Author

M. Gazzola

2 papers indexed here

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#machine learning Mar 2026

Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems

It is shown that deterministic neural network surrogates, equipped with feature tokenization and adaptive output normalization, match or exceed Gaussian process accuracy, while scaling to high-dimensional output spaces and training on all data including infeasible samples.

Frithjof Gressmann, Ivan Georgiev Raikov, Seung Hyun Kim et al. · arXiv.org · 0 citations

#machine learning Preprint Sep 2026

Diverse and Adaptable Arm Coordination for Octopus-Crawling via Diffusion-Based Uncertainty-Aware Optimization

A Diffusion-based Uncertainty-aware Optimization (DUO) algorithm that learns demonstration-free crawling controllers for a simulated, muscle-actuated CyberOctopus, which represents the first application of diffusion-based control to soft multi-arm robots in contact-rich simulations.

Seung Hyun Kim, Heng-Sheng Chang, Kimia Kazemi et al. · 1 citation