Lukas Stankevičius; Mantas Lukoševičius Generating abstractive summaries of Lithuanian news articles using a transformer model Inproceedings Forthcoming Forthcoming. Links | BibTeX | Tags: Deep learning, Natural language processing, Source code available @inproceedings{StankeviciusLukosevicius2021, title = {Generating abstractive summaries of Lithuanian news articles using a transformer model}, author = {Lukas Stankevi\v{c}ius and Mantas Luko\v{s}evi\v{c}ius}, url = {https://mantas.info/get-publication/?f=Generating_Lithuanian_news_summaries.pdf https://arxiv.org/abs/2105.03279 https://arxiv.org/pdf/2105.03279.pdf https://github.com/LukasStankevicius/Generating-abstractive-summaries-of-Lithuanian-news-articles-using-a-transformer-model https://huggingface.co/LukasStankevicius/t5-base-lithuanian-news-summaries-175 https://paperswithcode.com/paper/generating-abstractive-summaries-of}, year = {2021}, date = {2021-04-23}, keywords = {Deep learning, Natural language processing, Source code available}, pubstate = {forthcoming}, tppubtype = {inproceedings} }
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Mantas Lukoševičius; Arnas Uselis Efficient implementations of echo state network cross-validation Journal Article 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}, doi = {10.1007/s12559-021-09849-2}, issn = {1866-9964}, year = {2021}, date = {2021-03-03}, journal = {Cognitive Computation}, pages = {1-15}, keywords = {Reservoir computing, Source code available}, pubstate = {published}, tppubtype = {article} }
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Arnas Uselis; Mantas Lukoševičius; Lukas Stasytis Localized convolutional neural networks for geospatial wind forecasting Journal Article Energies, 13 (13), pp. 3440, 2020, (source code available). Links | BibTeX | Tags: Deep learning, Geospatial, Source code available @article{UselisLukoseviciusStasytis20, title = {Localized convolutional neural networks for geospatial wind forecasting }, author = {Arnas Uselis and Mantas Luko\v{s}evi\v{c}ius and Lukas Stasytis}, url = {https://mantas.info/get-publication/?f=Localized_CNNs_for_wind_forecasting.pdf https://www.mdpi.com/1996-1073/13/13/3440 https://arxiv.org/abs/2005.05930v3 https://arxiv.org/pdf/2005.05930v3.pdf https://paperswithcode.com/paper/localized-convolutional-neural-networks-for https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting https://mantas.info/get-publication/?f=Localized_CNNs-Gentle_intro_presentation_in_Lithuanian.pdf https://www.youtube.com/watch?v=cie6lCs1nR4&Gentle_intro_presentation_in_Lithuanian }, doi = {10.3390/en13133440}, year = {2020}, date = {2020-07-03}, issuetitle = {Machine Learning and Deep Learning for Energy Systems}, journal = {Energies}, volume = {13}, number = {13}, pages = {3440}, publisher = {MDPI}, note = {source code available}, keywords = {Deep learning, Geospatial, Source code available}, pubstate = {published}, tppubtype = {article} }
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Mantas Lukoševičius; Vaidotas Marozas Noninvasive fetal QRS detection using an echo state network and dynamic programming Journal Article Physiological Measurement, 35 (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/ https://physionet.org/files/challenge-2013/1.0.0/sources/mantas.lukosevicius_at_gmx.com/}, 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}, keywords = {Biomedicine, Reservoir computing, Source code available}, pubstate = {published}, tppubtype = {article} }
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Mantas Lukoševičius; Vaidotas Marozas Noninvasive Fetal QRS Detection using Echo State Network Inproceedings 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} }
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Mantas Lukoševičius A practical guide to applying echo state networks Incollection Grégoire Montavon; Geneviève B. Orr; Klaus-Robert Müller (Ed.): Neural Networks: Tricks of the Trade, 2nd Edition, 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}, isbn = {978-3-642-35288-1}, year = {2012}, date = {2012-01-01}, booktitle = {Neural Networks: Tricks of the Trade, 2nd Edition}, volume = {7700}, pages = {659-686}, publisher = {Springer}, series = {LNCS}, note = {simple source code samples available}, keywords = {Reservoir computing, Source code available}, pubstate = {published}, tppubtype = {incollection} } |
Herbert Jaeger; Mantas Lukoševičius; Dan Popovici; Udo Siewert Optimization and applications of echo state networks with leaky-integrator neurons Journal Article Neural Networks, 20 (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}, url = {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 http://www.faculty.jacobs-university.de/hjaeger/pubs/leakyESN.pdf}, doi = {10.1016/j.neunet.2007.04.016}, year = {2007}, date = {2007-01-01}, journal = {Neural Networks}, volume = {20}, number = {3}, pages = {335-352}, note = {source code available}, keywords = {Reservoir computing, Source code available}, pubstate = {published}, tppubtype = {article} }
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