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Google Deep Mind and BBVA on ETSIT



Lugar:
Salón de actos del C
Fecha y Hora:
Fecha de Inicio: 19 abril 2017
Hora de Inicio: 19:00
Hora de Finalización: 21:30

Organizador:
IEEE
Descripción:

The company who created the Artificial Intelligence which defeated the best Alpha Go human player in the world last year is coming from London for a Machine Learning event in the "Salón de Actos" of building C.

 Schedule

19.00 Opening

19.10 TensorFlow - Tricks of the Trade by Mihaela Rosca

20.00 Introduction to Generative Adversarial Networks. Application to Semi-Supervised Learning by Jorge de Val

20.30 Round table

21.00 Drinks & networking

 Detailed Agenda:

 TensorFlow - Tricks of the Trade

Mihaela Rosca is a Research Engineer at DeepMind, working on generative models research. Previously, she was a software engineer at Google, focusing on applying deep learning techniques to natural language processing. The two roles involved using TensorFlow, both in a production oriented fashion as well as a pure research perspective.

Introduction to Generative Adversarial Networks. Application to Semi-Supervised Learning 

Jorge del Val is a technological researcher in BEEVA as a part of BBVA's innovation center. He also collaborates as a research fellow in the Signal Processing Applications Group (GAPS) in Universidad Politécnica de Madrid (UPM) since 2014 in the areas of machine learning and multi-agent systems. He received his M.S. in Mathematical Engineering from Universidad Complutense de Madrid (UCM) and his B.S. in Electrical Engineering from UPM. He also holds a partial B.S. in Physics from UNED. His current research interests include deep generative models, reinforcement learning and numerical methods in distributed multi-agent systems.

Round table about ML

Luis Hernández (SSR), Joaquín Salvachúa (DIT) y Pedro Zufiría (Mathematics) will highlight Machine Learning at ETSIT

Information and Register: www.ieeesb.es/DeepMind 


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