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2020 – today
- 2024
[c6]Pallavi Mitra, Gesina Schwalbe, Nadja Klein:
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. CVPR Workshops 2024: 3542-3552- [c5]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. ECAI 2024: 3023-3030 - [c4]Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott:
Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families. ECML/PKDD (6) 2024: 320-336 - [c3]Paulo Yanez Sarmiento, Simon Witzke, Nadja Klein, Bernhard Y. Renard:
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation. ECML/PKDD (4) 2024: 336-351 - [i13]Maximilian Kertel, Nadja Klein:
Boosting Causal Additive Models. CoRR abs/2401.06523 (2024) - [i12]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. CoRR abs/2403.11966 (2024) - [i11]Paulo Yanez Sarmiento, Simon Witzke, Nadja Klein, Bernhard Y. Renard:
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation. CoRR abs/2404.14271 (2024) - [i10]Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak:
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. CoRR abs/2404.17427 (2024) - [i9]Pallavi Mitra, Gesina Schwalbe
, Nadja Klein:
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. CoRR abs/2405.20876 (2024) - [i8]Silke K. Kaiser, Nadja Klein, Lynn H. Kaack:
From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation. CoRR abs/2406.18454 (2024) - 2023
- [j13]Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein:
Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. Int. J. Semantic Comput. 17(4): 511-528 (2023) - [j12]David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller:
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105(2) (2023) - [j11]Lucas Kock, Nadja Klein, David J. Nott:
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models. Stat. Comput. 33(1): 24 (2023) - [c2]Ekin Celikkan, Mohammadmehdi Saberioon, Martin Herold, Nadja Klein:
Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification. ICCV (Workshops) 2023: 582-592 - [c1]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Priors for Knowledge Integration in Trajectory Prediction. ECML/PKDD (5) 2023: 392-407 - [i7]Benedikt Lütke Schwienhorst, Lucas Kock, David J. Nott, Nadja Klein:
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families. CoRR abs/2305.06625 (2023) - [i6]Victor Medina-Olivares, Stefan Lessmann, Nadja Klein:
The Deep Promotion Time Cure Model. CoRR abs/2305.11575 (2023) - 2022
- [j10]Paul F. V. Wiemann, Nadja Klein, Thomas Kneib:
Correcting for sample selection bias in Bayesian distributional regression models. Comput. Stat. Data Anal. 168: 107382 (2022) - [j9]Lorena Hafermann, Nadja Klein, Géraldine Rauch, Michael Kammer, Georg Heinze:
Using Background Knowledge from Preceding Studies for Building a Random Forest Prediction Model: A Plasmode Simulation Study. Entropy 24(6): 847 (2022) - [j8]Lucas Kock, Nadja Klein, David J. Nott:
Variational inference and sparsity in high-dimensional deep Gaussian mixture models. Stat. Comput. 32(5): 70 (2022) - [j7]Isa Marques, Thomas Kneib, Nadja Klein:
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes. Stat. Comput. 32(5): 73 (2022) - [i5]Christian Schlauch, Nadja Klein, Christian Wirth:
Informed Priors for Knowledge Integration in Trajectory Prediction. CoRR abs/2211.00348 (2022) - 2021
- [j6]Nadja Klein, David J. Nott, Michael Stanley Smith:
Marginally Calibrated Deep Distributional Regression. J. Comput. Graph. Stat. 30(2): 467-483 (2021) - [j5]Xuejun Yu, David J. Nott, Minh-Ngoc Tran, Nadja Klein:
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance. J. Comput. Graph. Stat. 30(4): 977-990 (2021) - [j4]Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis:
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). J. Stat. Softw. 100(4) (2021) - [i4]David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller:
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. CoRR abs/2104.02705 (2021) - [i3]Clara Hoffmann, Nadja Klein:
Marginally calibrated response distributions for end-to-end learning in autonomous driving. CoRR abs/2110.01050 (2021) - 2020
- [i2]David Rügamer, Chris Kolb, Nadja Klein:
A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. CoRR abs/2002.05777 (2020)
2010 – 2019
- 2019
- [j3]Hauke Thaden, Nadja Klein, Thomas Kneib:
Multivariate effect priors in bivariate semiparametric recursive Gaussian models. Comput. Stat. Data Anal. 137: 51-66 (2019) - [i1]Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis:
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). CoRR abs/1909.11784 (2019) - 2018
- [j2]Laura Ríos-Pena, Thomas Kneib, Carmen Cadarso-Suárez, Nadja Klein, Manuel Marey-Pérez:
Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression. Environ. Model. Softw. 110: 107-118 (2018) - 2016
- [j1]Nadja Klein, Thomas Kneib:
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. Stat. Comput. 26(4): 841-860 (2016)
Coauthor Index
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last updated on 2024-10-28 20:12 CET by the dblp team
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