9 citations · 10 across the 3 of their papers we have counts for
3 papers
Relational Graph Convolutional Networks Do Not Learn Sound Rules
Matthew Morris, David J. Tena Cucala, Bernardo Cuenca Grau +1
Graph neural networks (GNNs) are frequently used to predict missing facts in knowledge graphs (KGs). Motivated by the lack of explainability for the outputs of these models, recent…
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris, Thomas D. Barrett, Arnu Pretorius
Allowing agents to share information through communication is crucial for solving complex tasks in multi-agent reinforcement learning. In this work, we consider the question of whe…
Beta-VAE Reproducibility: Challenges and Extensions
Miroslav Fil, Munib Mesinovic, Matthew Morris +1
-VAE is a follow-up technique to variational autoencoders that proposes special weighting of the KL divergence term in the VAE loss to obtain disentangled representations. Unsup…