CFP summary
CPAL is an annual research conference centered on parsimonious and low-dimensional structure in modern learning systems. The conference brings together work on theory, algorithms, applications, hardware, and scientific foundations for learning with parsimony, with strong links to machine learning, signal processing, and optimization. The 2026 edition is the third CPAL conference and is hosted in Tübingen by leading local AI and intelligent systems institutions.
Topics
Parsimony and low-dimensional structure in machine learning; signal processing; optimization; theories and algorithms for sparse and efficient learning; applications; hardware and systems; scientific foundations for learning with parsimony; proceedings track, spotlight track, tutorials, and rising stars program.