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Found 8 papers, 3 papers with code
Efficient Discrete Physics-informed Neural Networks for Addressing Evolutionary Partial Differential Equations
Physics-informed neural networks (PINNs) have shown promising potential for solving partial differential equations (PDEs) using deep learning.
Machine Learning Clifford invariants of ADE Coxeter elements
This provides the perfect setup for machine learning, and indeed we see that the datasets can be machine learned to very high accuracy.
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Extensive experiments demonstrate that our method outperforms other methods in maintaining temporal consistency both qualitatively and quantitatively.
SPColor: Semantic Prior Guided Exemplar-based Image Colorization
Previous methods search for correspondence across the entire reference image, and this type of global matching is easy to get mismatch.
Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency
Exemplar-based video colorization is an essential technique for applications like old movie restoration.
Bioinformatic analysis for structure and function of Glutamine synthetase(GS)
The structure domain was analyzed by Blast.
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with continuous actions have received relatively few investigations.
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment.
