Alejandro Molina
Orcid: 0000-0003-4509-9174Affiliations:
- TU Dortmund, Department of Computer Science, Germany
According to our database1,
Alejandro Molina
authored at least 31 papers
between 2015 and 2022.
Collaborative distances:
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Bibliography
2022
ACM Trans. Internet Things, 2022
Int. J. Approx. Reason., 2022
2021
2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020
2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.
CoRR, 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the International Conference on Field-Programmable Technology, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018
Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators.
Proceedings of the 36th IEEE International Conference on Computer Design, 2018
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage.
CoRR, 2016
2015
Mach. Learn., 2015
LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015