Reading group

Next sessions

Latent Variables

 April 2025

12:00 - 13:00 EEST

Exploring the role and significance of latent variables.

learning with uncertainty

 March 2025

12:00 - 13:00 EEST

Machine learning when there is uncertainty, exploring fields such as conformal prediction.

learning with variation

May 2025

12:00 - 13:00 EEST

Machine learning with signals that are not unimodal, as for subjective tasks.

diffusion

February 2025

12:00 - 13:00 EEST

Exploring diffusion processes and their applications in various fields.

Retrieval Augmentation

 June 2025

12:00 - 13:00 EEST

Retrieval augmented generation and classification, exploring clustering, and other fields.

explainability

 July 2025

12:00 - 13:00 EEST

Explainability methods for ML in fields such as NLP and Vision, including self-explanations and counterfactuals.

publications from the group

recent publications

Recent contributions from our research group in machine learning highlight significant advancements and insights:


  • Pavlopoulos et al. (2024): "Revisiting Silhouette Aggregation," awarded Best Paper runner up at the 27th International Conference on Discovery Science in Pisa, Italy. Available as a preprint: arXiv:2401.05831.



These works reflect our group's commitment to advancing the field through empirical research and innovative methodologies.

the AUEB ML group

About ml.cs.aueb.gr

  • Deepening understanding of ML principles by enhancing comprehension of fundamental machine learning concepts and their mathematical underpinnings. 
  • Linking theory to applications by exploring how foundational ML theories are applied to solve complex problems in NLP, vision, and speech.
  • Facilitating scholarly discussion by encouraging critical discussions on recent research papers, fostering a critical analysis of methodologies, results, and implications.
  • Promoting academic collaboration by supporting networking and collaborative research opportunities among students, educators, and researchers.

get in touch

Join our community and enhance your academic journey by engaging with groundbreaking studies and connecting with fellow scientists.

 

group members

directors

John Pavlopoulos

Assistant Professor in Machine Learning

Themos Stafylakis

Associate Professor in Machine Learning

Senior Members

FAQ

The reading group takes place remotely every third Tuesday  of the month, at 11am EEST.

  • Natural Language Processing
  • Computer Vision
  • Speech

Sign up. An invitation will arrive so that you can attend the meetings.

Drop us an email (use the form found on top of this page) and we will add it to the queue. 

Reading group

News

The 15th Greek Stochastics Meeting on Simulation-Based Inference will take place in Folegandros, Greece, from 26 to 29 August 2025. Designed to promote a comprehensive dialogue on current research themes in SBI, the workshop features a dynamic program that includes short courses, a limited number of contributed talks, and poster presentations. The courses will be given by Valentin De Bortoli from Google DeepMind on denoising diffusion models, François-Xavier Briol from University College London on robust and scalable simulation-based inference, Arnaud Doucet from Google DeepMind also on denoising diffusion models, and Jeremias Knoblauch from University College London on post-Bayesian frontiers for simulation.

 Important deadlines for the event are 2 May 2025 for the submission of contributed talks, 16 May 2025 for notification of acceptance, and 4 July 2025 for poster presentation submissions. Organized by a renowned committee from institutions such as University College London, Athens University of Economics and Business, London School of Economics, Imperial College London, University of Warwick, University of Nottingham, and Bocconi University, this workshop promises to be an essential forum for researchers and practitioners in the field.

 Further details can be found on the official meeting website: https://stochastics.gr/meetings/omicron/.