Machine Learning and Applications to Physics

from Monday, 2 December 2019 (08:05) to Wednesday, 4 December 2019 (19:00)
Facultad de Ciencias Físicas, Universidad Complutense de Madrid (Aula M2)

        : Sessions
    /     : Talks
        : Breaks
2 Dec 2019
3 Dec 2019
4 Dec 2019
AM
09:00
Machine learning (theory) - Prof. Pedro José Zufiria Zatarain (Universidad Politécnica de Madrid) (until 10:30) (Aula M2)
09:00 Introduction to statistical learning (I) - Prof. Pedro José Zufiria Zatarain (Universidad Politécnica de Madrid)   (Aula M2)
10:30 --- Coffee break ---
11:00
Applications beyond Physics (until 13:00) (Aula M2)
11:00 Big Data applications I - Mr. Alvaro Fernandez Velando (Banco Santander)   (Aula M2)
11:30 Big Data applications II - Prof. Carlos Ortega (UCM-Master Big Data)   (Aula M2)
12:00 Hardware for Machine Learning - Prof. Antonio Sanz Montemayor (Universidad Rey Juan Carlos)   (Aula M2)
12:30 Theory of LASSO methods - Prof. Ana Arribas Gill (Carlos III, UC3M-Santander Big Data Institute)   (Aula M2)
09:00
Machine learning (theory) - Prof. Juan Rojo (VU University (Amsterdam)) (until 10:30) (Aula M2)
09:00 Supervised learning - Prof. Juan Rojo (VU University)   (Aula M2)
09:45 Deep neural networks - Prof. Juan Rojo (VU University)   (Aula M2)
10:30 --- Coffee break ---
11:00
Applications (until 12:20) (Aula M2)
11:00 Support Vector Machines - Prof. Alberto Muñoz (Carlos III)   (Aula M2)
11:30 Applications to Medical Physics - Prof. Norberto Malpica (URJC)   (Aula M2)
12:00 Applications in Astrophysics and Particle Physics - Dr. Miguel Cárdenas-Montes (CIEMAT)   (Aula M2)
09:00
Bayesian methods (until 10:30) (Aula M2)
09:00 Introduction to Bayesian methods - Ekaterina Lobacheva (HSE University)   (Aula M2)
10:30 --- Coffee break ---
11:00
Bayesian methods (until 12:30) (Aula M2)
11:00 Approximate Bayesian inference - Ekaterina Lobacheva (HSE University)   (Aula M2)
PM
13:00 --- Lunch ---
14:00
Machine learning (theory) - Prof. Pedro José Zufiria Zatarain (Universidad Politécnica de Madrid) (until 15:30) (Aula M2)
14:00 Introduction to statistical learning (II) - Prof. Pedro José Zufiria Zatarain (Universidad Politécnica de Madrid)   (Aula M2)
15:30 --- Coffee break ---
16:00
Machine learning (hands-on) - Prof. Pedro José Zufiria Zatarain (Universidad Politécnica de Madrid) (until 18:00) (Aula M2)
12:20
Machine learning at IPARCOS (until 13:00) (Aula M2)
12:20 ML IN NUCLEAR PHYSICS & NUCLEAR MEDICINE - Joaquin L. Herraiz (Universidad Complutense de Madrid)   (Aula M2)
12:35 Machine learning meets astroparticle physics @ IPARCOS   (Aula M2)
12:50 Model selection for pion photoproduction - Raquel Molina Peralta (Universidad Complutense de Madrid - IPARCOS)   (Aula M2)
13:00 --- Lunch ---
14:00
Machine learning (theory) - Prof. Juan Rojo (VU University (Amsterdam)) (until 15:30) (Aula M2)
14:00 Supervised learning for classification and logistic regression - Prof. Juan Rojo (VU University)   (Aula M2)
14:30 Dimensional reduction and data visualisation - Prof. Juan Rojo (VU University)   (Aula M2)
15:00 Unsupervised learning: clustering & ensemble methods - Prof. Juan Rojo (VU University)   (Aula M2)
15:30 --- Coffee break ---
16:00
Machine learning (hands-on) - Prof. Juan Rojo (UV Amsterdam) (until 18:00) (Aula M2)
16:00 Advanced topics - Prof. Juan Rojo (VU University)   (Aula M2)
12:30
Bayesian methods (until 13:00) (Aula M2)
12:30 Bayesian linear regression - Mrs. Nadezhda Chirkova (HSE)   (Aula M2)
13:00 --- Lunch ---
14:00
Keynote - Prof. Pedro Larrañaga (Universidad Politécnica de Madrid) (until 15:00) (Aula M2)
15:00 --- Coffee break ---
15:30
Bayesian neural networks (until 17:00) (Aula M2)
15:30 Training Bayesian neural networks - Nadezhda Chirkova (HSE University)   (Aula M2)
16:30 Bayesian sparsification of neural networks - Nadezhda Chirkova (HSE University)   (Aula M2)
17:00
Bayesian neural networks (until 18:00) (Aula M2)
17:00 Practice on Bayesian sparsification of neural networks - Nadezhda Chirkova (HSE University)   (Aula M2)
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