Jenia Jitsev's publications
Contribution to a conference proceedings
Application-Driven Exascale: The JUPITER Benchmark Suite
International Conference for High Performance Computing, Networking, Storage, and Analysis, SC24, Atlanta, GAAtlanta, GA, USA, 18 Nov 2024 - 22 Nov 2024
Los Alamitos, CA, USA : IEEE Computer Society 468-512 (2024) [10.1109/SC41406.2024.00038]
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UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning
ACS nanoscience Au 3, 398–407 (2023) [10.1021/acsnanoscienceau.3c00020]
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Contribution to a conference proceedings/Contribution to a book
LAION-5B: An open large-scale dataset for training next generation image-text models
9781713871088, NeurIPS 2022, New Orleans, LouisianaNew Orleans, Louisiana, USA, 28 Nov 2022 - 9 Dec 2022
Red Hook, NY : Curran Associates, Inc., Advances in neural information processing systems 35, 25278 - 25294 (2022) [10.34734/FZJ-2024-00372]
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Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier
Machine learning: science and technology 3(1), 015014 (2022) [10.1088/2632-2153/ac3dde]
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Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells
Nanoscale 14(1), 10 - 18 (2022) [10.1039/D1NR06435E]
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Contribution to a conference proceedings
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
NeurIPS Workshop Datacentric AI, DCAI2021, onlineonline, online, 14 Dec 2021 - 14 Dec 2021
5 p. (2021)
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Contribution to a conference proceedings
Generative Adversarial Deep Learning with Solar Images
AGU Fall Meeting, AGU, New OrleansNew Orleans, USA, 13 Dec 2021 - 17 Dec 2021
1 pp. (2021)
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Journal Article
Divertor power load predictions based on machine learning
Nuclear fusion 61(4), 046023 - (2021) [10.1088/1741-4326/abdb94]
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Contribution to a conference proceedings
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Medical Imaging Meets NeurIPS (MedNeurIPS), Sydney / onlineSydney / online, Australia, 6 Dec 2021 - 14 Dec 2021
1-6 (2021)
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Journal Article
Back cover
Nanoscale 14(1), 206 - 206 (2021) [10.1039/D2NR90005J]
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Contribution to a conference proceedings/Contribution to a book
JUWELS Booster – A Supercomputer for Large-Scale AI Research
High Performance Computing / Jagode, Heike (Editor)
ISC High Performance 2021, ISC21, DigitalDigital, Germany, 24 Jun 2021 - 2 Jul 2021
Lecture Notes in Computer Science 12761, 453 - 468 (2021) [10.1007/978-3-030-90539-2_31]
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Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells
RSC Advances 11(51), 32126 - 32134 (2021) [10.1039/D1RA05324H]
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Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows
Proceedings of the Combustion Institute 38(2), 2617 - 2625 (2021) [10.1016/j.proci.2020.06.022]
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Contribution to a conference proceedings
Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Online eventOnline event, Hawaii, 26 Sep 2020 - 2 Oct 2020
617 - 620 (2020) [10.1109/IGARSS39084.2020.9323734]
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Contribution to a conference proceedings
Scaling Up a Multispectral Resnet-50 to 128 GPUs
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Online eventOnline event, Hawaii, 26 Sep 2020 - 2 Oct 2020
IEEE 1058 - 1061 (2020) [10.1109/IGARSS39084.2020.9324237]
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Contribution to a conference proceedings/Contribution to a book
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
2020 IEEE Conference on Games (CoG) : [Proceedings] - IEEE, 2020
2020 IEEE Conference on Games (CoG), OsakaOsaka, Japan, 24 Aug 2020 - 27 Aug 2020
IEEE 447 - 454 (2020) [10.1109/CoG47356.2020.9231802]
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Contribution to a conference proceedings/Contribution to a book
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning
High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science
ISC High Performance 2020, ISC 2020, FrankfurtFrankfurt, Germany, 22 Jun 2020 - 25 Jun 2020
Cham : Springer, Lecture Notes in Computer Science 12321, 81-101 (2020) [10.1007/978-3-030-59851-8_6]
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Contribution to a conference proceedings/Contribution to a book
Sub-Grid Scale Modelling at Scale with Deep Learning and up to 60 Billion Degrees of Freedom
NIC Symposium 2020
NIC Symposium 2020, JülichJülich, Germany, 27 Feb 2020 - 28 Feb 2020
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series 50, 379 - 388 (2020)
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Contribution to a conference proceedings/Contribution to a book
Developing Exascale Computing at JSC
NIC Symposium 2020
NIC Symposium 2020, JülichJülich, Deutschland, 27 Feb 2020 - 28 Feb 2020
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series 50, 1 - 19 (2020)
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Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
Remote sensing 11(24), 3056 - (2019) [10.3390/rs11243056]
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Contribution to a conference proceedings/Contribution to a book
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning
High Performance Computing
International Conference on High Performance Computing, FrankfurtFrankfurt, Germany, 24 Jun 2018 - 28 Jun 2018
Cham : Springer International Publishing, Lecture Notes in Computer Science 11203, 614 - 623 (2018) [10.1007/978-3-030-02465-9_44] special issue: "ISC High Performance 2018 International Workshops"
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Journal Article
Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyond
Behavioural brain research 311, 110 - 121 (2016) [10.1016/j.bbr.2016.05.017]
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Contribution to a conference proceedings
Self-generated off-line memory reprocessing in cortical microcircuits
9th Internation Brain Research Organisation Conference (IBRO), Rio de JaneiroRio de Janeiro, Brasil, 7 Jul 2015 - 11 Jul 2015
34 pp. (2015)
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Contribution to a conference proceedings/Journal Article
Fast rhythm cycles as atomic fragments of cortical processing and learning
23rd Annual Computational Neuroscience Meeting, CNS 2014, QuebecQuebec, Canada, 24 Jul 2014 - 31 Jul 2014
BMC neuroscience 15(Suppl 1), P136 - (2014) [10.1186/1471-2202-15-S1-P136]
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Contribution to a conference proceedings
Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network
24th International Conference on Artificial Neural Networks, ICANN 2014, HamburgHamburg, Germany, 15 Sep 2014 - 19 Sep 2014
Cham : Springer International Publishing, Lecture Notes in Computer Science 8681, 659 - 666 (2014) [10.1007/978-3-319-11179-7_83]
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Contribution to a conference proceedings
Functional role of opponent, dopamine modulated D1/D2 plasticity in prediction error-driven reinforcement learning in the basal ganglia
Berstein Conference on Computational Neuroscience, TuebingenTuebingen, Germany, 24 Sep 2013 - 27 Sep 2013
G-Node 162 - 163 (2013) [10.12751/nncn.bc2013.0164]
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Journal Article/Contribution to a conference proceedings
Functional role of opponent, dopamine modulated D1/D2 plasticity in reinforcement learning
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, ParisParis, France, 13 Jul 2013 - 18 Jul 2013
BMC neuroscience 14(Suppl 1), P199 (2013) [10.1186/1471-2202-14-S1-P199]
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