Schedule

Schedule#

The following schedule corresponds to the 2026 AI4Fusion Summer School.

Time

June 1 (Monday)

June 2 (Tuesday)

June 3 (Wednesday)

June 4 (Thursday)

June 5 (Friday)

June 8 (Monday)

June 9 (Tuesday)

June 10 (Wednesday)

June 11 (Thursday)

June 12 (Friday)

8:30

Registration

9:00

1. Preflight: 1. matrix operations; 2. Linear Regression (OLS) (80’)

Introduction to DL:
1. Preflight - calculus, chain rule
2. Gradient Descent

Decision Trees
XGBoost

Convolutional Neural Networks

Generative AI
Likelihood-based Learning

Introduction to Transformers

Introduction to Vision Transformers

Introduction to Bayesian Methods

Bayesian Deep Learning

Student Work Session / Additional Material
(Time permitting)

10:20

Coffee Break (30’)

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

10:50

Linear Classifiers
(Perceptron, Adaline)
Historical approach (80’)

Optimizing Networks through GD:
1. GD, SGD, Mini-batch SGD
2. Optimizers
3. Regularization
4. Schedulers

1. Pytorch Fundamentals;
2. Classification with Neural Networks (binary);
3. Multiclass approaches;
4. Implement binary classifier in pytorch
(CMOD data)

Graph Neural Networks

Generative AI
Towards Likelihood-free Learning

Intro to LLM
(Prof. Jindong Wang)

Implementing a Basic Vision Transformer

Bayesian Regression
Gaussian Process

Advanced Bayesian DL
(Hands On)

Student Work Session / Additional Material
(Time permitting)

12:10

Lunch (80’)

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

13:30

Getting setup with SW/HW (60’)

Tokamak Operations: Pegasus
(Steffi Diem)

Tokamak Measurements
(Eva Kostadinova)

Tokamak MHD stability: Disruption
(Cristina Rea, Alex Saperstein)

Tokamak MHD stability: ELMs
(Saskia Mordijck)

Collaborative research projects
(Nick Murphy)

Tutorial MAST/MAST-U
(Larisa Dorman-Gajic)

Digilab: Equilibrium reconstruction uncertainty
(Dan Greenhouse)

Student Work Session

Group presentations

14:30

Coffee Break (30’)

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

Coffee Break

15:00

(15:00-16:00) Short Tour

(16:00-17:00) General introduction: Fusion and Magnetic Confinement
(Saskia Mordijck)

(15:00-16:00) Introduction to fusion dataset
(Alex Saperstein)

(16:00-17:00) Toy Regression Problem

Regression with Pytorch
(CMOD Data)

MNIST Classification
GCN on MNIST Superpixels

Generative AI
GlueX BCAL Example

Student Work Session

Student Work Session

Hands-on
(Digilab: Dan Greenhouse)

Student Work Session

Group presentations

17:00

Welcome Reception

AI4Fusion Social

AI4Fusion Social

Closing remarks