KleinLab

Our lab is excited to start at the Scientific Computing Center (@SCC_KIT), Department of Informatics @KITinformatik at @KITKarlsruhe this August📚 We have open PhD & Postdoc positions in the intersection of Statistics & Machine Learning. Find out more below!

🚨 Exciting news! 🚨 We’re now on LinkedIn! 🎉 Follow us at linkedin.com/company/kleinl… as we move our activity there. Don’t forget to check our open positions and Master Thesis opportunities on our website: kleinlab-statml.github.io. Stay connected! 💼📚 #KleinLab

KleinLab is now part of @SCC_KIT! Our group, "Methods for Big Data," develops novel statistical and mathematical approaches at the intersection of Bayesian statistics and machine learning. Find out more here: scc.kit.edu/en/aboutus/177…

... as well as increased robustness to location-transfers, across several metrics in comparison to non-informed and informed baseline 🏎️

We apply our informed SNGP model to the trajectory prediction problem in autonomous driving by integrating prior drivability knowledge and show increasing data-efficiency...

Now accepted at #ECAI2024! Informed Spectral Normalized Gaussian Processes for Trajectory Prediction by Christian Schlauch, Christian Wirth and Nadja Klein Code: github.com/continental/ki… Arxiv: arxiv.org/abs/2403.11966

Zum 01. August tritt Professorin Nadja Klein @KleinSLab ihre Professur "Methods for Big Data" an der KIT-Fakultät für Informatik an. Wir wünschen ihr einen guten Start bei uns am @kitkarlsruhe! #Kitinformatik #BigData #Herzlichwillkommen Link zum Lab: kleinlab-statml.github.io

We have an open Research Fellow position (with the possibility of a PhD) in statistical modeling of energy and mobility transition at @SCC_KIT in collaboration with the University of Bochum! Find more info and application details here: rb.gy/i05w3v

Check out our current open postdoc position here: 🔗Postdoc: rb.gy/720b5a We also welcome initiative applications for PhDs!

Our lab is excited to start at the Scientific Computing Center (@SCC_KIT), Department of Informatics @KITinformatik at @KITKarlsruhe this August📚 We have open PhD & Postdoc positions in the intersection of Statistics & Machine Learning. Find out more below!

We're very excited to welcome two new PhD students to our group! Dingyi Lai will work on Bayesian semi-structured distributional regression focusing on the explainability of genomic prediction. Florian Süßer will research multilevel models & conformal prediction. Welcome aboard!

Check out the full poster below 📰

We have a new #CVPR workshop paper by Pallavi Mitra, Gesina Schwalbe, and Nadja Klein! "Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study"! ✂️ 🔗Paper: rb.gy/txk735

@heibrids Spatial climate variability patterns reconstructed with Bayesian Hierarchical Learning

🚴 5/n Check out some visualizations of historical bicycle traffic here: silkekaiser.github.io/research

🚴 5/n There may be unobserved and latent variables that remain unaccounted for. In future research, more complex modeling approaches that take into account spatial and temporal dependencies can be another promising direction.

New preprint by Silke K. Kaiser, Nadja Klein & Lynn H. Kaack 📰 "From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation" Arxiv: rb.gy/py41zu Did you ever wonder how heavy bicycle traffic is in Berlin? Find out below 🚴 1/n