet.org/files/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_[...]
Mantas Lukoševičius
A practical guide to applying echo state networks Book Section
In: Grégoire Montavon; Geneviève B. Orr; Klaus-Robert Müller (Ed.): Neural Networks: Tricks of the Trade, 2nd Edition, vol. 7700, pp. 659-686, Springer, 2012, ISBN: 978-3-642-35288-1, (simple source code samples available).
Links | BibTeX | Tags: Reservoir computing, Source code available
@incollection{Lukosevicius12a,
title = {A practical guide to applying echo state networks},
author = {Mantas Luko\v{s}evi\v{c}ius},
editor = {Gr\'{e}goire Montavon and Genevi\`{e}ve B. Orr and Klaus-Robert M\"{u}ller},
url = {https://mantas.info/get-publication/?f=Practical_ESN.pdf
http://link.springer.com/chapter/10.1007%2F978-3-642-35289-8_36
https://www.ai.rug.nl/minds/uploads/PracticalESN.pdf
/code/simple_esn/},
doi = {10.1007/978-3-642-35289-8_36},
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volume = {7700},
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series = {LNCS},
note = {simple source code samples available},
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tppubtype = {incollection}
}
Mantas Lukoševičius
Self-organized reservoirs and their hierarchies Proceedings Article
In: Artificial Neural Networks and Machine Learning – ICANN 2012, pp. 587-595, Springer, Berlin, Heidelberg, 2012.
Links | BibTeX | Tags: Deep learning, Reservoir computing
@inproceedings{Lukosevicius12,
title = {Self-organized reservoirs and their hierarchies},
author = {Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=self-organized_reservoir_hierarchies.pdf
https://link.springer.com/chapter/10.1007%2F978-3-642-33269-2_74
https://www.ai.rug.nl/minds/uploads/Self-organized_reservoir_hierarchies_ICANN12.pdf},
doi = {10.1007/978-3-642-33269-2_74},
year = {2012},
date = {2012-01-01},
booktitle = {Artificial Neural Networks and Machine Learning \textendash ICANN 2012},
volume = {7552},
pages = {587-595},
publisher = {Springer},
address = {Berlin, Heidelberg},
series = {LNCS},
keywords = {Deep learning, Reservoir computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Mantas Lukoševičius; Herbert Jaeger; Benjamin Schrauwen
Reservoir Computing Trends Journal Article
In: KI - Künstliche Intelligenz, vol. 26, no. 4, pp. 365–371, 2012, ISSN: 1610-1987.
Links | BibTeX | Tags: Reservoir computing
@article{LukoseviciusJaegerEtAl12ki,
title = {Reservoir Computing Trends},
author = {Mantas Luko\v{s}evi\v{c}ius and Herbert Jaeger and Benjamin Schrauwen},
url = {https://mantas.info/get-publication/?f=reservoir_computing_trends.pdf
https://link.springer.com/article/10.1007/s13218-012-0204-5
https://www.ai.rug.nl/minds/uploads/2508_Lukoseviciusetal12.pdf
},
doi = {10.1007/s13218-012-0204-5},
issn = {1610-1987},
year = {2012},
date = {2012-01-01},
journal = {KI - K\"{u}nstliche Intelligenz},
volume = {26},
number = {4},
pages = {365--371},
publisher = {Springer-Verlag},
keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {article}
}
Mantas Lukoševičius
Reservoir Computing and Self-Organized Neural Hierarchies PhD Thesis
Jacobs University Bremen, 2011.
Links | BibTeX | Tags: Deep learning, Reservoir computing
@phdthesis{Lukosevicius11thesis,
title = {Reservoir Computing and Self-Organized Neural Hierarchies},
author = {Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=Mantas_Lukosevicius_PhD_thesis.pdf
https://d-nb.info/1035433168
http://nbn-resolving.org/urn:nbn:de:101:1-201306047929
https://opus.jacobs-university.de/frontdoor/index/index/docId/83
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year = {2011},
date = {2011-01-01},
address = {Bremen, Germany},
school = {Jacobs University Bremen},
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pubstate = {published},
tppubtype = {phdthesis}
}
Mantas Lukoševičius
On self-organizing reservoirs and their hierarchies Technical Report
Jacobs University Bremen no. No. 25, 2010.
Links | BibTeX | Tags: Deep learning, Reservoir computing
@techreport{Lukosevicius10,
title = {On self-organizing reservoirs and their hierarchies},
author = {Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=on_self-organized_reservoir_hierarchies.pdf
http://d-nb.info/1130868494
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tppubtype = {techreport}
}
Saulius Daukantas; Mantas Lukoševičius; Vaidotas Marozas; Arūnas Lukoševičius
Comparison of "black box" and "gray box" methods for lost data reconstruction in multichannel signals Proceedings Article
In: Proceedings of the 14th International Conference "Biomedical Engineering", pp. 135-138, Kaunas, 2010.
Links | BibTeX | Tags: Biomedicine, Reservoir computing
@inproceedings{DaukantasEtal10,
title = {Comparison of "black box" and "gray box" methods for lost data reconstruction in multichannel signals},
author = {Saulius Daukantas and Mantas Luko\v{s}evi\v{c}ius and Vaidotas Marozas and Ar\={u}nas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=black_and_gray_box_signal_reconstruction.pdf
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address = {Kaunas},
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pubstate = {published},
tppubtype = {inproceedings}
}
Mantas Lukoševičius; Herbert Jaeger
Reservoir computing approaches to recurrent neural network training Journal Article
In: Computer Science Review, vol. 3, no. 3, pp. 127-149, 2009, ISSN: 1574-0137.
Links | BibTeX | Tags: Reservoir computing
@article{LukoseviciusJaeger09,
title = {Reservoir computing approaches to recurrent neural network training},
author = {Mantas Luko\v{s}evi\v{c}ius and Herbert Jaeger},
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https://www.sciencedirect.com/science/article/abs/pii/S1574013709000173
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date = {2009-08-01},
journal = {Computer Science Review},
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- https://mantas.info/get-publication/?f=reservoir_computing_approaches_to_RNN_tra[...]
- https://www.sciencedirect.com/science/article/abs/pii/S1574013709000173
- https://www.ai.rug.nl/minds/uploads/2261_LukoseviciusJaeger09.pdf
- http://www.faculty.jacobs-university.de/hjaeger/pubs/2261_LukoseviciusJaeger09.p[...]
- doi:10.1016/j.cosrev.2009.03.005
Mantas Lukoševičius
Echo State Networks with Trained Feedbacks Technical Report
Jacobs University Bremen no. No. 4, 2007.
Links | BibTeX | Tags: Reservoir computing
@techreport{Lukosevicius07,
title = {Echo State Networks with Trained Feedbacks},
author = {Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=ESN_trained_feedbacks.pdf
http://d-nb.info/113086846X
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date = {2007-02-01},
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keywords = {Reservoir computing},
pubstate = {published},
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}
Herbert Jaeger; Mantas Lukoševičius; Dan Popovici; Udo Siewert
Optimization and applications of echo state networks with leaky-integrator neurons Journal Article
In: Neural Networks, vol. 20, no. 3, pp. 335-352, 2007, (source code available).
Links | BibTeX | Tags: Reservoir computing, Source code available
@article{JaegerEtAl07si,
title = {Optimization and applications of echo state networks with leaky-integrator neurons},
author = {Herbert Jaeger and Mantas Luko\v{s}evi\v{c}ius and Dan Popovici and Udo Siewert},
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date = {2007-01-01},
urldate = {2007-01-01},
journal = {Neural Networks},
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note = {source code available},
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tppubtype = {article}
}
- https://mantas.info/get-publication/?f=leakyESN.pdf
- http://www.sciencedirect.com/science/article/pii/S089360800700041X
- https://www.ai.rug.nl/minds/uploads/leakyESN.pdf
- https://www.ai.rug.nl/minds/uploads/JapVowels_forWeb.zip
- https://www.ai.rug.nl/minds/uploads/parameterOptimization_forWeb.zip
- doi:10.1016/j.neunet.2007.04.016
Mantas Lukoševičius; Herbert Jaeger
Overview of Reservoir Recipes Technical Report
Jacobs University Bremen no. No. 11, 2007.
Links | BibTeX | Tags: Reservoir computing
@techreport{LukoseviciusJaeger07,
title = {Overview of Reservoir Recipes},
author = {Mantas Luko\v{s}evi\v{c}ius and Herbert Jaeger},
url = {https://mantas.info/get-publication/?f=overview_reservoir_recipes.pdf
http://d-nb.info/1130868478
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year = {2007},
date = {2007-01-01},
number = {No. 11},
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keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {techreport}
}
Mantas Lukoševičius; Dan Popovici; Herbert Jaeger; Udo Siewert
Time Warping Invariant Echo State Networks Technical Report
Jacobs University Bremen no. No. 2, 2006.
Links | BibTeX | Tags: Reservoir computing
@techreport{LukoseviciusEtal06,
title = {Time Warping Invariant Echo State Networks},
author = {Mantas Luko\v{s}evi\v{c}ius and Dan Popovici and Herbert Jaeger and Udo Siewert},
url = {https://mantas.info/get-publication/?f=time_warping_invariant_ESN.pdf
http://d-nb.info/1130868451
http://nbn-resolving.de/urn:nbn:de:gbv:579-opus-1006608
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date = {2006-05-01},
number = {No. 2},
institution = {Jacobs University Bremen},
keywords = {Reservoir computing},
pubstate = {published},
tppubtype = {techreport}
}
Local versions of paywalled articles are preprints.
My publications in Google Scholar.