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Found 3 papers, 2 papers with code
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
We propose a framework for probabilistic forecasting of dynamical systems based on generative modeling.
Efficient Training of Energy-Based Models Using Jarzynski Equality
Energy-based models (EBMs) are generative models inspired by statistical physics with a wide range of applications in unsupervised learning.
Heading perception and the structure of the optic acceleration field
For a fixating observer tracking a point on a fronto-parallel plane, there are in fact two singularities of optic acceleration: one that is always at fixation (due to image stabilization) and a second whose bias scales inversely with heading, inconsistent with human behavior.
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