Alejandro Molina

40 papers A* 8A 2C 1Misc 1Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting
2022	J	`jnl`	Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2022	J	`jnl`	Next2You: Robust Copresence Detection Based on Channel State Information. ACM Trans. Internet Things Mikhail Fomichev, Luis F. Abanto-Leon, Max Stiegler, Alejandro Molina, Jakob Link, Matthias Hollick
2021	J	`jnl`	Next2You: Robust Copresence Detection Based on Channel State Information. CoRR Mikhail Fomichev, Luis F. Abanto-Leon, Max Stiegler, Alejandro Molina, Jakob Link, Matthias Hollick
2021	J	`jnl`	Recurrent Rational Networks. CoRR Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting
2020	—	`conf`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. PGM Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2020	—	`conf`	CryptoSPN: Expanding PPML beyond Neural Networks. PPMLP@CCS Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	A	`conf`	CryptoSPN: Privacy-Preserving Sum-Product Network Inference. ECAI Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	J	`jnl`	CryptoSPN: Privacy-preserving Sum-Product Network Inference. CoRR Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	J	`jnl`	DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2020	A*	`conf`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	J	`jnl`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	A*	`conf`	Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. ICLR Alejandro Molina, Patrick Schramowski, Kristian Kersting
2020	—	`conf`	Residual Sum-Product Networks. PGM Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	A*	`conf`	Automatic Bayesian Density Analysis. AAAI Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2019	J	`jnl`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. CoRR Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2019	J	`jnl`	DeepDB: Learn from Data, not from Queries! CoRR Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2019	—	`conf`	DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets. PKDD/ECML Workshops (1) Claas Völcker, Alejandro Molina, Johannes Neumann, Dirk Westermann, Kristian Kersting
2019	Misc	`conf`	Gaussian Lifted Marginal Filtering. KI Stefan Lüdtke, Alejandro Molina, Kristian Kersting, Thomas Kirste
2019	J	`jnl`	Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. CoRR Alejandro Molina, Patrick Schramowski, Kristian Kersting
2019	J	`jnl`	Perils of Zero-Interaction Security in the Internet of Things. CoRR Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick
2019	J	`jnl`	Perils of Zero-Interaction Security in the Internet of Things. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick
2019	J	`jnl`	Random Sum-Product Forests with Residual Links. CoRR Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	A	`conf`	Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani
2019	—	`conf`	Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. FPT Lukas Weber, Lukas Sommer, Julian Oppermann, Alejandro Molina, Kristian Kersting, Andreas Koch
2019	J	`jnl`	SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
2018	J	`jnl`	Automatic Bayesian Density Analysis. CoRR Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2018	C	`conf`	Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. ICCD Lukas Sommer, Julian Oppermann, Alejandro Molina, Carsten Binnig, Kristian Kersting, Andreas Koch
2018	A*	`conf`	Core Dependency Networks. AAAI Alejandro Molina, Alexander Munteanu, Kristian Kersting
2018	—	`conf`	Gaussian Lifted Marginal Filtering. iWOAR Stefan Lüdtke, Alejandro Molina, Thomas Kirste
2018	A*	`conf`	Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2018	J	`jnl`	Model-based Approximate Query Processing. CoRR Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting
2018	J	`jnl`	Probabilistic Deep Learning using Random Sum-Product Networks. CoRR Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani
2018	A*	`conf`	Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito
2017	J	`jnl`	Coresets for Dependency Networks. CoRR Alejandro Molina, Alexander Munteanu, Kristian Kersting
2017	A*	`conf`	Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. AAAI Alejandro Molina, Sriraam Natarajan, Kristian Kersting
2017	J	`jnl`	Sum-Product Networks for Hybrid Domains. CoRR Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2016	J	`jnl`	Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting
2015	—	`conf`	LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches. VTC Fall Christoph Ide, Fabian Hadiji, Lars Habel, Alejandro Molina, Thomas Zaksek, Michael Schreckenberg, Kristian Kersting, Christian Wietfeld
2015	J	`jnl`	Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. Mach. Learn. Fabian Hadiji, Alejandro Molina, Sriraam Natarajan, Kristian Kersting