LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches. - Christoph Ide; Fabian Hadiji; Lars Habel; Alejandro Molina 001; Thomas Zaksek; Michael Schreckenberg; Kristian Kersting; Christian Wietfeld (VTC Fall, 2015)

Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. - Fabian Hadiji; Alejandro Molina 001; Sriraam Natarajan; Kristian Kersting (Mach. Learn., 2015)

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. - Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina 001; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting (CoRR, 2016)

Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. - Alejandro Molina 001; Sriraam Natarajan; Kristian Kersting (AAAI, 2017)

Coresets for Dependency Networks. - Alejandro Molina 001; Alexander Munteanu; Kristian Kersting (CoRR, 2017)

Sum-Product Networks for Hybrid Domains. - Alejandro Molina 001; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting (CoRR, 2017)

Core Dependency Networks. - Alejandro Molina 001; Alexander Munteanu; Kristian Kersting (AAAI, 2018)

Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. - Alejandro Molina 001; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting (AAAI, 2018)

Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. - Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina 001; Kristian Kersting; Floriana Esposito (AAAI, 2018)

Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. - Lukas Sommer; Julian Oppermann; Alejandro Molina 001; Carsten Binnig; Kristian Kersting; Andreas Koch 001 (ICCD, 2018)

Gaussian Lifted Marginal Filtering. - Stefan Lüdtke; Alejandro Molina 001; Thomas Kirste (iWOAR, 2018)

Probabilistic Deep Learning using Random Sum-Product Networks. - Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Kristian Kersting; Zoubin Ghahramani (CoRR, 2018)

Model-based Approximate Query Processing. - Moritz Kulessa; Alejandro Molina 001; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting (CoRR, 2018)

Automatic Bayesian Density Analysis. - Antonio Vergari; Alejandro Molina 001; Robert Peharz; Zoubin Ghahramani; Kristian Kersting; Isabel Valera (AAAI, 2019)

Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. - Lukas Weber; Lukas Sommer; Julian Oppermann; Alejandro Molina 001; Kristian Kersting; Andreas Koch 001 (FPT, 2019)

Gaussian Lifted Marginal Filtering. - Stefan Lüdtke; Alejandro Molina 001; Kristian Kersting; Thomas Kirste (KI, 2019)

DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets. - Claas Völcker; Alejandro Molina 001; Johannes Neumann; Dirk Westermann; Kristian Kersting (PKDD/ECML Workshops (1), 2019)

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. - Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani (UAI, 2019)

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. - Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting (CoRR, 2019)

Random Sum-Product Forests with Residual Links. - Fabrizio Ventola; Karl Stelzner; Alejandro Molina 001; Kristian Kersting (CoRR, 2019)

Perils of Zero-Interaction Security in the Internet of Things. - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Results for scheme by Shrestha et al. from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Results for scheme by Truong et al. from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Results for scheme by Miettinen et al. from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Results for scheme by Schürmann and Sigg from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Results for scheme by Karapanos et al. from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Processed data from Mobile scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Processed data from Car scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Processed data from Office scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Raw data from Car scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Raw data from Office scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Raw data from Mobile scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Index of supplementary files from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

Audio data from Mobile scenario from "Perils of Zero-Interaction Security in the Internet of Things". - Mikhail Fomichev; Max Maass; Lars Almon; Alejandro Molina 001; Matthias Hollick (Zenodo, 2019)

CryptoSPN: Expanding PPML beyond Neural Networks. - Amos Treiber; Alejandro Molina 001; Christian Weinert; Thomas Schneider 003; Kristian Kersting (PPMLP@CCS, 2020)

CryptoSPN: Privacy-Preserving Sum-Product Network Inference. - Amos Treiber; Alejandro Molina 001; Christian Weinert; Thomas Schneider 003; Kristian Kersting (ECAI, 2020)

Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. - Alejandro Molina 001; Patrick Schramowski; Kristian Kersting (ICLR, 2020)

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. - Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani (ICML, 2020)

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. - Xiaoting Shao; Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting (PGM, 2020)

Residual Sum-Product Networks. - Fabrizio Ventola; Karl Stelzner; Alejandro Molina 001; Kristian Kersting (PGM, 2020)

DeepDB: Learn from Data, not from Queries! - Benjamin Hilprecht; Andreas Schmidt 002; Moritz Kulessa; Alejandro Molina 001; Kristian Kersting; Carsten Binnig (Proc. VLDB Endow., 2020)

Recurrent Rational Networks. - Quentin Delfosse; Patrick Schramowski; Alejandro Molina 001; Kristian Kersting (CoRR, 2021)

Index of Supplementary Files from "Next2You: Robust Copresence Detection Based on Channel State Information". - Mikhail Fomichev; Luis F. Abanto-Leon; Max Stiegler; Alejandro Molina 001; Jakob Link; Matthias Hollick (Zenodo, 2021)

Raw data from "Next2You: Robust Copresence Detection Based on Channel State Information". - Mikhail Fomichev; Luis F. Abanto-Leon; Max Stiegler; Alejandro Molina 001; Jakob Link; Matthias Hollick (Zenodo, 2021)

Evaluation results from "Next2You: Robust Copresence Detection Based on Channel State Information". - Mikhail Fomichev; Luis F. Abanto-Leon; Max Stiegler; Alejandro Molina 001; Jakob Link; Matthias Hollick (Zenodo, 2021)

Conditional sum-product networks: Modular probabilistic circuits via gate functions. - Xiaoting Shao; Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting (Int. J. Approx. Reason., 2022)

Next2You: Robust Copresence Detection Based on Channel State Information. - Mikhail Fomichev; Luis F. Abanto-Leon; Max Stiegler; Alejandro Molina 001; Jakob Link; Matthias Hollick (ACM Trans. Internet Things, 2022)

Adaptive Rational Activations to Boost Deep Reinforcement Learning. - Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina 001; Kristian Kersting (ICLR, 2024)