02901 Advanced Topics in Machine Learning: Machine Learning and Human Cognition

August 17-21, 2020 at the Section for Cognitive Systems, DTU Compute

Description

The course consists of five days (Monday-Friday) of lectures and exercises. The lectures will cover theoretical aspects such as Bayesian optimization, active learning, causality and reinforcement learning as well as their connections to human cognition. Technical aspects, programming and application of the developed concepts will be explored in tutorials and exercises. The course (2.5 ECTS points) is passed by handing in a small report on one of the topics covered in the course. For further course details click here.

Location

DTU Building 303A auditorium 41 (lectures will also be streamed).

Hours

Every day August 17-21, 2020, 9 AM - 4 PM (except Tuesday and Thursday 9 AM - 5 PM).

Course programme and speakers

Monday 17th of August (9 AM - 4 PM)

Kristoffer Hougaard Madsen, Bayesian Optimization and Gaussian Processes
Christoph Mathys , Active inference and predictive coding in human cognition

Tuesday 18th of August (9 AM - 5 PM)

Kristoffer Hougaard Madsen, Active Machine Learning
Scott Yang, Models of active learning in perception, cognition, etc.

Wednesday 19th of August (9 AM - 4 PM)

Jeppe Nørregaard, Causality and intervention
Infer the graph

Thursday 20th of August (9 AM - 5 PM)

Tue Herlau, Reinforcement learning part I
Yael Niv, Reinforcement learning and decision making in the brain

Friday 21st of August (9 AM - 4 PM)

Tue Herlau, Reinforcement learning part II
Claudia Clopath, Learning and memory in the brain

Requirements

General understanding of machine learning, statistical modeling, mathematics and computer science. Programming experience, ideally in Python. For the course you are required to bring your own laptop computer.

Registration

REGISTRATION DEADLINE HAS PASSED. To register please send an email to Wanja Andersen waan@dtu.dk with your CV (maximum 2 pages). The CV has to be received no later than 21st of June. We will notify applicants regarding acceptance to the summer school early July

For academics (masters and PhD students) there is no registration fee for the course. For all other participants a course fee of DKK 8250 will be charged. Participants are to cover all other costs such as food, accommodation, and travel expenses.

Links to previous courses

2019 version of 02901 Advanced Topics in Machine Learning

2018 version of 02901 Advanced Topics in Machine Learning

2017 version of 02901 Advanced Topics in Machine Learning

2016 version of 02901 Advanced Topics in Machine Learning

2015 version of 02901 Advanced Topics in Machine Learning

2014 version of 02901 Advanced Topics in Machine Learning

For further information, please contact:

Professor, Ph.D. Morten Mørup, E-mail: mmor@dtu.dk, Phone: +45 45253900

DTU Compute, Section for Cognitive Systems, Building 321.