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 |
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 | Attachments |
01/07 | Inauguration by the Director ( 09:30 - 10:00 ) |
|||||
Statistics. Satyaki / Shilpi |
Statistics Tutorial. Satyaki / Shilpi |
Inductive Biases. Vishal |
Inductive Biases. Vishal |
- | Day-01 | |
02/07 | Statistics. Satyaki / Shilpi |
Statistics Tutorial. Satyaki / Shilpi |
GNN. Sanmay |
GNN. Sanmay |
- | Day-02 Sanmay |
03/07 | Statistics. Satyaki / Shilpi |
Statistics Tutorial. Satyaki / Shilpi/ Anil |
GNN. Sanmay |
GNN. Sanmay |
- | Day-03 Sanmay |
04/07 | Generative models. Swagata |
Generative models. Swagata |
GNN / Transformer. Sanmay |
GNN / Transformer. Sanmay |
- | Day-04 Sanmay |
05/07 | Generative models. Swagata |
Sequence models. Swagata |
Heterograph / Hypergraph. Sanmay |
Heterograph / Hypergraph. Sanmay |
- | Day-05 Sanmay |
06/07 | Sequence models. Swagata |
Sequence models. Swagata |
Normalising Flow. Vishal Ngairangbam |
Quantum Machine learning. Vishal Ngairangbam |
- | Day-06 |
07/07 | Sunday | - | - | - | - | - |
08/07 | Unsupervised Learning using Maps. Amit |
Unsupervised Learning using Maps. Amit |
SVM. Rajdeep |
SVM. Rajdeep |
- | Day-07 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 | - | Day-08 |
10/07 | Moon Moon Devi | Workshop | Open MPI. R.Thiru Senthil |
Open MPI. R.Thiru Senthil |
- | Day-09 Project List |
11/07 | Workshop | Workshop | Workshop | Workshop | - | Day-10 |
12/07 | Workshop | Workshop | Open MPI. R.Thiru Senthil |
Open MPI. R.Thiru Senthil |
- | Day-11 |
13/07 | Workshop | Workshop | Workshop | Workshop | - | Day-12 |
Statistics : Satyaki Bhattacharya, Shilpi Jain, A Nayak
Sequence models, Generative models: Swagata Mukherjee
Anomaly detection: Tanmay Modak
GNN and Transformers: Sanmay Ganguly
Interplay between inductive biases and high energy physics: Vishal Ngairangbam
SVM, Quantum ML(TBD), HGCAL beam test analysis for the workshop?, .... : Rajdeep Chatterjee
Unsupervised Learning using Maps: Amit Chakraborty