Peer-Reviewed Conferences & Workshops

2026

• jdDATA - A collaborative framework for automatic curation and creation of a dataset for AI functions in autonomous driving pdf

  Azarm Nowzad, Michael Schötz, Hendrik Königshof, Robert Aufschläger, Fabian Bally, Daniel Bogdoll, Marc Heinrich, Wencan Huang, Dinish K Karunakaran, Erwin Kraft, Rupert Polley, Philipp Reis, Kevin Rösch, Christian Schlauch, Martina Katharina Schöll, Philip Schörner, Christina Sigl, Torsten Stiehm, Peter Szabados, Stefan Weber, Yue Yao, Tobias Zajusch, and Nadja Klein
  Accepted at PECCV26 Workshop Curated Data for Efficient Learning (CDEL) 2026

• Probabilistic object detection with conformal prediction pdf

  C. Ries, M. K. Sbeyti, N. Bianco, and N. Klein
  Accepted at Proceedings of the Fifteenth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 329, 2026

• Amortized variational inference for partial-label learning: A probabilistic approach to label disambiguation pdf

  T. Fuchs and N. Klein
  Accepted at The 43rd International Conference on Machine Learning, 2026

• Scalable learning of multivariate distributions via coresets pdf

  Z. Ding, K. Ickstadt, N. Klein, A. Munteanu, and S. Omlor
  The 29th International Conference on Artificial Intelligence and Statistics, 2026

2025

• Identifying the determinants of lifelong singlehood via boosted mixture cure models pdf

  G. Briseño-Sanchez, A. Carollo and N. Klein
  Proceedings of the 39th International Workshop on Statistical Modelling, 2025

• Bridging prediction and planning: Motion prediction models beyond open-loop benchmarks pdf

  D. Mohamed-Khalil Bouzidi, C. Schlauch, N. Scheuerer, Y. Yao, N. Klein, D. Göhring, J. Reichardt
  To appear in 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC 2025), 2025

• Uncertainty-aware trajectory prediction via rule-regularized heteroscedastic deep classification pdf

  K. Manas, C. Schlauch, A. Paschke, C. Wirth and N. Klein
  Robotics: Science and Systems (RSS), 2025

• Solar wind speed forecasting from solar images using distributional regression pdf

  D. Collin, Y. Shprits, S. Hofmeister, S. Bianco, N. Klein, and G. Gallego
  EGU General Assembly 2025, Vienna, Austria, 27 Apr-2 May 2025, EGU25-11587, 2025

• WeedsGalore: A multispectral and multitemporal UAV-based dataset for crop and weed segmentation in agricultural maize fields pdf

  E. Celikkan, T. Kunzmann, Y. Yeskaliyev, S. Itzerott, N. Klein and M. Herold
  2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 4767-4777, 2025

• MultiFlags: Multi-class size recommendations for fashion E-commerce

  H. Boeddeker, N. Klein, L. Lefakis, A. Weffer, L. Karessli and M. Shirvany
  17th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2025

2024

• Boosting distributional copula regression for bivariate time-to-event data pdf

  G. Briseño-Sanchez, N. Klein, A. Groll and A. Mayr
  Proceedings of the 38th International Workshop on Statistical Modelling, 2024

• Informed spectral normalized Gaussian processes for trajectory prediction pdf

  C. Schlauch, C. Wirth and N. Klein
  27th European Conference on Artificial Intelligence (ECAI), volume 392, pages 3023 - 3030, 2024

• Dropout regularization in extended generalized linear models based on double exponential families pdf

  B. Lütke Schwienhorst, L. Kock, D. Nott and N. Klein
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages 320-336, 2024

• Sparse explanations of neural networks using pruned layer-wise relevance propagation (PLRP) pdf

  P. Y. Sarmiento, S. Witzke, N. Klein and B. Y. Renard
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages 336-351, 2024

• Investigating calibration and corruption robustness of post-hoc pruned perception CNNs: An image classification benchmark study pdf

  P. Mitra, G. Schwalbe and N. Klein
  IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 3542-3552, 2024

• Cost-sensitive uncertainty-based failure case recognition for object detection pdf

  M. K. Sbeyti, M. Karg, C. Wirth, N. Klein and S. Albayrak
  Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI), volume 244, pages 1890-1900, 2024

• Complexity reduction via deselection for boosting distributional copula regression pdf

  A. Strömer, N. Klein and A. Mayr
  Proceedings of the 38th International Workshop on Statistical Modelling, 2024

2023

• Spatially adaptive Bayesian P-splines pdf

  P. Bach and N. Klein
  Proceedings of the 37th International Workshop on Statistical Modelling, volume 2, pages 361-365, 2023

• Semantic segmentation of crops and weeds with probabilistic modeling and uncertainty quantification pdf

  E. Celikkan, M. Saberioon, M. Herold and N. Klein
  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pages 582-592, 2023

• Approximate Bayesian computation for parameter identification in computational mechanics pdf

  M. G. R. Faes, N. Klein, M. Pauly, M. A. Valdebenito and M. A. Misraji
  14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14, 2023

• Predicting cycling traffic in cities: Is bikesharing data representative of the cycling volume? pdf

  S. Kaiser, N. Klein and L. Kaack
  11th International Conference on Learning Representations (ICLR 2023): Tackling Climate Change with Machine Learning Workshop, 2023

• A distributional regression approach for Gaussian process responses pdf

  T. Kneib, H. Riebl and N. Klein
  Proceedings of the 37th International Workshop on Statistical Modelling, volume 1, pages 279-284, 2023

• The consequences of not completing the generational cohort in estimating age-at-menopause pdf

  R. Martins, B. de Sousa, T. Kneib, M. Hohberg, N. Klein, E. Duarte and V. Rodrigues
  Proceedings of the 37th International Workshop on Statistical Modelling, volume 2, pages 502-506, 2023

• Informed priors for knowledge integration in trajectory prediction pdf

  C. Schlauch, N. Klein and C. Wirth
  ECML/PKDD 2023, 2023

• Complexity reduction via deselection for boosting distributional copula regression pdf

  A. Strömer, N. Klein, C. Staerk, H. Klinkhammer and A. Mayr
  Proceedings of the 37th International Workshop on Statistical Modelling, volume 1, pages 300-304, 2023

• Boosting distributional soft regression trees pdf

  N. Umlauf, J. Seiler, M. Wetscher and N. Klein
  Proceedings of the 37th International Workshop on Statistical Modelling, volume 1, pages 311-316 , 2023

2020

• Introducing non-stationarity to wrapped Gaussian spatial responses with an application to wind direction pdf

  I. Marques, N. Klein and T. Kneib
  Proceedings of the 35th International Workshop on Statistical Modelling, volume 1, pages 159–164, 2020

• Enhanced variable selection for distributional regression pdf

  A. Strömer, L. Weinhold, C. Staerk, S. Titze, N. Klein and A. Mayr
  Proceedings of the 35th International Workshop on Statistical Modelling, volume 1, pages 233–237, 2020

2019

• Density regression via penalised splines dependent Dirichlet process mixture of normal models pdf

  V. de Carvalho, M. Rodríguez-Alvarez and N. Klein
  Proceedings of the 34th International Workshop on Statistical Modelling, volume 1, pages 184–188 , 2019

• Neural network regression with an application to leukaemia survival data – An unstructured distributional approach pdf

  N. Klein, N. Umlauf and T. Simon
  Proceedings of the 34th International Workshop on Statistical Modelling, volume 1, pages 157–160, 2019

• Modular regression – A Lego system for building structured additive distributional regression models with tensor product interactions pdf

  T. Kneib, N. Klein, N. Umlauf and S. Lang
  Proceedings of the 34th International Workshop on Statistical Modelling, volume 1, pages 214–219 , 2019

• Non-stationary spatial regression for modelling monthly precipitation in Germany pdf

  I. Marques, N. Klein and T. Kneib
  Proceedings of the 34th International Workshop on Statistical Modelling, volume 2, pages 195–199 , 2019

• Gaussian process responses in distributional regression pdf

  H. Riebl, N. Klein and T. Kneib
  Proceedings of the 34th International Workshop on Statistical Modelling, volume 2, pages 341–345 , 2019

2018

• Effect selection in distributional regression pdf

  N. Klein, M. Carlan, T. Kneib, S. Lang and H. Wagner
  Proceedings of the 33th International Workshop on Statistical Modelling, volume 1, pages 157–162, 2018

2017

• Boosting distributional regression models for multivariate responses pdf

  A. Mayr, J. Thomas, M. Schmid, F. Faschingbauer and N. Klein
  Proceedings of the 32th International Workshop on Statistical Modelling, volume 1, pages 97–102, 2017

• Bayesian joint modelling of distributional regression pdf

  E. Waldmann, N. Klein and D. Taylor-Robinson
  Proceedings of the 32th International Workshop on Statistical Modelling, volume 1, pages 305–310, 2017

2014

• Bivariate Gaussian distributional regression: An application on diabetes pdf

  N. Klein, F. Gude, C. Cadarso-Suárez and T. Kneib
  Proceedings of the 29th International Workshop on Statistical Modelling, volume 1, pages 167–172, 2014

2013

• Bayesian generalized additive models for location, scale and shape for insurance data pdf

  N. Klein, T. Kneib and S. Lang
  Proceedings of the 28th International Workshop on Statistical Modelling, volume 2, pages 645–650, 2013