Practical 2025

Practicals 2025

Practicals will take place at the end of the day on Monday, Tuesday and Wednesday. Rooms to be announced.
Participants are kindly requested to bring laptops or tablets (ideally with a keyboard), or find a teammate with whom to share! 🙂
The material for the practicals will be available at https://github.com/khipu-ai/practicals-2025.

Practical 1 / Monday 16:00

Topics:

  • Intro to Machine Learning with Jax.
    • Lecturers: Anian Ruoss, Lucia Lopez
    • Room PC2 FACEA (2nd floor, same building as main venue)
  • Foundations of LLMs.
    • Lecturers: Mai Giménez, Julian Eisenschlos
    • Room K203 Ingenieria (5 minute walk from venue, 2nd Floor)
  • Machine Learning for Geospatial Science.
    • Lecturer: Álvaro Paredes
    • Room PC1 FACEA (2nd floor, same building as main venue)
Check here for directions to room K203.

Practical 2 / Tuesday 17:30

Topics:

  • Graph Neural Networks
    • Lecturers: Daniel Worrall, Petar Veličković, Tatiana López
    • [UPDATED] Room K202 Ingenieria (5 minute walk from venue, 2nd Floor) 
  • Socio Cultural Evaluation of AI
    • Lecturers: Marcos Gómez, Pietro Palombini, Luciana Benotti, Sunipa Dev, Vinodkumar Prabhakaran
    • Room PC2 FACEA (2nd floor, same building as main venue)
  • Vision-Language Models
    • Lecturers: Anastasija Ilić, Ioana Bica
    • Room K203 Ingenieria (5 minute walk from venue, 2nd Floor)

Practical 3 / Wednesday 17:30

Topics:

  • Diffusion Models
    • Lecturers: Zhengdong Wang, José Lezama
    • Room PC2 FACEA (2nd floor, same building as main venue)
  • Resource-efficient NLP
    • Lecturers: Lucia Lopez, Anian Ruoss, Rudy Corona
    • Room PC1 FACEA (2nd floor, same building as main venue)
  • Reinforcement Learning
    • Lecturers: Tom Erez, Pablo Samuel Castro, Tatiana López, Johan Obando-Ceron
    • Room E10 Civil Construction (5 minute walk from venue, see below)