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Found 6 papers, 2 papers with code
WISE: Whitebox Image Stylization by Example-based Learning
Image-based artistic rendering can synthesize a variety of expressive styles using algorithmic image filtering.
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks
Self-Organized Criticality (SOC) is a ubiquitous dynamical phenomenon believed to be responsible for the emergence of universal scale-invariant behavior in many, seemingly unrelated systems, such as forest fires, virus spreading or atomic excitation dynamics.
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
Specifically, we test generalization to meshes with different shapes and superposition of solutions for a different number of inhomogeneities.
Maps for Learning Indexable Classes
We study learning of indexed families from positive data where a learner can freely choose a hypothesis space (with uniformly decidable membership) comprising at least the languages to be learned.
Learning Languages with Decidable Hypotheses
This so-called $W$-index allows for naming arbitrary computably enumerable languages, with the drawback that even the membership problem is undecidable.
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms
The goal of this strategy is to reduce training time and eventually help the algorithm to converge.
