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4 papers

math.OC2026

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach

Srećko ĐuraÅ¡inović, Srećko Đurašinović, Jean-Bernard Lasserre +1

Mixture models, such as Gaussian mixture models, are widely used in machine learning to represent complex data distributions. A key challenge, especially in high-dimensional settin…

cs.LG2026

Detection and Evaluation of Clusters within Sequential Data

Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella +1

Sequential data is ubiquitous -- it is routinely gathered to gain insights into complex processes such as behavioral, biological, or physical processes. Challengingly, such data no…

cs.CG2026

Hierarchical Rectangle Packing Solved by Multi-Level Recursive Logic-based Benders Decomposition

Josef Grus, Zdeněk Hanzálek, Christian Artigues +2

We study the two-dimensional hierarchical rectangle packing problem, motivated by applications in analog integrated circuit layout, facility layout, and logistics. Unlike classical…

cs.RO2026

Coupled Local and Global World Models for Efficient First Order RL

Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard +1

World models offer a promising avenue for more faithfully capturing complex dynamics, including contacts and non-rigidity, as well as complex sensory information, such as visual pe…