OCEANS Machine Learning School – Program

Monday, November 24
8:30 –  9:00
Registration
9:00 –  9:30
Welcome and general information
9:30 – 10:30
Machine Learning Fundamentals 01
Raquel Pezoa
10:30 – 11:00
Coffee Break
11:00 – 12:30
Machine Learning Fundamentals 02
Raquel Pezoa
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Applications of ML using Jupyter Notebook
Raquel Pezoa
15:30 – 16:00
Coffee Break
16:00 – 17:30
Astronomical Databases
Catalina Arcos
Tuesday, November 25
9:30 – 10:30
Deep Learning 01
Ricardo Ñanculef
10:30 – 11:00
Coffee Break
11:00 – 12:30
Deep Learning 02
Ricardo Ñanculef
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Deep Learning 01
Ricardo Ñanculef
15:30 – 16:00
Coffee Break
16:00 – 17:30
Hands on Session:
Deep Learning 02
Ricardo Ñanculef
Wednesday, November 26
9:30 – 10:30
Feature Extraction, SVD and PCA
Claudio Torres
10:30 – 11:00
Coffee Break
11:00 – 12:30
Deep Learning 03
Sara Cuéllar
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Feature Extraction
Claudio Torres
15:30 – 16:00
Coffee Break
16:00 – 17:30
Hands on Session:
Deep Learning 03
Sara Cuéllar
Thursday, November 27
9:30 – 10:30
Anomaly Detection
Sara Cuéllar
10:30 – 11:00
Coffee Break
11:00 – 12:30
Kernel Density Estimation
Michel Curé
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Kernel Density Estimation
Michel Curé
15:30 – 16:00
Coffee Break
16:00 – 17:30
Hands on Session:
Anomaly Detection with ISOSCELES DB
Sara Cuéllar
Friday, November 28
9:30 – 10:30
Tihkonov Regularization
Michel Curé
10:30 – 11:00
Coffee Break
11:00 – 12:30
Numerical Optimization using Genetics Algorithms
Ignacio Araya
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Tihkonov
Michel Curé
15:30 – 16:00
Coffee Break
16:00 – 17:30
Hands on Session:
Genetics Algorithms
Ignacio Araya
Monday, December 1
9:30 – 10:30
An introduction to Bayesian Statistics and MCMC
Joaquín Cavieres
10:30 – 11:00
Coffee Break
11:00 – 12:30
An introduction to Stan
Joaquín Cavieres
12:30 – 14:00
Lunch
14:00 – 15:30
Bayesian modeling using Stan
Part 1: A Bayesian perspective of Tikonov Regularization
Joaquín Cavieres
15:30 – 16:00
Coffee Break
16:00 – 17:30
Bayesian modeling using Stan
Part 2: Gaussian process regression
Joaquín Cavieres
Tuesday, December 2
9:30 – 10:30
Data imputation in light curves
Alejandra Christen
10:30 – 11:00
Coffee Break
11:00 – 12:30
Gaussian Process
Alejandro Veloz
12:30 – 14:00
Lunch
14:00 – 15:30
Hands on Session:
Data Imputation
Alejandra Christen
15:30 – 16:00
Coffee Break
16:00 – 17:30
Hands on Session:
Gaussian Process
Alejandro Veloz
Wednesday, December 3
9:30 – 10:30
Project introduction session
10:30 – 11:00
Coffee Break
11:00 – 12:30
Project development
12:30 – 14:00
Lunch
14:00 – 15:30
Project development
15:30 – 16:00
Coffee Break
16:00 – 17:30
Project development
Thursday, December 4
9:30 – 10:30
Project development
10:30 – 11:00
Coffee Break
11:00 – 12:30
Project development
12:30 – 14:00
Lunch
14:00 – 15:30
Project development
15:30 – 16:00
Coffee Break
16:00 – 17:30
Project development
Friday, December 5
9:30 – 10:30
Students presentations
10:30 – 11:00
Coffee Break
11:00 – 12:30
Students presentations
12:30 – 14:00
Lunch
14:00 – 15:30
Students presentations
15:30 – 16:00
Coffee Break
16:00 – 17:30
Students presentations
17:30 – 18:00
Closing remarks