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Xavier Glorot

2 accepted papers

2022

Proving Theorems using Incremental Learning and Hindsight Experience Replay

ICML 2022spotlight

Traditional automated theorem proving systems for first-order logic depend on speed-optimized search and many handcrafted heuristics designed to work over a wide range of domains. Machine learning approaches in the literature either depend on these traditional provers to bootstrap themselves, by lev…

Cited by 23SourcePDFScholar
2017

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

ICLR 2017poster

Learning an interpretable factorised representation of the independent data generative factors of the world without supervision is an important precursor for the development of artificial intelligence that is able to learn and reason in the same way that humans do. We introduce beta-VAE, a new state…

Cited by 6129SourceScholar