Francisco J. R. Ruiz
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Bayesian Methods and Mixture Models, Statistical Methods and Inference, Machine Learning and Algorithms, Gaussian Processes and Bayesian Inference, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Discovering faster matrix multiplication algorithms with reinforcement learning(2022)433 cited
- → Mathematical discoveries from program search with large language models(2023)290 cited
- → De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization(2019)119 cited
- Bayesian Nonparametric Poisson Factorization for Recommendation Systems(2014)
- → Exponential Family Embeddings(2016)74 cited
- → Poisson Multi-Bernoulli Mapping Using Gibbs Sampling(2017)56 cited
- → Prescribed Generative Adversarial Networks(2019)47 cited
- → SHOPPER: A probabilistic model of consumer choice with substitutes and complements(2020)35 cited
- → A generative model for predicting outcomes in college basketball(2015)32 cited
- → The Generalized Reparameterization Gradient(2016)27 cited