Jenia Jitsev
Orcid: 0000-0002-1221-7851
According to our database1,
Jenia Jitsev
authored at least 29 papers
between 2008 and 2024.
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Bibliography
2024
CoRR, 2024
2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.
CoRR, 2023
A Comparative Study on Generative Models for High Resolution Solar Observation Imaging.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
LAION-5B: An open large-scale dataset for training next generation image-text models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images.
CoRR, 2021
Generalization over different cellular automata rules learned by a deep feed-forward neural network.
CoRR, 2021
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021
2020
Proceedings of the High Performance Computing, 2020
Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2020
2019
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning.
Remote. Sens., 2019
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows.
CoRR, 2019
2018
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning.
Proceedings of the High Performance Computing, 2018
2014
Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
2012
Learning from positive and negative rewards in a spiking neural network model of basal ganglia.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
Hierarchical Information-Based Clustering for Connectivity-Based Cortex Parcellation.
Frontiers Neuroinformatics, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010
Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
2009
Experience-driven formation of parts-based representations in a model of layered visual memory.
Frontiers Comput. Neurosci., 2009
2008
Proceedings of the Artificial Neural Networks, 2008