Danilo Jimenez Rezende
4 papers in the PaperMetrix corpus
Papers by this author
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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
2021 · arXiv (Cornell University)
Inducing causal relationships from observations is a classic problem in machine learning. Most work in causality starts from the premise that the causal variables themselves are observed. However, for AI agents such as robots trying …
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Sampling QCD field configurations with gauge-equivariant flow models
2022 · arXiv (Cornell University)
Machine learning methods based on normalizing flows have been shown to address important challenges, such as critical slowing-down and topological freezing, in the sampling of gauge field configurations in simple lattice field theories. A critical …
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Applications of flow models to the generation of correlated lattice QCD ensembles
2024 · arXiv (Cornell University)
Machine-learned normalizing flows can be used in the context of lattice quantum field theory to generate statistically correlated ensembles of lattice gauge fields at different action parameters. This work demonstrates how these correlations can be …
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Interaction Networks for Learning about Objects, Relations and Physics
2016 · arXiv (Cornell University)
Reasoning about objects, relations, and physics is central to human intelligence, and a key goal of artificial intelligence. Here we introduce the interaction network, a model which can reason about how objects in complex systems …