AG Mathematics of Deep Learning [SerienID : 878]
Semester
Sommersemester 2021, Wintersemester 2020/2021, Wintersemester 2019/2020
Lehrenden
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aktualisiert
2021-11-04 14:04:32
Abonnements
11
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# 1Offener ZugangIntroduction to Deep LearningDr.-Ing. Vincent Christlein2019-11-14 Wintersemester 2019/20201Introduction to Deep LearningDr.-Ing. Vincent Christlein2019-11-14 Wintersemester 2019/2020Offener Zugang
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# 2Offener ZugangMathematics - Deep LearningProf. Dr. Martin Burger2019-12-05 Wintersemester 2019/20202Mathematics - Deep LearningProf. Dr. Martin Burger2019-12-05 Wintersemester 2019/2020Offener Zugang
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# 3Offener ZugangKnown Operator Learning - Towards Integration of Prior Knowledge into Machine LearningProf. Dr. Andreas Maier2020-01-09 Wintersemester 2019/20203Known Operator Learning - Towards Integration of Prior Knowledge into Machine LearningProf. Dr. Andreas Maier2020-01-09 Wintersemester 2019/2020Offener Zugang
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# 4Offener ZugangBiomechanics meets Optimal Control: Predictions of Human MotionProf. Dr. Anne Koelewijn2020-02-13 Wintersemester 2019/20204Biomechanics meets Optimal Control: Predictions of Human MotionProf. Dr. Anne Koelewijn2020-02-13 Wintersemester 2019/2020Offener Zugang
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# 5Offener ZugangA New Approach for Stochastic Optimization in Deep LearningDr. Lukas Pflug2020-02-20 Wintersemester 2019/20205A New Approach for Stochastic Optimization in Deep LearningDr. Lukas Pflug2020-02-20 Wintersemester 2019/2020Offener Zugang
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# 6Offener ZugangIntroduction to Adversarial Robustness for Deep LearningDr. Leo Schwinn2020-11-11 Wintersemester 2020/20216Introduction to Adversarial Robustness for Deep LearningDr. Leo Schwinn2020-11-11 Wintersemester 2020/2021Offener Zugang
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# 7Offener ZugangThe interplay of deep learning and control theory2020-12-09 Wintersemester 2020/20217The interplay of deep learning and control theory2020-12-09 Wintersemester 2020/2021Offener Zugang
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# 8Offener ZugangGeneralised Perceptron Learning2020-12-16 Wintersemester 2020/2021
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# 9Offener ZugangNeuromorphic Computing and its Mathematical Challenges2021-01-13 Wintersemester 2020/20219Neuromorphic Computing and its Mathematical Challenges2021-01-13 Wintersemester 2020/2021Offener Zugang
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# 10Offener ZugangStructure Preserving Deep Learning2021-01-27 Wintersemester 2020/2021
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# 11Offener ZugangMathematical aspects of neural network approximation and learning2021-04-20 Sommersemester 202111Mathematical aspects of neural network approximation and learning2021-04-20 Sommersemester 2021Offener Zugang
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# 12Offener ZugangDeep Learning meets Shearlets: On the Path Towards Interpretable Imaging2021-04-27 Sommersemester 202112Deep Learning meets Shearlets: On the Path Towards Interpretable Imaging2021-04-27 Sommersemester 2021Offener Zugang
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# 13Nur für PortalOn the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems2021-05-04 Sommersemester 202113On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems2021-05-04 Sommersemester 2021Nur für PortalGesperrt clip
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# 14Offener ZugangNeural Differential Equations, Control and Machine Learning2021-05-11 Sommersemester 202114Neural Differential Equations, Control and Machine Learning2021-05-11 Sommersemester 2021Offener Zugang
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# 15Offener ZugangAn Introduction to Generative Modeling2021-05-18 Sommersemester 2021
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# 16Offener ZugangRandom walks and PDEs in graph-based learning2021-05-25 Sommersemester 202116Random walks and PDEs in graph-based learning2021-05-25 Sommersemester 2021Offener Zugang
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# 17Offener ZugangLearning with energy-based models2021-06-01 Sommersemester 2021
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# 18Offener ZugangLearning of Wasserstein Generative Models and Patch-based Texture Synthesis2021-06-08 Sommersemester 202118Learning of Wasserstein Generative Models and Patch-based Texture Synthesis2021-06-08 Sommersemester 2021Offener Zugang
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# 19Offener ZugangSelf-supervised Learning for 3D Shape Analysis2021-06-18 Sommersemester 202119Self-supervised Learning for 3D Shape Analysis2021-06-18 Sommersemester 2021Offener Zugang
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# 20Offener ZugangDeep Learning for Computed Tomography Image Reconstruction from Insufficient DataDr. Yixing Huang2021-06-26 Sommersemester 202120Deep Learning for Computed Tomography Image Reconstruction from Insufficient DataDr. Yixing Huang2021-06-26 Sommersemester 2021Offener Zugang
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# 21Offener ZugangDeeply learned regularisation for inverse problems2021-06-29 Sommersemester 202121Deeply learned regularisation for inverse problems2021-06-29 Sommersemester 2021Offener Zugang
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# 22Offener ZugangOnline Learning for Optimization Problems with Unknown or Uncertain Cost Functions2021-07-06 Sommersemester 202122Online Learning for Optimization Problems with Unknown or Uncertain Cost Functions2021-07-06 Sommersemester 2021Offener Zugang
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# 23Offener ZugangBiomechanics meets Deep LearningProf. Dr. Anne Koelewijn2021-07-13 Sommersemester 202123Biomechanics meets Deep LearningProf. Dr. Anne Koelewijn2021-07-13 Sommersemester 2021Offener Zugang
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# 24Offener ZugangAccelerated Forward-Backward Optimization using Deep Learning2021-07-26 Sommersemester 202124Accelerated Forward-Backward Optimization using Deep Learning2021-07-26 Sommersemester 2021Offener Zugang
