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Jenia Jitsev
Jenia Jitsev
Lead Scalable Learning & Multi-Purpose AI (SLAMPAI) Lab, Juelich Supercomputing Center (JSC), ELLIS
Verified email at fz-juelich.de - Homepage
Title
Cited by
Cited by
Year
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
C Schuhmann, R Vencu, R Beaumont, R Kaczmarczyk, C Mullis, A Katta, ...
arXiv preprint arXiv:2111.02114, 2021
2742021
Laion-5b: An open large-scale dataset for training next generation image-text models
C Schuhmann, R Beaumont, R Vencu, C Gordon, R Wightman, M Cherti, ...
arXiv preprint arXiv:2210.08402, 2022
2552022
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows
M Bode, M Gauding, Z Lian, D Denker, M Davidovic, K Kleinheinz, J Jitsev, ...
Proceedings of the Combustion Institute 38 (2), 2617-2625, 2021
632021
Hierarchical information-based clustering for connectivity-based cortex parcellation
NS Gorbach, C Schütte, C Melzer, M Goldau, O Sujazow, J Jitsev, ...
Frontiers in neuroinformatics 5, 18, 2011
452011
Reproducible scaling laws for contrastive language-image learning
M Cherti, R Beaumont, R Wightman, M Wortsman, G Ilharco, C Gordon, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
292023
Remote sensing big data classification with high performance distributed deep learning
R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson
Remote Sensing 11 (24), 3056, 2019
292019
Using physics-informed super-resolution generative adversarial networks for subgrid modeling in turbulent reactive flows
M Bode, M Gauding, Z Lian, D Denker, M Davidovic, K Kleinheinz, J Jitsev, ...
arXiv preprint arXiv:1911.11380, 2019
232019
Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier
JM Clavijo, P Glaysher, J Jitsev, JM Katzy
Machine learning: science and technology 3 (1), 015014, 2021
192021
Experience-driven formation of parts-based representations in a model of layered visual memory
J Jitsev, C V Der Malsburg
Frontiers in computational neuroscience, 15, 2009
172009
Effect of pre-training scale on intra-and inter-domain, full and few-shot transfer learning for natural and X-ray chest images
M Cherti, J Jitsev
2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022
13*2022
Towards prediction of turbulent flows at high reynolds numbers using high performance computing data and deep learning
M Bode, M Gauding, JH Göbbert, B Liao, J Jitsev, H Pitsch
High Performance Computing: ISC High Performance 2018 International …, 2019
132019
Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyond
K Morita, J Jitsev, A Morrison
Behavioural brain research 311, 110-121, 2016
122016
Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells
A Colliard-Granero, M Batool, J Jankovic, J Jitsev, MH Eikerling, K Malek, ...
Nanoscale 14 (1), 10-18, 2022
112022
Super-resolution of large volumes of Sentinel-2 images with high performance distributed deep learning
R Zhang, G Cavallaro, J Jitsev
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
112020
Learning from positive and negative rewards in a spiking neural network model of basal ganglia
J Jitsev, A Morrison, M Tittgemeyer
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
112012
Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory
J Jitsev, C von der Malsburg
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
92010
Information-theoretic connectivity-based cortex parcellation
NS Gorbach, S Siep, J Jitsev, C Melzer, M Tittgemeyer
Machine Learning and Interpretation in Neuroimaging: International Workshop …, 2012
82012
On the self-organization of a hierarchical memory for compositional object representation in the visual cortex
E Jitsev
Frankfurt (Main), Univ., Diss., 2010, 2010
82010
A visual object recognition system invariant to scale and rotation
YD Sato, J Jitsev, C Von Der Malsburg
Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008
82008
Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells
MJ Eslamibidgoli, FP Tipp, J Jitsev, J Jankovic, MH Eikerling, K Malek
RSC advances 11 (51), 32126-32134, 2021
72021
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