Thomas Kneib

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 35

Top Topics

Gaussian Processes

Top Venues

Comput. Stat. Data Anal.

Publications

Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken
Interpretable Additive Tabular Transformer Networks. Trans. Mach. Learn. Res. 2024 (2024)
Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. AISTATS (2024)
Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
Probabilistic Topic Modelling with Transformer Representations. CoRR (2024)
Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. 14 (1) (2024)
Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. CoRR (2024)
Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken
Coherence based Document Clustering. ICSC (2023)
David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
Probabilistic time series forecasts with autoregressive transformation models. Stat. Comput. 33 (2) (2023)
Anja Rappl, Thomas Kneib, Stefan Lang, Elisabeth Bergherr
Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data. Stat. Comput. 33 (6) (2023)
Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander Ecker
TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds. CoRR (2023)
Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. 38 (2) (2023)
Fernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic, Jorge González, Thomas Kneib, Peter Bühlmann, Lucas Kook, Guillermo Briseño-Sánchez, Raydonal Ospina
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining Knowl. Discov. 13 (1) (2023)
Rouven Schmidt, Thomas Kneib
Multivariate distributional stochastic frontier models. Comput. Stat. Data Anal. 187 (2023)
Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. CoRR (2023)
Paul F. V. Wiemann, Nadja Klein, Thomas Kneib
Correcting for sample selection bias in Bayesian distributional regression models. Comput. Stat. Data Anal. 168 (2022)
Alexander März, Thomas Kneib
Distributional Gradient Boosting Machines. CoRR (2022)
Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib
Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. CoRR (2022)
Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib
Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
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) (2022)
Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data. MISDOOM (2021)
Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib
AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. 6 (66) (2021)
David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
Transforming Autoregression: Interpretable and Expressive Time Series Forecast. CoRR (2021)
Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven
Conditional Model Selection in Mixed-Effects Models with cAIC4. J. Stat. Softw. 99 (8) (2021)
Jan Röder, Jan Muntermann, Thomas Kneib
Towards a Taxonomy of Data Heterogeneity. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Bruno Santos, Thomas Kneib
Noncrossing structured additive multiple-output Bayesian quantile regression models. Stat. Comput. 30 (4) (2020)
Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice
Generalised joint regression for count data: a penalty extension for competitive settings. Stat. Comput. 30 (5) (2020)
Andreas Groll, Julien Hambuckers, Thomas Kneib, Nikolaus Umlauf
LASSO-type penalization in the framework of generalized additive models for location, scale and shape. Comput. Stat. Data Anal. 140 (2019)
Hauke Thaden, Nadja Klein, Thomas Kneib
Multivariate effect priors in bivariate semiparametric recursive Gaussian models. Comput. Stat. Data Anal. 137 (2019)
Elmar Spiegel, Thomas Kneib, Fabian Otto-Sobotka
Generalized additive models with flexible response functions. Stat. Comput. 29 (1) (2019)
Bernhard Baumgartner, Daniel Guhl, Thomas Kneib, Winfried J. Steiner
Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data. OR Spectr. 40 (4) (2018)
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 (2018)
Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang-Claude, Heinz-Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. Comput. Math. Methods Medicine 2017 (2017)
Elisabeth Waldmann, Fabian Sobotka, Thomas Kneib
Bayesian regularisation in geoadditive expectile regression. Stat. Comput. 27 (6) (2017)
Roland Langrock, Thomas Kneib, Richard Glennie, Théo Michelot
Markov-switching generalized additive models. Stat. Comput. 27 (1) (2017)
Nadja Klein, Thomas Kneib
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. Stat. Comput. 26 (4) (2016)
Benjamin Hofner, Thomas Kneib, Torsten Hothorn
A unified framework of constrained regression. Stat. Comput. 26 (1-2) (2016)
Elisabeth Waldmann, Thomas Kneib
Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression. Stat. Comput. 25 (6) (2015)
Roland Langrock, Théo Michelot, Alexander Sohn, Thomas Kneib
Semiparametric stochastic volatility modelling using penalized splines. Comput. Stat. 30 (2) (2015)
María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Thomas Kneib, María Durbán, Paul H. C. Eilers
Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm. Stat. Comput. 25 (5) (2015)
Stefan Lang, Nikolaus Umlauf, Peter Wechselberger, Kenneth Harttgen, Thomas Kneib
Multilevel structured additive regression. Stat. Comput. 24 (2) (2014)
Fabian Sobotka, Göran Kauermann, Linda Schulze Waltrup, Thomas Kneib
On confidence intervals for semiparametric expectile regression. Stat. Comput. 23 (2) (2013)
Benjamin Hofner, Torsten Hothorn, Thomas Kneib
Variable selection and model choice in structured survival models. Comput. Stat. 28 (3) (2013)
Fabian Sobotka, Thomas Kneib
Geoadditive expectile regression. Comput. Stat. Data Anal. 56 (4) (2012)
Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner
Model-based Boosting 2.0. J. Mach. Learn. Res. 11 (2010)
Ludwig Fahrmeir, Thomas Kneib, Susanne Konrath
Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection. Stat. Comput. 20 (2) (2010)
Fabian Scheipl, Thomas Kneib
Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior. Comput. Stat. Data Anal. 53 (10) (2009)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
Conditional variable importance for random forests. BMC Bioinform. 9 (2008)
Thomas Kneib
Mixed model-based inference in geoadditive hazard regression for interval-censored survival times. Comput. Stat. Data Anal. 51 (2) (2006)