INB LUNCH-SEMINAR - Vorträge
Aufgrund der aktuellen COVID-19 Situation derzeit nur online via WEBEX:
https://uni-luebeck.webex.com/meet/thomas.martinetz
Das Seminar findet freitags 12:00 Uhr s.t. statt und dient der
- Darstellung und Diskussion von aktuellen wissenschaftlichen Themen
- Vorstellung von Ergebnissen aus Bachelor- und Masterarbeiten.
Die derzeitige Terminplanung ist in der folgenden Tabelle zusammengefasst:
| DATUM | VORTRAGENDE | THEMA DES VORTRAGS |
| 21.10.2022 | Philipp Steinschulte | Generative Adversarial Networks as Natural Image Prior for visualizing features of classification networks |
| 28.10.2022 | Thomas Martinetz | Generalization bounds based on sample compression |
| 04.11.2022 | Christian Thiemann | FLIO - Differentiation of Smokers and Non-smokers Based on Novel Retina Imaging Technology |
| 11.11.2022 | Christoph Linse | Designing a CNN architecture with very few parameters and what we could learn from it |
| 18.11.2022 | Thomas Käster | Attention: Hype or Halleluja |
| 25.11.2022 | Kathleen Anderson | Pairwise Filter Connections Improve the Accuracy of a Convolutional Neural Network |
| 02.12.2022 | Kai Labusch | Machine Learning @ Berlin State Library |
| 09.12.2022 | Thilo Stadelmann | In search for a better paradigm: deep learning between excitement, disillusion, and a new hope |
| 13.01.2023 | Thomas Martinetz | Methoden zum generieren von Daten gemäß gelernter Verteilungen |
| 20.01.2023 | Erhardt Barth | Welche Eigenschaften haben natürliche Bilder und was waren die Ansätze dazu |
| 27.01.2023 | Marius Jahrens | Diffusion Models |
| 03.02.2023 | Hans-Oliver Hansen | Energy based models |
| 10.02.2023 | Nihat Ay | Information Geometry for Deep Learning |
| 24.02.2023 | Philipp Grüning | Deep Architectures for Image Generation |
| 03.03.2023 | Manuel Laufer | A Brief Introduction to Point Cloud Networks |
| tba | Dominik Mairhöfer | |
| tba | Muhammad Mushtaq | |
| tba | Amir Madany | |
| 14.1.2022 | Christian Thiemann | Overinterpretation reveals image classification model pathologies |
| 21.1.2022 | Alexandra Korda | Fractal dimension of brain sMRI in first-episode and clinical high-risk patients |
| 28.1.2022 | Benjamin Coors | Incorporating Prior Knowledge of Invariances into Deep Models for Computer Vision |
| 11.2.2022 | Lars Scharje | A data-centric approach for improving ambiguous labels |
| 18.2.2022 | Christoph Linse | Application of handcrafted filters in Convolutional Neural Networks |
| 25.2.2022 | Thomas Käster | Self-Supervised Learning with Barlow Twins |
| 4.3.2022 | Celina Schubbe | Body Part Segmentation on RGB-D Images |
| 11.3.2022 | Lennart Berkel | Collimation Adjustment in X-Ray Diagnostics using Deep Learning |
| 25.3.2022 | Manuel Laufer & Dominik Mairhöfer | The Current State of the X-Ray Assistent |
| 1.4.2022 | Philipp Grüning | Architecture Search for Deep Networks |
| 8.4.2022 | Marius Jahrens | Graph Neural Networks |
| 6.5.2022 | Erhardt Barth | The OptiVisT project and recognition in videos |
| 13.5.2022 | Muhammad Mushtaq | Cortical stimulation effects on sleep spindles during NREM sleep |
| 20.5.2022 | Hans-Oliver Hansen | Self-supervised Learning |
| 3.6.2022 | Hajo Nils Krabbenhöft | German Speech Recognition – Build your own State of the Art |
| 1.7.2022 | Amir Madany | The DREAM Olfaction Prediction Challenge |
| 8.7.2022 | Marvin Raasch | Automatische Winkel-Quantifizierung der Sylvischen Furche in standardisierten Ultraschallbildern der vorderen koronalen Ebenen durch Deep Learning" |
| 2021 | VORTRAGENDE | THEMA DES VORTRAGS |
| 5.3.2021 | Hans-Oliver Hansen, M.Sc. | Deep Image Priors |
| 19.3.2021 | Dr. Thomas Käster / Christoph Schlichting, B.Sc. | Multi-Label Image Recognition |
| 26.3.2021 | Christoph Linse, M.Sc. | COVID-Nets: Deep CNN Architectures for Detecting COVID-19 from Chest CT Scans |
| 9.4.2021 | Manuel Laufer, M.Sc. | ToF Cameras for Quality Assessment of Ankle Positioning |
| 23.4.2021 | Dominik Mairhöfer, M.Sc. | Diagnostic Quality Assessment of Ankle Radiographs |
| 7.5.2021 | Muhammad Mushtaq, M.Sc. | Thalamocortical model for slow oscillations |
| 21.5.2021 | Marius Jahrens, M.Sc. | Generalized Architecture Search and Architecture Learning |
| 28.5.2021 | Philipp Grüning, M.Sc. | FP-nets and Vision |
| 4.6.2021 | Prof. Dr. Erhardt Barth / Philipp Grüning, M.Sc. | FP-nets and Hyper-Selectivity |
| 11.6.2021 | PD Dr. Amir Madany | Deep Learning in Higher Education |
| 9.7.2021 | Prof. Dr. Thomas Martinetz | Generalization of over-parameterized classifiers |
| 23.7.2021 | Christian Thiemann, M.Sc. | Automatische Detektion monoklonaler Banden bei Immunfixationselektrophorese |
| 6.8.2021 | Hans-Oliver Hansen, M.Sc. | Hopfield-Layer |
| 20.8.2021 | Prof. Dr. Thomas Martinetz | Neural Tangent Kernels |
| 3.9.2021 | Dr. Thomas Käster | Meta Pseudo Labels |
| 24.9.2021 | Christoph Linse, M.Sc. | A walk in the blackbox - 3D visualization methods for CNNs |
| 1.10.2021 | Manuel Laufer, M.Sc. | Generating synthetic depth images from CT data |
| 8.10.2021 | Dominik Mairhöfer, M.Sc. | Spatial Transformer Networks for Spatial Attention |
| 22.10.2021 | Muhammad Mushtaq, M.Sc. | Slow oscillations and sleep spindles in human sleep study |
| 29.10.2021 | Marius Jahrens, M.Sc. | DINO: Emerging Properties in Self-Supervised Vision Transformers |
| 5.11.2021 | Philipp Grüning, M.Sc. | Graph Neural Networks for Asthma Classification |
| 12.11.2021 | Prof. Dr. Erhardt Barth | The Riemann Machine |
| 3.12.2021 | Hans-Oliver Hansen, M.Sc. | Vision Transformer, MLP-Mixer und ConvMixer |
| 10.12.2021 | Norman Scheel, PhD | Neuroimaging of aging, dementia, and Alzheimer’s Disease |
| 17.12.2021 | PD Dr. Amir Madany |
- LEHRE
- aktuelle Lehrveranstaltungen
- Lunch-Seminar
- Archiv Lehre