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cs.LG2026
Liquid Networks with Mixture Density Heads for Efficient Imitation Learning
Nikolaus Correll
We compare liquid neural networks with mixture density heads against diffusion policies on Push-T, RoboMimic Can, and PointMaze under a shared-backbone comparison protocol that iso…
cs.LG2016★ 5 cited
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
Dana Hughes, Nikolaus Correll
This paper reviews machine learning applications and approaches to detection, classification and control of intelligent materials and structures with embedded distributed computati…