@KleinSLab

Official Twitter page of the research group of Prof. Nadja Klein. @KITKarlsruhe, @KITinformatik, @SCC_KIT

 Germany
kleinlab-statml.github.io/
Joined February 2023
  • Tweets177
  • Following48
  • Followers80
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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!
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🚨 Exciting news! 🚨 We’re now on LinkedIn! 🎉 Follow us at linkedin.com/company/kleinla… 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 | LinkedIn

KleinLab | 351 followers on LinkedIn. We are a research group focused on statistical methods and machine learning, led by Prof. Dr. Nadja Klein at KIT. | KleinLab - Methods for Big Data, led by Prof....

linkedin.com
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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/17773…
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Now accepted at #ECAI2024! Informed Spectral Normalized Gaussian Processes for Trajectory Prediction by Christian Schlauch, Christian Wirth and Nadja Klein Code: github.com/continental/kiwis… Arxiv: arxiv.org/abs/2403.11966

GitHub - continental/kiwissen-bayesian-trajectory-prediction: Framework for integrating prior...

Framework for integrating prior knowledge into trajectory prediction models for autonomous driving via Bayesian continual learning. - continental/kiwissen-bayesian-trajectory-prediction

github.com
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We apply our informed SNGP model to the trajectory prediction problem in autonomous driving by integrating prior drivability knowledge and show increasing data-efficiency...
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... as well as increased robustness to location-transfers, across several metrics in comparison to non-informed and informed baseline 🏎️
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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/
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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
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Check out our current open postdoc position here: 🔗Postdoc: rb.gy/720b5a We also welcome initiative applications for PhDs!
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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!
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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
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Check out the full poster below 📰
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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
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🚴 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.
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🚴 5/n Check out some visualizations of historical bicycle traffic here: silkekaiser.github.io/resear…
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