Practical 2025

Practicals 2025

Practicals will take place at the end of the day on Monday, Tuesday and Wednesday.
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
    • 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)