Call for Participation: IEEE MLSP 2024 - London, UK, 22-25 Sep 2024

IEEE MLSP 2024

September 22-25, 2024, London, UK

On behalf of the organizing committee, it is our great pleasure to invite you to the 34th IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2024), which is held from September 22 to 25, 2024, in London, United Kingdom.

The IEEE MLSP is the oldest and most respected technical event sponsored by the MLSP Technical Committee of the IEEE Signal Processing Society. Its primary objective is to bring together leading experts, researchers, and industry professionals to explore the latest advancements, challenges, and opportunities in machine learning (ML) for signal processing. The IEEE MLSP 2024 will also examine the potential applications of ML-driven signal processing techniques, such as those in wireless communications.

IEEE MLSP 2024 features six captivating and timely keynote talks delivered by world-leading scholars from reputed universities and companies. In addition, the workshop will include four tutorial sessions, two industry panels, and several lecture and poster sessions led by experts in various areas of machine learning and signal processing.

More details can be found on https://2024.ieeemlsp.org/.

Register before 24th August to get a discounted early registration rate!

Confirmed Keynote talks:

  • Georgios B. Giannakis - Learning from Unreliable Labels via Crowdsourcing
  • Yuejie Chi - Provable Plug-and-Play Diffusion Posterior Sampling for Inverse Problems
  • Venu Veeravalli - Out-of-Distribution Detection via Multiple Testing
  • Wen Tong - A Revisit of Nine Challenges in Artificial Intelligence and Wireless Communications

Confirmed Tutorials:

  • Laetitia Chapel & Felipe Tobar - Optimal Transport for Signal Processing
  • Tianyi Chen - Navigating Multi-Objective Learning in Signal Processing: From Theory to Practice
  • Angelo Coluccia - Bridging hypothesis testing and machine learning for binary decision problems
  • Andrea Tonello - Generative and Discriminative Signal Learning Models for Physical Layer Communication Challenges

We look forward to welcoming you to London for an engaging and enriching IEEE MLSP 2024 workshop.

Sincerely,

Geoffrey Ye Li and Danilo Mandic
General Chairs of IEEE MLSP 2024