09:00–09:15
Explainable and consistent embeddings of high-dimensional recordings using auxiliary variables
Steffen Schneider · EPFL · Switzerland
09:15–09:30
Healthcare 3.0: How to Transform Machine Learning Prototypes into Functional Healthcare Applications for Diagnostic Assistance?
Martin Dyrba · DZNE · Germany
09:30–09:45
Germany Modeling cold plasma dynamics in the Earth’s ionosphere using neural networks
Stefano Bianco · GFZ · Germany
09:45–10:00
Open data and explainable models for power systems
Benjamin Schäfer · KIT · Germany
10:00–10:15
Active learning-assisted neutron spectroscopy with log-Gaussian processes
Mario Teixeira Parente · FZJ · Germany
10:15–10:30
Model selection and invariance learning in Bayesian neural networks
Vincent Fortuin · Helmholtz Center Munich · Germany
09:00–09:15
Drug repositioning using multi-omic data integration for novel treatments of ALS
Sonja Hänzelmann · University of Hamburg, Germany
09:15–09:30
Attention based multiple instance learning for the real-world scenario leukemia diagnosis
Ivan Kukuljan · Helmholtz Center Munich · Germany
09:30–09:45
Reconstruction of missing data in climate datasets of extreme events using artificial intelligence
Etienne Plésiat · DKRZ · Germany
09:45–10:00
Developmental Trees from Single-Cell Data
Johannes Wahle · DZNE · Germany
10:00–10:15
The Needles in the Haystack: An Active Design of Experiments for Accelerated Discovery of Magnesium Corrosion Inhibitors
Tim Würger · Helmholtz Center Hereon · Germany
10:15–10:30
Generative Modeling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain
Ahmed Nebli · FZJ · Germany
11:00–11:15
Attention to Particle Cloud Generation
Benno Käch · DESY · Germany
11:15–11:30
Prompt Your Drug: From AI-Generated Images to Customised Molecules
Marie Oestreich · DZNE · Germany
11:30–11:45
spateGAN: Spatio-temporal downscaling of precipitation data using a conditional generative adversarial network
Luca Glawion · KIT · Germany
11:45–12:00
Joint Energy-based Modelling for Remote Sensing Image Processing
Daniel Orozco · Technical University Munich · Germany
12:00–12:15
Multigrate: multimodal single-cell integration and prediction with multiple-instance learning
Anastasia Litinetskaya · Helmholtz Center Munich · Germany
12:15–12:30
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
Moritz Scham · DESY · Germany
11:00–11:15
Towards a Data-driven Digital Twin of a Free Electron Laser
Anna Willmann · Helmholtz Center Dresden-Rossendorf · Germany
11:15–11:30
Training Deep Data Assimilation Networks on Sparse and Noisy Observations
Vadim Zinchenko · Helmholtz Center Hereon · Germany
11:30–11:45
Data-driven Simulation of Target Normal Sheath Acceleration by Fourier Neural Operator
Jeyhun Rustamov · Helmholtz Center Dresden-Rossendorf · Germany
11:45–12:00
Equivariant Neural Networks for the win in low data volume regimes
Peter Steinbach · Helmholtz Center Dresden-Rossendorf · Germany
12:00–12:15
Deep Learning with Data Limitations: A Use Case of Predicting Inhibition Efficiencies for Magnesium Dissolution Modulators
Elisabeth Schiessler · Helmholtz Center Hereon · Germany
12:15–12:30
Identifying cell-cycle control mechanisms by high-throughput phenotyping on a single-cell level
Benedikt Mairhörmann · Helmholtz Center Munich · Germany
14:00–14:15
Learning Continuous Dynamics from Time-lapsed Single-cell data
Alexander Tong · University of Montreal and Mila · Canada
14:15–14:30
Modeling intercellular communication in tissues using spatial graphs of cells
Anna Schaar · Helmholtz Munich · Germany
14:30–14:45
Geometry-based Data Exploration
Guy Wolf · University of Montreal and Mila · Canada
14:45–15:00
Building artificial neural networks that respect brain anatomy and learn well
Jonathan Cornford · Mila and McGill University · Canada
15:00–15:15
Large-scale AI for Microstructural Analysis of the Human Brain
Christian Schiffer · FZJ · Germany
15:15–15:30
Functional specialization in biological and artificial neural networks
Shahab Bakhtiari · University of Montreal and Mila · Canada
14:00–14:15
Extracting meaningful patterns from seismic time series with exploratory data analysis
Rene Steinmann · GFZ · Germany
14:15–14:30
Winning the peak shape and peak timing tasks of the bigdeal load forecasting challenge with conditional invertible neural networks
Oliver Neumann · KIT · Germany
14:30–14:45
A machine learning approach to improve metadata reliability from SRA deposited sequences, an NFDI4Microbiota effort
Jonas Kasmanas · UFZ · Germany
14:45–15:00
Towards In-Silico CLIP-seq: RBPNet Predicts Protein-RNA Interactions via Sequence-to-Signal Learning
Marc Horlacher · Helmholtz Munich · Germany
15:00–15:15
A Novel Voronoi-based Convolutional Neural Network Approach for Crowd Video Analysis and Pushing Person Detection
Ahmed Alia · FZJ · Germany
15:15–15:30
Data-Driven Fault Diagnosis of Laser Oscillators Using Long-Short-Term Memory Recurrent Neural Network
Arne Grünhagen · University of Hamburg · Germany