Home /  Summer Graduate School /  Schedule

Schedule, Notes/Handouts & Videos

ICTP-INdAM-SLMath Summer Graduate School for Machine Learning (Trieste, Italy) June 15, 2026 - June 26, 2026

Show All Collapse
Jun 15, 2026
Monday
08:30 AM - 09:30 AM
  Registration and administrative formalities
09:30 AM - 11:00 AM
  Statistical physics approach to high-dimensional learning problems - session 1
Francesca Mignacco (Princeton University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Davide Ghio (University of Aston)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Statistical physics approach to high-dimensional learning problems - session 2
Francesca Mignacco (Princeton University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Davide Ghio (University of Aston)
Jun 16, 2026
Tuesday
09:30 AM - 11:00 AM
  Statistical physics approach to high-dimensional learning problems - session 3
Francesca Mignacco (Princeton University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Davide Ghio (University of Aston)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Statistical physics approach to high-dimensional learning problems - session 4
Francesca Mignacco (Princeton University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Davide Ghio (University of Aston)
Jun 17, 2026
Wednesday
09:30 AM - 11:00 AM
  Statistical physics approach to high-dimensional learning problems - session 5
Francesca Mignacco (Princeton University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Davide Ghio (University of Aston)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Statistical physics approach to high-dimensional learning problems - session 6
Francesca Mignacco (Princeton University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Davide Ghio (University of Aston)
06:00 PM - 07:00 PM
  Poster Session
Jun 18, 2026
Thursday
09:30 AM - 11:00 AM
  Statistical physics approach to high-dimensional learning problems - session 7
Francesca Mignacco (Princeton University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Davide Ghio (University of Aston)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Statistical physics approach to high-dimensional learning problems - session 8
Francesca Mignacco (Princeton University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Davide Ghio (University of Aston)
Jun 19, 2026
Friday
09:30 AM - 11:00 AM
  Statistical physics approach to high-dimensional learning problems - session 9
Francesca Mignacco (Princeton University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Davide Ghio (University of Aston)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Statistical physics approach to high-dimensional learning problems - session 10
Francesca Mignacco (Princeton University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Jun 22, 2026
Monday
09:30 AM - 11:00 AM
  Rigorous approaches to modern machine learning - session 1
Andrea Montanari (Stanford University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Basil Saeed (Stanford University)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Rigorous approaches to modern machine learning - session 2
Andrea Montanari (Stanford University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Basil Saeed (Stanford University)
Jun 23, 2026
Tuesday
09:30 AM - 11:00 AM
  Rigorous approaches to modern machine learning - session 3
Andrea Montanari (Stanford University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Basil Saeed (Stanford University)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Rigorous approaches to modern machine learning - session 4
Andrea Montanari (Stanford University)
04:00 PM - 04:30 PM
  Coffee break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Basil Saeed (Stanford University)
Jun 24, 2026
Wednesday
09:30 AM - 11:00 AM
  Rigorous approaches to modern machine learning - session 5
Andrea Montanari (Stanford University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Basil Saeed (Stanford University)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Rigorous approaches to modern machine learning - session 6
Andrea Montanari (Stanford University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Basil Saeed (Stanford University)
Jun 25, 2026
Thursday
09:30 AM - 11:00 AM
  Rigorous approaches to modern machine learning - session 7
Andrea Montanari (Stanford University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Basil Saeed (Stanford University)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Rigorous approaches to modern machine learning - session 8
Andrea Montanari (Stanford University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Basil Saeed (Stanford University)
Jun 26, 2026
Friday
09:30 AM - 11:00 AM
  Rigorous approaches to modern machine learning - session 9
Andrea Montanari (Stanford University)
11:00 AM - 11:30 AM
  Coffee Break
11:30 AM - 01:00 PM
  Problem Session lead by lecturers and teaching assistants
Basil Saeed (Stanford University)
01:00 PM - 02:30 PM
  Lunch
02:30 PM - 04:00 PM
  Rigorous approaches to modern machine learning - session 10
Andrea Montanari (Stanford University)
04:00 PM - 04:30 PM
  Coffee Break
04:30 PM - 06:00 PM
  Problem Session lead by TAs and lecturers
Basil Saeed (Stanford University)
Back to Summer Graduate School