MLSS - 2025

Universidad Católica San Pablo

Continuing the tradition of Machine Learning Summer Schools, this year’s summer school is going to be held at the Universidad Católica San Pablo, in Arequipa, Perú, from 2-13th August, 2025

News

🏞️ Instructions for the Colca Canyon Tour

Please find below the meeting points and times for each tour option:

Option 1: Trekking to the Deepest Canyon (Sangalle Oasis)

Participants registered for this option must choose one of the following pickup points:

🕒 3:00 AM – Zela Street: Google Maps
🕒 3:20 AM – Hotel Villa Elisa: Google Maps

Option 2: Classic Tour (Non-Trekking)

Participants registered for this option may join the group at one of the following locations:

🕖 7:00 AM – Hotel Villa Elisa: Google Maps
🕖 7:20 AM – Grau Bridge Oval: Google Maps

We recommend being at your chosen meeting point at least 10 minutes early. Please be punctual, as the transportation will depart on time.

Event Resources on GitHub

All event materials will be available in our GitHub repository:
👉 https://github.com/OLMOS-PM/MLSSPeru2025

Speakers

Omar U. Florez

Technical Lead for Pre-Training of LatamGPT National Center of Artificial Intelligence (CENIA), Chile

Tal Linzen

Associate Professor of Linguistics and Data Science at New York University and a Research Scientist at Google

Himanshu Sahni

Research Scientist @ Google Deepmind | Gemini Diffusion

Grigoris Chrysos

Assistant Professor at University of Wisconsin-Madison

Jindong Gu

Senior Research Scientist, Google. Senior Research Fellow, University of Oxford

Yuge Shi

Senior Research Scientist at Google DeepMind

Dhruv Shah

Senior Research Scientist at Google DeepMind

Bianca Dumitrascu

Assistant Professor of Statistics, Columbia University

Finale Doshi-Velez

Herchel Smith Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences

Yarin Gal

Associate Professor, University of Oxford

Mauricio A. Álvarez

Senior Lecturer in Machine Learning, University of Manchester

Francesco Locatello

Assistant Professor, Institute of Science and Technology Austria

Victoria Dean

Assistant Professor, Olin College of Engineering

Abhishek Gupta

Assistant Professor, University of Washington

David Martínez-Rubio

Visiting Professor, Carlos III University of Madrid

Schedule

The lectures would take place throughout the day: two lectures in the morning before lunch and two in the afternoon. On alternate days, the lectures will be followed by practical sessions in the evening.

Social activities will be arranged for some of the evenings.

15:00 - 18:00 - Registration

Accreditation and Welcome Coffee

08:30 – Registration

Accreditation

10:00 – 10:45 – Introductory Words

10:45 – 12:45 – Bayesian Probilistic Theory

Yarin Gal

14:30 – 16:30 – Bayesian Probabilistic Modelling

Yarin Gal

16:45 – 18:45 – Poster Session 1

Scalable Louvain: Distributed Community Detection for Billion-Edge Graphs
Evaluation of Large Language Models via Coupled Token Generation
Joint embeddings of multi-modal data for analyzing brain and cognition
Archetypal Analysis for Explaining Latent Representations of Neural Networks
An exploration of how abstract concepts’ descriptions impact emotion recognition
Normative Modelling for psychopathology prediction
From Text to Space: Mapping Abstract Spatial Models in LLMs during a Navigation Task
TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion
Machine Learning for the early prediction of neurological disorders
Foundation Models for Behavioral Modeling in Clinical Contexts
TACO-PT: Towards Few-Shot RL with Pre-trained Visual Representations
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Logistic Double/Debiased Machine Learning with Applications in Health Economics
Towards Quantitative Autophagy: A Computational Approach to Image-Based Analysis
Exploring Supernova Dust Formation with Deep Learning and Bayesian Inference

08:30 – 10:30 – Bayesian Functions

Yarin Gal

10:45 – 12:45 – Introduction to Gaussian Processes

Mauricio Álvarez

14:30 – 15:30 – Lab session Gaussian Processes

Mauricio Álvarez

15:30 – 16:30 – Uncertainty in LLMs

Yarin Gal

16:45 – 18:45 – Probabilistic modelling of cell types

Bianca Dumitrascu

08:30 – 09:30 – Lab on Gaussian Processes

Mauricio Álvarez

09:30 – 10:30 – Bayesian Optimization

Mauricio Álvarez

10:45 – 11:45 – Bayesian Optimization

Mauricio Álvarez

11:45 – 12:45 – A not so gentle introduction to diffusion models

Yuge Shi

14:30 – 16:30 – What do we gain from nonlinearity and multi-modal representations

Bianca Dumitrascu

16:45 – 17:15 – Efficient Pretraining of Large Language Models (LLMs)

Omar U. Florez

Free time: visit to the Monastery of Santa Catalina (optional)

🏛️ Santa Catalina Monastery – Arequipa

The Santa Catalina Monastery, founded in 1579, is one of the most iconic and fascinating religious monuments in Arequipa. This citadel, covering over 20,000 m² and built from volcanic sillar stone, features narrow streets, cloisters, cells, and gardens that reflect the secluded life of Dominican nuns over several centuries. Its colonial architecture and serene atmosphere make it a must-visit site for anyone interested in the religious and cultural history of southern Peru.

🕯️ On Tuesdays, evening visits are available until 7:30 PM, offering a special opportunity to explore the monastery under soft lighting that highlights its unique charm and mystique.

📌 Note: A time slot has been left open in the schedule so that those interested can visit the monastery independently during the evening hours.

09:30 – 10:30 – Diffusion Language Models

Himanshu Sahni

10:45 – 12:45 – Intro Reinforcement Learning

Finale Doshi-Velez

14:30 – 16:30 – Dealing with Space and, if time, with Time

Bianca Dumitrascu

16:45 – 18:45 – Dealing with Space and, if time, with Time

Bianca Dumitrascu

08:30 – 10:30 – xAI

Finale Doshi-Velez

10:45 – 12:45 – xAI: Comp. Properties & metriscs. Interactive Session

Finale Doshi-Velez

14:30 – 16:30 – Fairness, AI in Society

Victoria Dean

Online sesion, link: https://us06web.zoom.us/j/84928479710?pwd=xmFGJ1ICZ2ze3SmBLmexrsrzOLGZse.1

16:45 – 18:45 – Poster Session 2

Identifying metric structures of deep latent variable models
Linear Subspace Low-Rank Approximation via Manifold Optimization for Efficient Neural Networks
PAC-Bayesian Reconstruction Guarantees for Variational Autoencoders
Deep Learning Segmentation of A-Lines in Lung Ultrasound for Rural Healthcare Screening
Signatures for time series forecasting
Classification of Coastal Peruvian Rice Fields and Yield Prediction Using Sentinel‐2 Imagery and Machine Learning Algorithms
Temporal Video Segmentation Approach for Peruvian Sign Language
Interpretable Machine Learning for Weakly Labeled Data: Estimating Monk Parakeet Presence
ALTERNATIVE NON-DESTRUCTIVE APPROACH FOR ESTIMATING MORPHOMETRIC MEASUREMENTS OF CHICKEN EGGS FROM TOMOGRAPHIC IMAGES WITH COMPUTER VISION
Samuel Rudolf Gunz
Tim Kreuzer
Josué Pérez Sabater
Danitza Yvette Bermejo Escobar
Mohsen Amiri
ELENI STRAITOURI
Brüning Puelles Frederic Modesto
María Cristina Orihuela Flores

08:30 – 10:30 – Optimization and Online Learning

David Martínez-Rubio

10:45 – 12:45 – xAI: user focused metrics for interpretability

Finale Doshi-Velez

14:30 – 16:30 – Optimization and Online Learning

David Martínez-Rubio

16:45 – 18:45 – Interactive Session

Finale Doshi-Velez

03:00 – Travel to Colca Canyon

This activity is not included in the event’s registration fee. It will be organized by a local tour operator, and participants may choose between the following two options:

08:30 – 10:30 – Introduction to language models

Tal Linzen

10:45 – 12:45 – Robustness in Deep learning

Grigoris Chrysos

Online sesion. Link: https://us06web.zoom.us/j/85348603296?pwd=IG5XZCpQgKlb3Iiq6soU4PCYhZb6Rp.1.

14:30 – 16:30 – Imitation and Offline Reinforcement Learning

Abhishek Gupta

16:45 – 18:45 – Inverse Reinforcement Learning

Abhishek Gupta

19:00 – 21:00 - Networking Cocktail for Event Attendees

Join us for an informal gathering where participants can connect, exchange ideas, and build professional relationships in a relaxed setting. Beverages and appetizers will be served.

09:00 – 10:30 – Causality - Fundamentals

Francesco Locatello

10:45 – 12:45 – Language models: evaluation and analysis

Tal Linzen

14:30 – 16:30 – Introduction to Robot Learning

Dhruv Shah

16:45 – 18:45 – Large-Scale Robot Learning with Foundation Models

Dhruv Shah

08:30 – 10:30 – Responsible Generative AI: Ensuring Safety in Textual and Visual Generation

Jindong Gu

Online sesion. Link: https://us06web.zoom.us/j/85233248482?pwd=Jb8wYF8JGauX7GKSWjg7Fzkx3HYuqx.1

10:45 – 12:45 – Causality

Francesco Locatello

14:30 – 16:30 – Causality - Inference, Discovery, Representation

Francesco Locatello

16:45 – 18:45 – Towards trustworthy foundation models with privacy

Grigoris Chrysos

Online sesion. Link: https://us06web.zoom.us/j/86237583843?pwd=aPDliTfa9sLcx5sbuRijMHg3FCJsoE.1

Closing

Location

The summer school will be held at the Universidad Católica San Pablo, in Arequipa, Perú.

Hotel & Travel

Hotel Boutique Villa Elisa, 1st choice of the MLSS 2025.

Organizers

Pablo Martinez Olmos

Associate Professor, Signal Processing Group (GTS), Universidad Carlos III de Madrid

Mariano Gabitto

Assistant Investigator - Allen Institute, University of Washington

Fernando Pérez Cruz

Sr. Advisor, Innovation @ BIS. Professor ETH Zürich. (fmr Chief Data Scientist at SDSC)

Efraín Mayhua López

Director of the Professional School of Electronic and Telecommunications Engineering, Universidad Católica San Pablo.

Irvin Franco Benito Dongo Escalante

Director of the Center for Research and Innovation in Electronics and Telecommunications, Universidad Católica San Pablo.

Antonio Artés-Rodríguez

Professor, Dept. of Signal Theory and Communications, Universidad Carlos III de Madrid

Jean-Louis GELOT

GeoInnovacion

FAQ

When can I apply?

The application system is now open. See the applications page for more information on the process, and other important dates.

How should I arrange accommodation?

See the page describing the local arrangements.

What is the poster session?

Posters are a long-standing tradition at the MLSS. Each applicant is asked to bring along a poster presentation covering some of their own work. This does not need to be published work (ongoing work, or work resulting from undergraduate projects is also fine, were applicable). While the day program covers broad areas of general interest, the poster sessions offer participants a chance to discuss their own work with their peers. The poster presentations will be a relaxed affair: Posters will be distributed across a room, with participants presenting to small groups of two or three standing in front of their posters.

Are there any Travel Grants or Scholarships for attending the Summer School?

There is a section of the application form which will allow you to state whether you need financial assistance and how much. You should use the Supplement box to add additional details about your circumstances. Your letter of reference should also mention that you need financial aid.

I am not affiliated with any university or company currently. Can I still apply?

Please write “None” in the affiliation field and provide additional details in the Supplement box. You will still need to provide a letter of reference.

Is it possible to receive a refund for the registration fee if I am unable to attend the Summer School?

Yes, a refund may be granted if a valid reason is provided, such as medical issues or unforeseen personal situations. Requests for refunds must be submitted at least one month before the event. Unfortunately, after this deadline, we won’t be able to issue a refund due to expenses already committed.

MLSS - 2025

Universidad Católica San Pablo

News

🏞️ Instructions for the Colca Canyon Tour

Option 1: Trekking to the Deepest Canyon (Sangalle Oasis)

Option 2: Classic Tour (Non-Trekking)

Event Resources on GitHub

Speakers

Omar U. Florez

Tal Linzen

Himanshu Sahni

Grigoris Chrysos

Jindong Gu

Yuge Shi

Dhruv Shah

Bianca Dumitrascu

Finale Doshi-Velez

Yarin Gal

Mauricio A. Álvarez

Francesco Locatello

Victoria Dean

Abhishek Gupta

David Martínez-Rubio

Schedule

🏛️ Santa Catalina Monastery – Arequipa

Location

Hotel & Travel

Organizers

Pablo Martinez Olmos

Mariano Gabitto

Fernando Pérez Cruz

Efraín Mayhua López

Irvin Franco Benito Dongo Escalante

Antonio Artés-Rodríguez

Jean-Louis GELOT

FAQ

Sponsors

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