Machine Learning for Particle and Astroparticle Physics ML4HEP - 2024

Schedule

Preschool Schedule (10 – 22 June, 2024)

Date Topic (Time 11:00 - 12:30) Speaker Topic (Time 16:00 - 17:30) Speaker
10/06 Python
Attachments  		S. Sarkar Python
Attachments  		S. Sarkar
11/06 Python
Attachments  		S. Sarkar Python
Attachments 		 S. Sarkar
12/06 Python
Attachments 		 S. Sarkar Python
Attachments 		 S. Sarkar
13/06 Statistics
Attachments  		A. Nayak PyROOT / uproot
Attachments  		A. Purohit
14/06 Statistics
Attachments  		A. Nayak PyROOT / uproot
Attachments  		A. Purohit
15/06 Statistics
Attachments 		 A. Nayak PyROOT / uproot
Attachments 		 A. Purohit
16/06 Sunday - - -
17/06 Basics of ML / Deep Learning
Attachments 		 Swagata TensorFlow/ Keras (Help in installation etc..)
Attachments 		 Vishal / Deepanshu
18/06 CNN
Attachments 		 Partha / Swagata TensorFlow/ Keras (Tutorial DNN?)
Attachments 		 Vishal
19/06 CNN
Attachments  		Partha / Swagata CNN Tutorial
Attachments  		Ritesh
20/06 - - ANN / CNN Tutorial (Extended Session)
Attachments 		 Partha / Deepanshu
21/06 - - PyTorch (Extended Session)
Attachments 		 Sanmay

Main School / Workshop (01 - 13 July)

09:30 - 11:00 11:30 - 13:00 14:30 - 16:00 16:30 - 18:00 18:15 - 19:30
Date Topic / Speaker Topic / Speaker Topic / Speaker Topic / Speaker Colloquium / Seminar Speaker
01/07

Inauguration by the Director ( 09:30 - 10:00 )
Statistics.
Satyaki / Shilpi		 Statistics Tutorial.
Satyaki / Shilpi		 Inductive Biases.
Vishal		 Inductive Biases.
Vishal		 -
02/07 Statistics.
Satyaki / Shilpi		 Statistics Tutorial.
Satyaki / Shilpi		 GNN.
Sanmay		 GNN.
Sanmay		 -
03/07 Statistics.
Satyaki / Shilpi		 Statistics Tutorial.
Satyaki / Shilpi/ Anil		 GNN.
Sanmay		 GNN.
Sanmay		 -
04/07 Generative models.
Swagata		 Generative models.
Swagata		 GNN / Transformer.
Sanmay		 GNN / Transformer.
Sanmay		 -
05/07 Generative models.
Swagata		 Sequence models.
Swagata		 Heterograph / Hypergraph.
Sanmay		 Heterograph / Hypergraph.
Sanmay		 -
06/07 Sequence models.
Swagata		 Sequence models.
Swagata		 Flow-based and diffusion models.
Swagata / Shamik?		 Flow-based and diffusion models.
Swagata / Shamik?		 -
07/07 Sunday - - - -
08/07 Unsupervised Learning using Maps.
Amit		 Unsupervised Learning using Maps.
Amit		 SVM.
Rajdeep		 SVM.
Rajdeep		 -
09/07 Anomaly Detection.
Tanmay		 Anomaly Detection.
Tanmay		 SVM Tutorial Rajdeep (can be condensed with the first two lectures if we want room for Quantum) TBD -
10/07 Workshop Workshop Workshop Workshop -
11/07 Workshop Workshop Workshop Workshop -
12/07 Workshop Workshop Workshop Workshop -
13/07 Workshop Workshop Workshop Workshop -
Possible Topics and Speakers:

  1. Statistics : Satyaki Bhattacharya, Shilpi Jain, A Nayak

  2. Sequence models, Generative models: Swagata Mukherjee

  3. Anomaly detection: Tanmay Modak

  4. GNN and Transformers: Sanmay Ganguly

  5. Interplay between inductive biases and high energy physics: Vishal Ngairangbam

  6. SVM, Quantum ML(TBD), HGCAL beam test analysis for the workshop?, .... : Rajdeep Chatterjee

  7. Unsupervised Learning using Maps: Amit Chakraborty