alessimichele / adv-ml-units

Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)

Advanced Topics in Machine Learning 2023

Elective course for the Data Science and Scientific Computing M.Sc. programme @ University of Trieste

Lecturer: Fabio Anselmi (email: [e-mail] | webpage)

Labs:

• Lab 1: Kernels and features (solved)

• Lab 2: Kernelized machine learning (solved)

• Lab 3: Deep Learning with PyTorch (not an actual exercise notebook; already "solved"!)

• Lab 4a: Effect of data augmentation on learned weights (solved)

• Lab 4b: Invariance in a shallow FCN under data augmentation (solved)

• Lab 5: Invariance and Equivariance in a CNN (solved)

• Lab 6: The Hubel-Wiesel model for cortical networks (solved)

• Lab 7: Deep sets and permutation equivariance (solved)

• Lab 8: Implicit bias of gradient descent in linear regression (solved)

Challenges:

• Challenge 1: An analytical perambulation around FashionMNIST
  (Update: an important notice about kPCA on FashionMNIST has been published!)

• Challenge 2: Discovering Symmetries in Data

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Please, fill the (very short) Final Projects form as soon as possible, to receive early feedback on the exam project! Thanks!