Email: alejandro.molina tu-dortmund.de Phone: 0231/755-6093 Room-No.: OH14 R336

About

Hi,

I am Alejandro, and I am currently working with Prof. Kersting on models and applications for problems based on count data.
I received my M.Sc. in Computer Science at the University of Freiburg, where I worked mainly in the fields of Machine Learning and
Probabilistic Robotics.

I also tutored the courses:
- Spezialvorlesung Wissensentdeckung in Datenbanken. (2014 SS)
- Probabilistische Graphische Modelle. (2014 WS)
- Grundlagen der Datenwissenschaften. (2015 SS)

Projects

• SFB 876

Research Topics

• Machine Learning
• Statistical Learning

Publications

Molina/etal/2018a	Molina, Alejandro and Munteanu, Alexander and Kersting, Kristian. Core Dependency Networks. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
Molina/etal/2017a	Molina, Alejandro and Natarajan, Sriraam and Kersting, Kristian. Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), pages 2357--2363, 2017.
Erdmann/etal/2016b	Erdmann, Elena and Boczek, Karin and Koppers, Lars and von Nordheim, Gerret and Poelitz, Christian and Molina, Alejandro and Morik, Katharina and Mueller, Henrik and Rahnenfuehrer, Joerg and Kersting, Kristian. Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. In Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, 2016.
Habel/etal/2015a	Habel, Lars and Molina, Alejandro and Zaksek, Thomas and Kersting, Kristian and Schreckenberg, Michael. Traffic simulations with empirical data -- How to replace missing traffic flows?. In Knoop, Victor L. and Daamen, Winnie (editors), Traffic and Granular Flow '15, pages 491-498, Springer, 2016.
Hadiji/etal/2015b	Hadiji, Fabian and Molina, Alejandro and Natarajan, Sriraam and Kersting, Kristian. Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. In Machine Learning Journal (MLJ), Vol. 100, No. 2, pages 477-507, 2015.
Ide/etal/2015a	Ide, Christoph and Hadiji, Fabian and Habel, Lars and Molina, Alejandro and Zaksek, Thomas and Schreckenberg, Michael and Kersting, Kristian. and Wietfeld, Christian. LTE Connectivity and Vehicular Traffic Prediction based on Machine Learning Approaches. In IEEE 82nd Vehicular Technology Conference (VTC-Fall), Boston, USA, 2015.