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Advanced School in Applied Machine Learning

Uncertainty and Robustness of Deep Learning Models for Science

Official teaching-material repository for SMR 4228, held at the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste, Italy, from 23 to 31 July 2026.

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This repository contains lecture materials, hands-on tutorials, notebooks, and technical instructions for running machine-learning workflows on the Leonardo supercomputer.

Repository Structure

Path Description
Day-1/ Day 1 tutorials and lecture materials
Day-2/Tutorial/EfficientUQ/ Materials for Efficient and Scalable Uncertainty Quantification in SciML
accessing_Leonardo/ Instructions for accessing the HPC cluster Leonardo at CINECA
testing-Jupyter/ Conda setup, Jupyter launch scripts, and environment tests

Lecturers

  • J. Carnerero Cano, IBM Research, Ireland
  • D. Coscia, SISSA, Italy
  • C. De Nobili, Critiqality, Italy
  • J. Gonzalez Abad, Instituto de Física de Cantabria (IFCA), Spain
  • Eiman Kanjo, NTU
  • V. Janapa-Reddi, Harvard University
  • K. Karchev, University of Barcelona, Spain
  • F. Lanusse, CNRS, France
  • P. Mukhopadhyay, Cambridge, UK
  • M. E. Olmo, Barcelona Supercomputing Center, Spain
  • G. Rozza, SISSA, Italy
  • A. J. Scaffidi, SISSA, Italy
  • J. S. Shawe-Taylor, University College London, UK
  • H. Strobelt, IBM Research, USA

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This is the official repo for the Advanced School in Applied Machine Learning: Uncertainty and Robustness of DL Models for Science (smr 4228)

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