| Deepdb: Learn from data, not from queries! B Hilprecht, A Schmidt, M Kulessa, A Molina, K Kersting, C Binnig arXiv preprint arXiv:1909.00607, 2019 | 303 | 2019 |
| 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 | 136 | 2018 |
| 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 | 134 | 2020 |
| 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, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2019 | 134 | 2019 |
| Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks A Molina, P Schramowski, K Kersting International Conference on Learning Representations, 2020 | 93 | 2020 |
| Spflow: An easy and extensible library for deep probabilistic learning using sum-product networks A Molina, A Vergari, K Stelzner, R Peharz, P Subramani, N Di Mauro, ... arXiv preprint arXiv:1901.03704, 2019 | 65 | 2019 |
| LTE connectivity and vehicular traffic prediction based on machine learning approaches C Ide, F Hadiji, L Habel, A Molina, T Zaksek, M Schreckenberg, K Kersting, ... 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 1-5, 2015 | 50 | 2015 |
| Conditional sum-product networks: Imposing structure on deep probabilistic architectures X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Conference on Probabilistic Graphical Models, 401-412, 2020 | 49 | 2020 |
| Poisson sum-product networks: A deep architecture for tractable multivariate poisson distributions A Molina, S Natarajan, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 49 | 2017 |
| Automatic Bayesian density analysis A Vergari, A Molina, R Peharz, Z Ghahramani, K Kersting, I Valera Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, 2019 | 43 | 2019 |
| Poisson dependency networks: Gradient boosted models for multivariate count data F Hadiji, A Molina, S Natarajan, K Kersting Machine Learning 100, 477-507, 2015 | 40 | 2015 |
| Probabilistic deep learning using random sum-product networks R Peharz, A Vergari, K Stelzner, A Molina, M Trapp, K Kersting, ... arXiv preprint arXiv:1806.01910, 2018 | 36 | 2018 |
| Automatic mapping of the sum-product network inference problem to fpga-based accelerators L Sommer, J Oppermann, A Molina, C Binnig, K Kersting, A Koch 2018 IEEE 36th International Conference on Computer Design (ICCD), 350-357, 2018 | 34 | 2018 |
| Core dependency networks A Molina, A Munteanu, K Kersting Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI …, 2018 | 32 | 2018 |
| Perils of zero-interaction security in the internet of things M Fomichev, M Maass, L Almon, A Molina, M Hollick Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 31 | 2019 |
| Sum-product autoencoding: Encoding and decoding representations using sum-product networks A Vergari, R Peharz, N Di Mauro, A Molina, K Kersting, F Esposito Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 28 | 2018 |
| Öffentlichkeitsorientierung von Wissenschaftsinstitutionen und Wissenschaftsdisziplinen J Serong, L Koppers, E Luschmann, A Molina Ramirez, K Kersting, ... Publizistik 62 (2), 153-178, 2017 | 27 | 2017 |
| Conditional sum-product networks: Modular probabilistic circuits via gate functions X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Journal of Approximate Reasoning 140, 298-313, 2022 | 20 | 2022 |
| Model-based approximate query processing M Kulessa, A Molina, C Binnig, B Hilprecht, K Kersting arXiv preprint arXiv:1811.06224, 2018 | 20 | 2018 |
| Adaptive rational activations to boost deep reinforcement learning Q Delfosse, P Schramowski, M Mundt, A Molina, K Kersting arXiv preprint arXiv:2102.09407, 2021 | 17* | 2021 |
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLIS確認したメール アドレス: cs.tu-darmstadt.de