Track manipulation, locomotion and embodied systems.
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Affiliation:, University College London, King's College London
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Spherical CNNs learn physical symmetry exactly, slashing simulation costs and unlocking new levels of accuracy in cosmology and beyond.
Amortized estimation of absolute model evidence is now achievable with ENFR, enabling direct, high-dimensional model misspecification tests without relying on Bayes factors alone.
Achieving accurate cosmological inference with just 60 high-fidelity simulations could revolutionize the cost-effectiveness of weak lensing studies.
Identifying and resolving parameter degeneracies can cut simulation costs by up to 10x while enhancing our understanding of complex models.