4 papers · 1 filter
Tensor Field Models
Alexander Strunk, Roland Assam
This paper introduces Tensor Field Models (TFMs), realization-level Mathematical Structures in which a learned Operator maps a product of admissible component-section families to a…
Gauge Flow Models
Alexander Strunk, Roland Assam
This paper introduces Gauge Flow Models, a novel class of Generative Flow Models. These models incorporate a learnable Gauge Field within the Flow Ordinary Differential Equation (O…
General Proximal Flow Networks
Alexander Strunk, Roland Assam
This paper introduces General Proximal Flow Networks (GPFNs), a generalization of Bayesian Flow Networks that broadens the class of admissible belief-update operators. In Bayesian…
Tensor Gauge Flow Models
Alexander Strunk, Roland Assam
This paper introduces Tensor Gauge Flow Models, a new class of Generative Flow Models that generalize Gauge Flow Models and Higher Gauge Flow Models by incorporating higher-order T…