Alejandro Molina
Alejandro Molina
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Mixed sum-product networks: A deep architecture for hybrid domains
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting
Thirty-second AAAI conference on artificial intelligence, 2018
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.
A Molina, S Natarajan, K Kersting
AAAI, 2357-2363, 2017
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
Poisson dependency networks: Gradient boosted models for multivariate count data
F Hadiji, A Molina, S Natarajan, K Kersting
Machine Learning 100 (2-3), 477-507, 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
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
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
Sum-product autoencoding: Encoding and decoding representations using sum-product networks
A Vergari, R Peharz, N Di Mauro, A Molina, K Kersting, F Esposito
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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
Öffentlichkeitsorientierung von Wissenschaftsinstitutionen und Wissenschaftsdisziplinen
J Serong, L Koppers, E Luschmann, AM Ramirez, K Kersting, ...
Publizistik 62 (2), 153-178, 2017
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
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
Core dependency networks
A Molina, A Munteanu, K Kersting
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI …, 2018
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
Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
A Molina, P Schramowski, K Kersting
arXiv preprint arXiv:1907.06732, 2019
Model-based Approximate Query Processing
M Kulessa, A Molina, C Binnig, B Hilprecht, K Kersting
arXiv preprint arXiv:1811.06224, 2018
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
R Peharz, S Lang, A Vergari, K Stelzner, A Molina, M Trapp, GV Broeck, ...
arXiv preprint arXiv:2004.06231, 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting
arXiv preprint arXiv:1905.08550, 2019
Traffic simulations with empirical data: How to replace missing traffic flows?
L Habel, A Molina, T Zaksek, K Kersting, M Schreckenberg
Traffic and Granular Flow'15, 491-498, 2016
CryptoSPN: Privacy-preserving Sum-Product Network Inference
A Treiber, A Molina, C Weinert, T Schneider, K Kersting
arXiv preprint arXiv:2002.00801, 2020
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