First ML-INFN Hackathon

Contribution List

15. Introduction and logistics

Tommaso Boccali (PI)

6/7/21, 9:00 AM

1. What is Machine Learning and why it is relevant to INFN

Daniele Bonacorsi (BO)

6/7/21, 9:20 AM

Introduction

2. Neural Networks: principles and common architectures

Stefano Giagu (ROMA1)

6/7/21, 10:10 AM

Introduction

4. INFN-Cloud, and how to use it for ML_INFN

Daniele Spiga (PG)

6/7/21, 11:30 AM

Introduction

6. Hands-on - Playing with CERN Open Data with numpy, pandas and pyplot

Lucio Anderlini (FI)

6/7/21, 1:45 PM

Hands-on

7. Introduction to keras

Andrea Rizzi (PI), Andrea Rizzi (INFN Pisa)

6/7/21, 3:00 PM

Hands-on

8. Hands-on - Introduction to keras

Andrea Rizzi (INFN Pisa), Andrea Rizzi (PI)

6/7/21, 3:30 PM

Hands-on

11. ML for applications in High Energy Physics

Tommaso Dorigo (PD)

6/8/21, 9:00 AM

9. ML Basics: hands-on on a simple categorization example in HEP

Lucio Anderlini (FI)

6/8/21, 9:30 AM

10. ML for applications in medical physics of INFN interest

Alessandra Retico (PI)

6/8/21, 12:30 PM

12. Discrimination of hadronic jets from light and heavy flavours @ LHC

Tommaso Boccali (PI)

6/9/21, 9:00 AM

Hackathon introduction

13. Autoencoders for VIRGO GW signal analysis

Nunziato Sorrentino (Istituto Nazionale di Fisica Nucleare)

6/9/21, 9:10 AM

Hackathon introduction

14. Classification of lesions in medical physics

Alessandra Retico (PI)

6/9/21, 9:20 AM

Hackathon introduction

16. How to access INFNCloud

Daniele Spiga (PG), Doina Cristina Duma (CNAF)

6/9/21, 4:30 PM

3. Cloud Computing and Cloud-INFN

Introduction

5. Playing with CERN Open Data with numpy, pandas and pyplot

Lucio Anderlini (FI)

Hands-on