| Section for Cognitive Systems |
| DTU Compute |
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The course consists of five days of lectures, exercises, and presentations. The lectures will cover theoretical and practical aspects of tensor networks for machine learning. Technical aspects, programming and application of the covered concepts will be explored in tutorials and exercises. The course (2.5 ECTS points) passed by handing in a small report covering topics in the course. For further course details click here.
TBA
Monday
Introduction to tensors and tensor networks.
Applications of tensor decompositions to life science data.
Tuesday
Supervised and Reinforcement learning using tensor networks.
Tensor networks for science.
Wednesday
Deep learning and tensor networks.
Thursday
Probabilistic circuits and tensor networks.
Tensor networks, divergences and deformed algebra for probability estimation.
Friday
Information geometry and tensor networks.
Project work and closing remarks.
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.
To registrer please send a CV to kazfu@dtu.dk no later than the 14th of June 2026. Confirmations will be sent out by the 27th of June.
After receiving a positive confirmation on the application, registration in DTUs systems must be carried out. For academics (masters and PhD students) there is no registration fee for the course. Students affiliated with DTU can use the course planner to register. PhD students outside of DTU have register via here. For all other participants a course fee will be charged and apart from signing up additional registration must be completed here.
2025 version of 02901 Advanced Topics in Machine Learning
2024 version of 02901 Advanced Topics in Machine Learning
2023 version of 02901 Advanced Topics in Machine Learning
2022 version of 02901 Advanced Topics in Machine Learning
2021 version of 02901 Advanced Topics in Machine Learning
2020 version of 02901 Advanced Topics in Machine Learning
2019 version of 02901 Advanced Topics in Machine Learning 2018 version of 02901 Advanced Topics in Machine Learning2017 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:
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