Luke Vilnis
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Semantic Web and Ontologies, Advanced Graph Neural Networks, Biomedical Text Mining and Ontologies
Most-Cited Works
- → Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning(2017)356 cited
- → Generating Sentences from a Continuous Space(2016)341 cited
- → Adding Gradient Noise Improves Learning for Very Deep Networks(2015)265 cited
- Word Representations via Gaussian Embedding(2015)
- → Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking(2018)95 cited
- Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.(2017)
- Smoothing the Geometry of Probabilistic Box Embeddings(2018)
- → Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection(2018)41 cited
- → Improving Local Identifiability in Probabilistic Box Embeddings(2020)22 cited