International Conference on Machine Learning for Astrophysics – ML4Astro 30 May – 1 Jun

International Conference on Machine Learning for Astrophysics – ML4Astro 30 May – 1 Jun

Bring together researchers actively involved in the fields of machine learning applications to astrophysics use cases is the aim of the International Conference on Machine Learning for Astrophysics – ML4Astro.

In the view of the forthcoming Big Data era for the astronomy community, the conference focuses on challenges coming from the application of ML/DL methods to open problems in astrophysics: novel AI techniques will be presented and  joint discussions on their use with observational data will be fostered.  A special session on the Square Kilometre Array and its precursors/pathfinders is foreseen. 

Participants are invited to submit an abstract for an Oral Presentation or a Poster Presentation on the topics of interest for the conference. Conference Proceedings in Springer book series ASSP are foreseen both for Oral and Poster accepted contributions.

Local organizing committee: CONSORZIO COMETA

When: MAY 30 – JUN 1, 2022

Where: CATANIA, ITALY

Registration:

 Early registration
(by 15 April 2022)
Late Registration
(by 15 May 2022)
In Person participation150 EUR 200 EUR
Students (in person) 80 EUR130 EUR
Virtual participation50 EUR50 EUR

Invoicing and payment will be done in EURO. All registration fees include the proceeding costs. The in person registration includes also the social dinner and the coffee breaks.

Important Dates

10 January 2022 – Registration and Abstract submission open

15 March 2022 – Abstract submission close

20 March 2022 – NEW!! extended abstract submission deadline

From 1 April 2022 – Abstract acceptance notice

15 April 2022 – Preliminary Conference program 

15 April 2022 – Early Registration fee payment close

15 May 2022 – Late Registration fee payment close

30 May – 1 June 2022 Conference dates

15 June 2022 – Proceeding submission open

15 July 2022 – Proceeding submission close

Program in progress…