Articoli con mandati relativi all'accesso pubblico - Kristian KerstingUlteriori informazioni
Non disponibili pubblicamente: 4
Color refinement and its applications
M Grohe, K Kersting, M Mladenov, P Schweitzer
Mandati: German Research Foundation
Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray …
M Alfeld, M Wahabzada, C Bauckhage, K Kersting, G van der Snickt, ...
Microchemical Journal 132, 179-184, 2017
Mandati: Federal Ministry of Education and Research, Germany
Lifted Inference for Hybrid Relational Models
J Choi, K Kersting, Y Chen
Mandati: US National Science Foundation
Public orientation of scientific institutions and disciplines: A longitudinal analysis of the “Informationsdienst Wissenschaft”(idw) 1995–2015
J Serong, L Koppers, E Luschmann, A Molina Ramirez, K Kersting, ...
Publizistik 62, 153-178, 2017
Mandati: Volkswagen Foundation
Disponibili pubblicamente: 217
Most likely heteroscedastic Gaussian process regression
K Kersting, C Plagemann, P Pfaff, W Burgard
Proceedings of the 24th international conference on Machine learning, 393-400, 2007
Mandati: German Research Foundation
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting
Machine learning 102, 209-245, 2016
Mandati: German Research Foundation
Large pre-trained language models contain human-like biases of what is right and wrong to do
P Schramowski, C Turan, N Andersen, CA Rothkopf, K Kersting
Nature Machine Intelligence 4 (3), 258-268, 2022
Mandati: European Commission
Explanatory Interactive Machine Learning
S Teso, K Kersting
Proceedings of the 2nd AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
Mandati: German Research Foundation, European Commission
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P Schramowski, W Stammer, S Teso, A Brugger, F Herbert, X Shao, ...
Nature Machine Intelligence 2 (8), 476-486, 2020
Mandati: German Research Foundation, European Commission
Predicting player churn in the wild
F Hadiji, R Sifa, A Drachen, C Thurau, K Kersting, C Bauckhage
2014 ieee conference on computational intelligence and games, 1-8, 2014
Mandati: Fraunhofer-Gesellschaft
Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models
P Schramowski, M Brack, B Deiseroth, K Kersting
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandati: European Commission, Federal Ministry of Education and Research, Germany
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86, 25-56, 2012
Mandati: Research Foundation (Flanders), Fraunhofer-Gesellschaft
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis
C Römer, M Wahabzada, A Ballvora, F Pinto, M Rossini, C Panigada, ...
Functional Plant Biology 39 (11), 878-890, 2012
Mandati: Fraunhofer-Gesellschaft
Metro maps of plant disease dynamics—automated mining of differences using hyperspectral images
M Wahabzada, AK Mahlein, C Bauckhage, U Steiner, EC Oerke, ...
Plos one 10 (1), e0116902, 2015
Mandati: Fraunhofer-Gesellschaft
Learning markov logic networks via functional gradient boosting
T Khot, S Natarajan, K Kersting, J Shavlik
2011 IEEE 11th international conference on data mining, 320-329, 2011
Mandati: Fraunhofer-Gesellschaft
Mixed sum-product networks: A deep architecture for hybrid domains
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandati: US Department of Defense, German Research Foundation
Random sum-product networks: A simple and effective approach to probabilistic deep learning
R Peharz, A Vergari, K Stelzner, A Molina, X Shao, M Trapp, K Kersting, ...
Uncertainty in Artificial Intelligence, 334-344, 2020
Mandati: German Research Foundation, European Commission
Einsum networks: Fast and scalable learning of tractable probabilistic circuits
R Peharz, S Lang, A Vergari, K Stelzner, A Molina, M Trapp, ...
International Conference on Machine Learning, 7563-7574, 2020
Mandati: US National Science Foundation, US Department of Defense, European Commission
Faster kernels for graphs with continuous attributes via hashing
C Morris, NM Kriege, K Kersting, P Mutzel
2016 IEEE 16th International Conference on Data Mining (ICDM), 1095-1100, 2016
Mandati: German Research Foundation
Multi-agent inverse reinforcement learning
S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik
2010 ninth international conference on machine learning and applications …, 2010
Mandati: Fraunhofer-Gesellschaft
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