Find recent news on my group’s homepage:
I will join the LMU Munich from summer on as an Associate Professor for Data Science.
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Two papers on uncertainty quantification have been accepted!
Our paper on Semi-Structured Distributional Regression has been accepted for publication in The American Statistician.
Our paper on Autoregressive Transformation Models has been accepted for publication in Statistics and Computing.
I will be Interim Professor for Computational Statistics at the TU Dortmund this winter.
Our paper on the acceleration of model-based boosting has been accepted for publication in the Journal of Computational and Graphical Statistics.
Our paper Factorized Structured Regression for Large-Scale Varying Coefficient Models has been accepted at the ECML-PKDD 2022.
Our Software Paper deepregression was accepted at the Journal of Statistical Software.
I will be Interim Professor for Computational Statistics at the RWTH Aachen this summer.
Paper on the comparison between ML and regression for neck pain prognostics accepted.
I am now Associate Editor for AStA Advances in Statistical Analysis
I will organize a session for Advances in Statistical Learning with Neural Networks
I will be a Guest Editor for AStA Advances in Statistical Analysis
Combining graph neural networks and spatio-temporal disease models to predict Covid-19 cases in Germany
Deep Piecewise Exponential Additive Mixed Models
The mechanical energetics of walking across the adult lifespan
I was appointed Section Editor for the Journal of Statistical Software
Work on Climate Change, ML for Clinicians and Generative Models accepted.
Comparing shallow, deep, and transfer learning in predicting joint moments in running
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach
Paper Deep Semi-Supervised Time Series Classification accepted at ICMLA
I will serve another term as interim professor for Data Science (W2) in the upcoming winter semester.
Selective Inference for Additive and Linear Mixed Models
Modern Machine Learning Approaches Applied in Spinal Pain Research
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany
AutoCompboost: Automatic Interpretable Boosting
Paper on Bayesian Time-Varying Autoregssive Models accepted at the Journal of Forecasting
Paper Deep Conditional Transformation Models accepted at ECML
I was appointed interim professor for Data Science (W2) for next semester
Paper on Intra-Class Correlation as Pain Threshold Measurement
Our Covid-19 Paper was featured in an interview with Facebook
Paper on Semi-Structured Piecewise Exponential Models accepted at AAAI Spring Symposium 2021.
Paper on Machine Learning Approach for Predictive Modelling of Post-surgical Recovery.
Paper on Machine Learning for Survival Analysis accepted at the ECML 2020.
Paper on classification of Patellofemoral Pain Syndrome accepted at Gait and Posture
Today I finally got confirmed my new position.
Due to Covid-19 we unfortunately had to cancel …
Paper on interpretable machine learning models for classifying back pain accepted
Thanks to several people making a short research stay at Xiamen University possible!
I will present our new unifying method at the Institutskolloquium on 26th of February.
From 7th to 10th of July in 2020 we will host the European useR! satellite conference in Munich.
Paper on neck pain classification accepted at Gait and Posture
We will host a session on advances in deep regression.
New homepage launched.
I will join the working group computational statistics in Jan ‘20
Open researcher positions for deep distributional regressions
cAIC4 now supports lmeand gamm objects
Paper Inference for $L_2$-Boosting accepted
Our next Applied R Meetup will be at CYOSS
I will give a talk on Inference for L2-Boosting
Paper Conditional Model Selection in Mixed-Effects Models with cAIC4 accepted