Alejandro Molina

发表

CryptoSPN: Expanding PPML beyond Neural Networks (Contributed Talk)

Kristian Kersting, Thomas Schneider, Amos Treiber, 2020 .

Coresets for Dependency Networks pdf

Kristian Kersting, Alexander Munteanu, Alejandro Molina, 2017, ArXiv.

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Kristian Kersting, Robert Peharz, Zoubin Ghahramani, 2019, UAI.

CryptoSPN: Expanding PPML beyond Neural Networks

Kristian Kersting, Thomas Schneider, Amos Treiber, 2020, PPMLP@CCS.

Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

Fabian Hadiji, Kristian Kersting, Sriraam Natarajan, 2015, Machine Learning.

SONDA DE TRES FIBRAS ÓPTICAS PARA EL ESTUDIO DE LECHOS GAS-SÓLIDO FLUIDIZADOS EN RÉGIMEN BURBUJEANTE

Alejandro Molina, Pedro J. Torres, Erick Reyes-Vera, 2011 .

Gaussian Lifted Marginal Filtering

Thomas Kirste, Stefan Lüdtke, Alejandro Molina, 2018, iWOAR.

A D3M methodology for the integration of students' survey results with teachers' perspectives, based on objective, subjective and semantic measures

Alejandro Molina, Otilia Maria, 2016 .

Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks pdf

Kristian Kersting, Alejandro Molina, Patrick Schramowski, 2019, ICLR.

Probabilistic Deep Learning using Random Sum-Product Networks pdf

Kristian Kersting, Robert Peharz, Zoubin Ghahramani, 2018, ArXiv.

Regroupement s\'emantique de d\'efinitions en espagnol

Juan-Manuel Torres-Moreno, Gerardo Sierra, Alejandro Molina, 2015 .

LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches

Christian Wietfeld, Fabian Hadiji, Kristian Kersting, 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

CFD‐Facilitated Flow Field Analysis of Bubble Columns with Concentric Plates for Biological Applications

Alejandro Molina, H. F. Lobatón, C. A. Suárez, 2011 .

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Guy Van den Broeck, Kristian Kersting, Robert Peharz, 2020, ICML.

Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

Kristian Kersting, Sriraam Natarajan, Alejandro Molina, 2017, AAAI.

Random Sum-Product Forests with Residual Links pdf

Kristian Kersting, Alejandro Molina, Karl Stelzner, 2019, ArXiv.

Coreset based Dependency Networks

Kristian Kersting, Alexander Munteanu, Alejandro Molina, 2017 .

Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs

Andreas Koch, Alejandro Molina, Lukas Sommer, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

Carsten Binnig, Kristian Kersting, Andreas Koch, 2018, 2018 IEEE 36th International Conference on Computer Design (ICCD).

Design of a day tank glass furnace using a transient model and steady-state computation fluid dynamics

Alejandro Molina, Pablo Abad, Óscar H. Díaz-Ibarra, 2013 .

Automatic Bayesian Density Analysis pdf

Kristian Kersting, Robert Peharz, Zoubin Ghahramani, 2018, AAAI.

Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

Kristian Kersting, Sriraam Natarajan, Floriana Esposito, 2018, AAAI.

DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

Kristian Kersting, Dirk Westermann, Alejandro Molina, 2019, PKDD/ECML Workshops.

THREE-FIBER OPTICAL PROBE FOR STUDYING FLUIDIZED GAS-SOLID BEDS IN BUBBLING REGIME

Alejandro Molina, Erick Reyes-Vera, D. M. Dominguez-Gomez, 2011 .

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage pdf

Katharina Morik, Kristian Kersting, Jörg Rahnenführer, 2016, ArXiv.

Gaussian Lifted Marginal Filtering

Kristian Kersting, Thomas Kirste, Stefan Lüdtke, 2019, KI.

Advanced combustor design concept to control NOx and air toxics

David W. Pershing, Alejandro Molina, Jennifer Spinti, 1999 .

Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

Kristian Kersting, Robert Peharz, Floriana Esposito, 2018, AAAI.

A Vector Semantics Approach to the Geoparsing Disambiguation Task for Texts in Spanish

Alejandro Molina, Filomeno Alcántara, Victor Muñiz, 2019 .

CryptoSPN: Privacy-preserving Sum-Product Network Inference pdf

Kristian Kersting, Thomas Schneider, Amos Treiber, 2020, ECAI.

Model-based Approximate Query Processing pdf

Carsten Binnig, Kristian Kersting, Moritz Kulessa, 2018, ArXiv.

Laser-induced breakdown spectroscopy (LIBS) for detection of ammonium nitrate in soils

Alejandro Molina, David W. Hahn, Daniel Díaz, 2009, Defense + Commercial Sensing.

Traffic Simulations with Empirical Data: How to Replace Missing Traffic Flows?

Kristian Kersting, Michael Schreckenberg, Lars Habel, 2016 .

DeepVizdom: Deep Interactive Data Exploration

Carsten Binnig, Emanuel Zgraggen, Kristian Kersting, 2018 .

Sum-Product Networks for Hybrid Domains pdf

Kristian Kersting, Sriraam Natarajan, Floriana Esposito, 2017, ArXiv.

DeepDB

Carsten Binnig, Kristian Kersting, Andreas Schmidt, 2019, Proc. VLDB Endow..

Perils of Zero-Interaction Security in the Internet of Things

Matthias Hollick, Lars Almon, Max Maass, 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Core Dependency Networks

Kristian Kersting, Alexander Munteanu, Alejandro Molina, 2018, AAAI.

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks pdf

Kristian Kersting, Pascal Poupart, Robert Peharz, 2019, ArXiv.

Next2You: Robust Copresence Detection Based on Channel State Information pdf

Matthias Hollick, Jakob Link, Mikhail Fomichev, 2021, ArXiv.

Deep Rational Reinforcement Learning

Alejandro Molina, Martin Mundt, Patrick Schramowski, 2021 .

Recurrent Rational Networks pdf

Kristian Kersting, Alejandro Molina, Patrick Schramowski, 2021, ArXiv.

Model-based ApproximateQuery Processing

Carsten Binnig, Kristian Kersting, Moritz Kulessa, 2018 .