Analytic Sensing For Multi-Layer Spherical Models With Application To EEG Source Imaging

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We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observed to have a prominent role. Structured prediction is a form of supervised le ...

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We derive a dynamical field theory for self-propelled particles subjected to generic torques and forces by explicitly coarse-graining their microscopic dynamics, described by a many-body Fokker-Planck equation. The model includes both intrinsic torques ind ...

Analytic Sensing For Multi-Layer Spherical Models With Application To EEG Source Imaging

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