INB LUNCH-SEMINAR - Vorträge
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:
LUNCH-SEMINARE 2023
DATUM | VORTRAGENDE | THEMA DES VORTRAGS |
WINTERSEMESTER 2022 | ||
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 |
SOMMERSEMESTER 2023 | ||
14.04.2023 | Dominik Mairhöfer | CLIP & ConVIRT - Learning Visual Representations from Text |
21.04.2023 | Amir Madany | KI-Generatoren in der Hochschullehre – Potenziale und rechtliche Implikationen |
28.04.2023 | Muhammad Mushtaq | Sleep and memory consolidation |
05.05.2023 | Kathleen Anderson | Reconstructing Images From Feature Vectors |
12.05.2023 | Christoph Linse | 3D Visualization of very small CNNs with handpicked features |
09.06.2023 | Honghu Xue | Sample-efficient Deep Reinforcement Learning (DRL) via Automatic Curriculum Learning (ACL) and Model-based Reinforcement Learning (MBRL) |
23.06.2023 | Welf Wustlich | Transformers - Aufstieg der Bestien |
30.06.2023 | Christian Thiemann | Imagen Video: High Definition Video |
14.07.2023 | Thomas Käster | Vision to Language Models: Linking both Worlds |
21.07.2023 | Thomas Martinetz / Hans-Oliver Hansen | Barlow-Twins |
28.07.2023 | Erhardt Barth / Yaxin Hu | Video Recognition |
04.08.2023 | Marius Jahrens | The state of Large Language Models for general reasoning |
WINTERSEMESTER 2023 | ||
20.10.2023 | Manuel Laufer | Using Synthetic Data to Predict Diagnostic Quality Based on Depth Images |
27.10.2023 | Dominik Mairhöfer | Pixel-Wise Representation Learning |
03.11.2023 | Muhammad Mushtaq | “Possible mechanisms to improve sleep spindles via closed loop stimulation during slow wave sleep” |
10.11.2023 | Amir Madany | Graph Neural Networks to generate a Principal Odor Map |
24.11.2023 | Christoph Linse | Gradient Flow ReLU facilitates activation maximization in deep neural networks |
01.12.2023 - IN PRÄSENZ !!! | Peter Chronz und Stefan Baur (Neurapix) | The Evolution of Image Editing: AI Integration and Innovations at Neurapix |
08.12.2023 | Tim Parbs | Bewegungsschätzung für MRT-Daten |
15.12.2023 | Kathleen Anderson | Entropy as a Metric for Privacy |
26.01.2024 | Paul Wimmer (Bosch) | |
tba | Thomas Käster | |
tba | Thomas Martinetz | |
tba | Erhardt Barth | |
tba | Marius Jahrens | |
tba | Hans-Oliver Hansen | |
tba | Finn Lübber | |
tba | Katrin Lämmermann | |
tba | Mohammad Shabanibozorg |
LUNCH-SEMINARE 2022
DATUM | VORTRAGENDE | THEMA DES VORTRAGS |
09.12.2022 | Thilo Stadelmann | In search for a better paradigm: deep learning between excitement, disillusion, and a new hope |
02.12.2022 | Kai Labusch | Machine Learning @ Berlin State Library |
25.11.2022 | Kathleen Anderson | Pairwise Filter Connections Improve the Accuracy of a Convolutional Neural Network |
18.11.2022 | Thomas Käster | Attention: Hype or Halleluja |
11.11.2022 | Christoph Linse | Designing a CNN architecture with very few parameters and what we could learn from it |
04.11.2022 | Christian Thiemann | FLIO - Differentiation of Smokers and Non-smokers Based on Novel Retina Imaging Technology |
28.10.2022 | Thomas Martinetz | Generalization bounds based on sample compression |
21.10.2022 | Philipp Steinschulte | Generative Adversarial Networks as Natural Image Prior for visualizing features of classification networks |
08.07.2022 | Marvin Raasch | Automatische Winkel-Quantifizierung der Sylvischen Furche in standardisierten Ultraschallbildern der vorderen koronalen Ebenen durch Deep Learning" |
01.07.2022 | Amir Madany | The DREAM Olfaction Prediction Challenge |
03.06.2022 | Hajo Nils Krabbenhöft | German Speech Recognition – Build your own State of the Art |
20.05.2022 | Hans-Oliver Hansen | Self-supervised Learning |
13.05.2022 | Muhammad Mushtaq | Cortical stimulation effects on sleep spindles during NREM sleep |
06.05.2022 | Erhardt Barth | The OptiVisT project and recognition in videos |
08.04.2022 | Marius Jahrens | Graph Neural Networks |
01.04.2022 | Philipp Grüning | Architecture Search for Deep Networks |
25.03.2022 | Manuel Laufer & Dominik Mairhöfer | The Current State of the X-Ray Assistent |
11.03.2022 | Lennart Berkel | Collimation Adjustment in X-Ray Diagnostics using Deep Learning |
04.03.2022 | Celina Schubbe | Body Part Segmentation on RGB-D Images |
25.02.2022 | Thomas Käster | Self-Supervised Learning with Barlow Twins |
18.02.2022 | Christoph Linse | Application of handcrafted filters in Convolutional Neural Networks |
11.02.2022 | Lars Scharje | A data-centric approach for improving ambiguous labels |
28.01.2022 | Benjamin Coors | Incorporating Prior Knowledge of Invariances into Deep Models for Computer Vision |
21.01.2022 | Alexandra Korda | Fractal dimension of brain sMRI in first-episode and clinical high-risk patients |
14.01.2022 | Christian Thiemann | Overinterpretation reveals image classification model pathologies |
LUNCH-SEMINARE 2021
DATUM | VORTRAGENDE | THEMA DES VORTRAGS |
17.12.2021 | PD Dr. Amir Madany | |
10.12.2021 | Norman Scheel, PhD | Neuroimaging of aging, dementia, and Alzheimer’s Disease |
03.12.2021 | Hans-Oliver Hansen, M.Sc. | Vision Transformer, MLP-Mixer und ConvMixer |
12.11.2021 | Prof. Dr. Erhardt Barth | The Riemann Machine |
05.11.2021 | Philipp Grüning, M.Sc. | Graph Neural Networks for Asthma Classification |
29.10.2021 | Marius Jahrens, M.Sc. | DINO: Emerging Properties in Self-Supervised Vision Transformers |
22.10.2021 | Muhammad Mushtaq, M.Sc. | Slow oscillations and sleep spindles in human sleep study |
08.10.2021 | Dominik Mairhöfer, M.Sc. | Spatial Transformer Networks for Spatial Attention |
01.10.2021 | Manuel Laufer, M.Sc. | Generating synthetic depth images from CT data |
24.09.2021 | Christoph Linse, M.Sc. | A walk in the blackbox - 3D visualization methods for CNNs |
03.09.2021 | Dr. Thomas Käster | Meta Pseudo Labels |
20.08.2021 | Prof. Dr. Thomas Martinetz | Neural Tangent Kernels |
06.08.2021 | Hans-Oliver Hansen, M.Sc. | Hopfield-Layer |
23.07.2021 | Christian Thiemann, M.Sc. | Automatische Detektion monoklonaler Banden bei Immunfixationselektrophorese |
09.07.2021 | Prof. Dr. Thomas Martinetz | Generalization of over-parameterized classifiers |
11.06.2021 | PD Dr. Amir Madany | Deep Learning in Higher Education |
04.06.2021 | Prof. Dr. Erhardt Barth / Philipp Grüning, M.Sc. | FP-nets and Hyper-Selectivity |
28.05.2021 | Philipp Grüning, M.Sc. | FP-nets and Vision |
21.05.2021 | Marius Jahrens, M.Sc. | Generalized Architecture Search and Architecture Learning |
07.05.2021 | Muhammad Mushtaq, M.Sc. | Thalamocortical model for slow oscillations |
23.04.2021 | Dominik Mairhöfer, M.Sc. | Diagnostic Quality Assessment of Ankle Radiographs |
09.04.2021 | Manuel Laufer, M.Sc. | ToF Cameras for Quality Assessment of Ankle Positioning |
26.03.2021 | Christoph Linse, M.Sc. | COVID-Nets: Deep CNN Architectures for Detecting COVID-19 from Chest CT Scans |
19.03.2021 | Dr. Thomas Käster / Christoph Schlichting, B.Sc. | Multi-Label Image Recognition |
05.03.2021 | Hans-Oliver Hansen, M.Sc. | Deep Image Priors |

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