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Found 5 papers, 1 papers with code
Neural Embeddings for Protein Graphs
Proteins perform much of the work in living organisms, and consequently the development of efficient computational methods for protein representation is essential for advancing large-scale biological research.
Building a 3-Player Mahjong AI using Deep Reinforcement Learning
In this paper, we present Meowjong, an AI for Sanma using deep reinforcement learning.
Structural Inductive Biases in Emergent Communication
In order to communicate, humans flatten a complex representation of ideas and their attributes into a single word or a sentence.
Towards Graph Representation Learning in Emergent Communication
Recent findings in neuroscience suggest that the human brain represents information in a geometric structure (for instance, through conceptual spaces).
Bayesian Optimisation with Gaussian Processes for Premise Selection
Heuristics in theorem provers are often parameterised.
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