INB LUNCH SEMINAR - Talks

 

Only online via WEBEX:

https://uni-luebeck.webex.com/meet/thomas.martinetz

 

Our seminar takes place on Fridays at 12:00 hrs in our seminar room.

 

LUNCH SEMINARS 2023/2024

DATE NAME LECTURE TITLE
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
SUMMER SEMESTER 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
28.07.2023 Erhardt Barth / Yaxin Hu Video Recognition
04.08.2023 Marius Jahrens The state of Large Language Models for general reasoning
WINTER SEMESTER 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 Deep learning methods for MRI
15.12.2023 Kathleen Anderson Entropy as a Metric for Privacy
12.01.2024 Thomas Martinetz Gedankenlesen mit LLMs und EEG
19.01.2024 Leander Busch / Thomas Käster Detection and Recognition of Racing Bib Numbers
09.02.2024 Paul Wimmer (Bosch GmbH) Exploring Sparse Training Methods for Deep Neural Networks
16.02.2024 Finn Lübber Mental Disease through the Ages
23.02.2024 Erhardt Barth What is NeuroAI
19.04.2024 Niklas Hermes Hand analysis on 3d point clouds
tba Marius Jahrens  
tba Hans-Oliver Hansen  
tba Mohammad Shabanibozorg  
tba Katrin Lämmermann  

LUNCH SEMINARS 2022

DATE NAME LECTURE TITLE
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