Anomaly detection is a challenging problem which can greatly benefit from the use of machine learning (ML) methods: unsupervised as well as semi-supervised. ML algorithms must be able to process complex, massive data sets and search for anomalies under extreme conditions (very low signal-to-noise ratio, real-time data, etc). The range of applications for anomaly detection methods is vast, and advances made in one scientific field can frequently be transferred to other disciplines, to the benefit of both parties involved.
This event brings together scientists from a range of scientific fields including computer science, statistics, particle physics and astrophysics, as well as cross-cutting areas such as the development of anomaly detection algorithms, medical image analysis, accelerator physics, and others. The goal of this workshop is to start a dialogue between different experts, fostering a collaborative environment where experiences, knowledge, and methodologies can be shared.
The workshop will explore topics related to, but not limited to:
- Novel machine learning algorithms for anomaly detection
- Statistical techniques for detecting rare events
- Anomaly detection for discovery of new phenomena in physics
- Unveiling anomalies in astrophysical observations
- Real-time anomaly detection in data streams and data acquisition
- Integration of domain knowledge with machine learning approaches
- Transverse applications including detectors, medicine, biology
Introductory presentations by leading experts of each topic will be followed by contributed presentations during the workshop.
Abstracts submissions are welcome until 15 January 2024.
The workshop will take place in Clermont-Ferrand at the Casino de Royat.
Registration is free (but mandatory) and will be limited to 75 on-site participants. Talks are expected to be given in person and remote participation is not possible.
Social activities are also scheduled during the week.
Important dates:
16 October – First announcement
6 November – Second announcement, open registration and abstract submission
15 January – Deadline for abstract submission
5 February – Deadline for registration
12 February – Third announcement, program release
4-7 March – Workshop
This event is part of the AISSAI semester, held during 2023/2024.
