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

  1. Darstellung und Diskussion von aktuellen wissenschaftlichen Themen
  2. Vorstellung von Ergebnissen aus Bachelor- und Masterarbeiten.  

 

Die derzeitige Terminplanung ist in der folgenden Tabelle zusammengefasst:

LUNCH-SEMINARE 2024

2024 VORTRAGENDE THEMA DES VORTRAGS
12.01.2024 Thomas Martinetz Gedankenlesen mit LLMs und EEG
19.01.2024 Leander Busch / Thomas Käster Detection and Recognition of Racing Bib Numbers
09.02.20024 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
12.04.2024 Thomas Martinetz Je mehr Trainingsdaten umso besser: stimmt das (immer)?
19.04.2024 Niklas Hermes Hand analysis on 3d point clouds
26.04.2024 Marius Jahrens Why LLMs cannot think and how to fix it
03.05.2024 Oliver Hansen Bidirectional Augmented Redundancy-Limiting Optimization With Twin Integrated Network Structures
17.05.2024 Mohammad Shabanibozorg Impact of Parkinson's Disease on the Fluorescence Lifetime of the Ocular Fundus
24.05.2024 Manuel Laufer A Brief Overview of Self-Supervised Learning in the Medical Field
31.05.2024 Konrad von Kügelgen Using Deep Learning for Diagnostic Report Retrieval from German Radiological Data
07.06.2024 Dominik Mairhöfer  
14.06.2024 Muhammad Mushtaq  
21.06.2024 Finn Lübber  
28.06.2024 Christoph Linse  
05.07.2024 Kathleen Anderson  
12.07.2024 Daniel Rapoport Der freie Wille und die naturgesetzliche Bestimmtheit von Allem
19.07.2024 Amir Madany  
26.07.2024 Pradeep Banerjee  
Semesterende    

LUNCH-SEMINARE 2023

2023 VORTRAGENDE THEMA DES VORTRAGS
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
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
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

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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