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401-3620-75L 4 Credits MSC , BSC D-INFK , D-MATH , D-ITET

Student Seminar in Statistics: Representation Learning

Lecturers & Examiners: Prof. Dr. Peter L. Bühlmann, Dr. Julius von Kügelgen
Number of participants limited to 72.
VVZ CR n/a

Last Updated: 2026-07-21 00:36:49

Abstract

The goal of this seminar is for students to learn about different aspects and use cases of representation learning, as well as to gain experience in reading, presenting, and critically discussing research articles.

Objective

The goal of this seminar is for students to learn about different aspects and use cases of representation learning, as well as to gain experience in reading, presenting, and critically discussing research articles.

Content

Topics that we will touch upon include deep learning, autoencoders, disentanglement, independent component analysis (ICA), identifiability, contrastive and self-supervised learning, causality, and applications in computational biology.

General Information

Language
English
Levels
MSC , BSC
Frequency
Semesterly recurring

Examination

Type
ungraded semester performance

Registration & Places

Limited places (Special selection)
Signup End
30.08.2026

Course Components

Type Title Time & Place Hours
seminar Student Seminar in Statistics: Representation Learning
Groups are selected in myStudies. Number of participants limited to 72. The seminar is offered in two groups.
No time listed 2 h weekly

Offered In

  • Mathematics Bachelor
    • Seminars and Semester Papers
      • Seminars (Seminar placement is determined by waiting lists and is not on a first-come, first-served basis. You can add yourself directly to the waiting list for your preferred seminar via myStudies.. We recommend that you specify a second and third priority using the placeholder course “Generic Seminar – Second Priority / Third Priority.” Please register for your desired waiting list(s) by Sunday, August 2, 2026, if possible, as the selection process begins shortly thereafter.)
  • Mathematics Master
    • Seminars and Semester Papers
      • Seminars (Seminar placement is determined by waiting lists and is not on a first-come, first-served basis. You can add yourself directly to the waiting list for your preferred seminar via myStudies.. We recommend that you specify a second and third priority using the placeholder course “Generic Seminar – Second Priority / Third Priority.” Please register for your desired waiting list(s) by Sunday, August 2, 2026, if possible, as the selection process begins shortly thereafter.)
  • Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
  • Data Science Master