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Found 3 papers, 2 papers with code
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models
Modeling the dynamics of flexible objects has become an emerging topic in the community as these objects become more present in many applications, e. g., soft robotics.
Scaling Nakamoto Consensus to Thousands of Transactions per Second
The Conflux consensus protocol represents relationships between blocks as a direct acyclic graph and achieves consensus on a total order of the blocks.
Distributed, Parallel, and Cluster Computing
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
It presents two main contributions to traditional GANs: 1) a soft gradient-sensitive objective for keeping semantic boundaries; 2) a semantic-aware discriminator for validating the fidelity of personalized adaptions with respect to each semantic region.
