Conference

Conference on Parsimony and Learning (CPAL)

The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on addressing the parsimonious, low-dimensional structures that prevail in machine learning, signal processing, optimization, and beyond.

The conference is jointly organised by the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems.

They are interested in theories, algorithms, applications, hardware, and systems, as well as scientific foundations for learning with parsimony. They envision the conference as a general scientific forum where researchers in machine learning, applied mathematics, signal processing, optimization, intelligent systems, and all associated science and engineering fields can gather, share insights, and ultimately work towards a common modern theoretical and computational framework for understanding intelligence and science from the perspective of parsimonious learning.

❗There is a call for paper submissions right now.

For details, please also see: https://cpal.cc/

ELLIS Edge Newsletter
Join the 6,000+ people who get the monthly newsletter filled with the latest news, jobs, events and insights from the ELLIS Network.