Jenia Jitsev

发表

25aTD-6 All Object Detection System Based on a Physiologically Plausible Gabor Pyramid

Christoph von der Malsburg, Daniela Pamplona, 佐藤能臣, 2010 .

Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity

Abigail Morrison, Jenia Jitsev, Nobi Abraham, 2012, ICANN.

Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory

Christoph von der Malsburg, Jenia Jitsev, C. Malsburg, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Dynamic link models for global decision making with binding-by-synchrony

Yasuomi D. Sato, Thomas Burwick, Christoph von der Malsburg, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyond

Abigail Morrison, Jenia Jitsev, Kenji Morita, 2016, Behavioural Brain Research.

A Visual Object Recognition System Invariant to Scale and Rotation

Yasuomi D. Sato, Christoph von der Malsburg, Jenia Jitsev, 2008, ICANN.

Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning

Heinz Pitsch, Mathis Bode, Jenia Jitsev, 2018, ISC Workshops.

Experience-Driven Formation of Parts-Based Representations in a Model of Layered Visual Memory

Christoph von der Malsburg, Jenia Jitsev, C. Malsburg, 2009, Front. Comput. Neurosci..

Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network

Jenia Jitsev, J. Jitsev, 2014, ICANN.

Transforming AI through Deep Learning Architectures: from Breakthroughs to New Challenges

Jenia Jitsev, 2017 .

Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning

Andreas Lintermann, Wolfgang Schröder, Jenia Jitsev, 2020, ISC Workshops.

P9 Self-generated off-line memory reprocessing in a hierarchical recurrent neuronal network and its impact on learning

Jenia Jitsev, Marc Tittgemeyer, M. Tittgemeyer, 2011 .

Fast rhythm cycles as atomic fragments of cortical processing and learning

Jenia Jitsev, 2014, BMC Neuroscience.

Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning

Mike Preuss, Frank Zimmer, Jenia Jitsev, 2020, 2020 IEEE Conference on Games (CoG).

Self-generated off-line memory reprocessing on different layers of a hierarchical recurrent neuronal network

Jenia Jitsev, 2011, BMC Neuroscience.

Learning from positive and negative rewards in a spiking neural network model of basal ganglia

Abigail Morrison, Jenia Jitsev, Marc Tittgemeyer, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Sub-Grid Scale Modelling at Scale with Deep Learning and up to 60 Billion Degrees of Freedom

Mathis Bode, Heinz Pitsch, Jenia Jitsev, 2020 .

Remote Sensing Big Data Classification with High Performance Distributed Deep Learning

Jon Atli Benediktsson, Gabriele Cavallaro, Morris Riedel, 2019, Remote Sensing.

Hierarchical Information-Based Clustering for Connectivity-Based Cortex Parcellation

Nico S. Gorbach, Tania S. Douglas, Jenia Jitsev, 2011, Front. Neuroinform..

Visual Object Detection by Specifying the Scale and Rotation Transformations

Yasuomi D. Sato, Christoph von der Malsburg, Jenia Jitsev, 2010, ICONIP.

ROS-MUSIC toolchain for spiking neural network simulations in a robotic environment

Abigail Morrison, Jenia Jitsev, Renato Duarte, 2015, BMC Neuroscience.

A Gabor Wavelet Pyramid-Based Object Detection Algorithm

Yasuomi D. Sato, Christoph von der Malsburg, Jörg Bornschein, 2011, ISNN.

Information-Theoretic Connectivity-Based Cortex Parcellation

Nico S. Gorbach, Jenia Jitsev, Marc Tittgemeyer, 2011, MLINI.

Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows pdf

Marco Davidovic, Mathis Bode, Heinz Pitsch, 2019, ArXiv.

Deep Learning for the Automation of Particle Analysis in Catalyst Layers for Polymer Electrolyte Fuel Cells

Jasna Jankovic, Jenia Jitsev, Kourosh Malek, 2021 .

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs pdf

Jenia Jitsev, Aran Komatsuzaki, Robert Kaczmarczyk, 2021, ArXiv.

Generalization over different cellular automata rules learned by a deep feed-forward neural network pdf

Jenia Jitsev, Marcel Aach, Jens Henrik Goebbert, 2021, ArXiv.

JUWELS Booster - A Supercomputer for Large-Scale AI Research pdf

Mehdi Cherti, Thomas Lippert, Morris Riedel, 2021, ISC Workshops.

Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images

Mehdi Cherti, Jenia Jitsev, Mehdi Cherti, 2021 .

Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images pdf

Mehdi Cherti, Jenia Jitsev, Mehdi Cherti, 2021, ArXiv.

A Neural System for Scale and Orientation Invariant Correspondence Finding

Yasuomi D. Sato, Jenia Jitsev, Johann Wolfgang Goethe, 2007 .

Scaling Up a Multispectral Resnet-50 to 128 GPUs

Matthias Book, Morris Riedel, Gabriele Cavallaro, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.