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	Local Contrastive Learning for Dense Representations
21.06.2024	Christoph Linse	Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
21.06.2024	Christoph Linse	Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
28.06.2024	Finn Lübber	Artificial Self-Beliefs in Large Language Models
05.07.2024	Kathleen Anderson	Optimizing for Statistical Independence using a KNN Density Estimator
12.07.2024	Daniel Rapoport	Der freie Wille und die naturgesetzliche Bestimmtheit von Allem
19.07.2024	Amir Madany	Natural Statistics of Olfaction: Evolution und neuronale Verarbeitung von Signalen im olfaktorischen System
26.07.2024 ! in PRÄSENZ!	Pradeep Banerjee	Unsupervised Skill Discovery in Reinforcement Learning
Wintersemester 2024
18.10.2024	Marius Jahrens	AI models collapse when trained on recursively generated data
25.10.2024	Felicitas Brokmann	Untersuchung der Auswirkungen unausgewogener medizinischer CT-Datensätze auf die Leistung von Ansätzen des selbstüberwachten Lernens
8.11.2024	Christoph Linse	Mechanism for feature learning in neural networks and backpropagation-free machine learning models
15.11.2024	Gesina Schwalbe - IN PRÄSENZ	Verification of DNNs Against Symbolic Constraints Using Latent Space Introspection
15.11.2024	Gesina Schwalbe - IN PRÄSENZ	Junior Research Group Correctable Hybrid AI – An Outlook
22.11.2024	Konrad von Kügelgen	Einsatz von Deep Learning für das Retrieval diagnostischer Befunde aus deutschsprachigen radiologischen Daten
29.11.2024	Oliver Hansen	Barlow Twins
6.12.11.2024	Sebastian Otte - IN PRÄSENZ	On the Effectiveness of Resonators in Recurrent (Spiking) Neural Networks
13.12.2024	Mohammad Shabanibozorg	A Brief Overview of Fine-Tuning LLMs
20.12.2024	Dominik Mairhöfer
10.01.2025	Kathleen Anderson
17.01.2025	Amir Madany
24.01.2025	Manuel Laufer
31.01.2025	Stefan Kopp - IN PRÄSENZ
06.02.2025	Thomas Martinetz
13.02.2024	Erhardt Barth

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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