Zero-error codes for the noisy-typewriter channel. - Francisco J. R. Ruiz; Fernando Pérez-Cruz (ITW, 2011)

Bayesian Nonparametric Modeling of Suicide Attempts. - Francisco J. R. Ruiz; Isabel Valera; Carlos Blanco 002; Fernando Pérez-Cruz (NIPS, 2012)

Bayesian Nonparametric Poisson Factorization for Recommendation Systems. - Prem Gopalan; Francisco J. R. Ruiz; Rajesh Ranganath; David M. Blei (AISTATS, 2014)

Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. - Isabel Valera; Francisco J. R. Ruiz; Fernando Pérez-Cruz (CIP, 2014)

Bayesian nonparametric comorbidity analysis of psychiatric disorders. - Francisco J. R. Ruiz; Isabel Valera; Carlos Blanco 002; Fernando Pérez-Cruz (J. Mach. Learn. Res., 2014)

A Bayesian nonparametric approach for blind multiuser channel estimation. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (EUSIPCO, 2015)

Infinite Factorial Dynamical Model. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (NIPS, 2015)

Exponential Family Embeddings. - Maja Rudolph; Francisco J. R. Ruiz; Stephan Mandt; David M. Blei (NIPS, 2016)

The Generalized Reparameterization Gradient. - Francisco J. R. Ruiz; Michalis K. Titsias; David M. Blei (NIPS, 2016)

Overdispersed Black-Box Variational Inference. - Francisco J. R. Ruiz; Michalis K. Titsias; David M. Blei (UAI, 2016)

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. - Isabel Valera; Francisco J. R. Ruiz; Pablo M. Olmos; Carlos Blanco 002; Fernando Pérez-Cruz (Neural Comput., 2016)

Infinite Factorial Unbounded-State Hidden Markov Model. - Isabel Valera; Francisco J. R. Ruiz; Fernando Pérez-Cruz (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. - Christian A. Naesseth; Francisco J. R. Ruiz; Scott W. Linderman; David M. Blei (AISTATS, 2017)

Context Selection for Embedding Models. - Li-Ping Liu 001; Francisco J. R. Ruiz; Susan Athey; David M. Blei (NIPS, 2017)

Structured Embedding Models for Grouped Data. - Maja Rudolph; Francisco J. R. Ruiz; Susan Athey; David M. Blei (NIPS, 2017)

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. - Francisco J. R. Ruiz; Susan Athey; David M. Blei (CoRR, 2017)

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. - Maryam Fatemi; Karl Granström; Lennart Svensson; Francisco J. R. Ruiz; Lars Hammarstrand (IEEE Trans. Signal Process., 2017)

Augment and Reduce: Stochastic Inference for Large Categorical Distributions. - Francisco J. R. Ruiz; Michalis K. Titsias; Adji B. Dieng; David M. Blei (ICML, 2018)

Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. - Susan Athey; David M. Blei; Robert Donnelly; Francisco J. R. Ruiz; Tobias Schmidt (CoRR, 2018)

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. - Francisco J. R. Ruiz; Isabel Valera; Lennart Svensson; Fernando Pérez-Cruz (IEEE Trans. Cogn. Commun. Netw., 2018)

Unbiased Implicit Variational Inference. - Michalis K. Titsias; Francisco J. R. Ruiz (AISTATS, 2019)

A Contrastive Divergence for Combining Variational Inference and MCMC. - Francisco J. R. Ruiz; Michalis K. Titsias (ICML, 2019)

Counterfactual Inference for Consumer Choice Across Many Product Categories. - Robert Donnelly; Francisco J. R. Ruiz; David M. Blei; Susan Athey (CoRR, 2019)

The Dynamic Embedded Topic Model. - Adji B. Dieng; Francisco J. R. Ruiz; David M. Blei (CoRR, 2019)

Prescribed Generative Adversarial Networks. - Adji B. Dieng; Francisco J. R. Ruiz; David M. Blei; Michalis K. Titsias (CoRR, 2019)

VarGrad: A Low-Variance Gradient Estimator for Variational Inference. - Lorenz Richter; Ayman Boustati; Nikolas Nüsken; Francisco J. R. Ruiz; Ömer Deniz Akyildiz (NeurIPS, 2020)

Topic Modeling in Embedding Spaces. - Adji Bousso Dieng; Francisco J. R. Ruiz; David M. Blei (Trans. Assoc. Comput. Linguistics, 2020)

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. - Xiaohui Chen; Xu Han 012; Jiajing Hu; Francisco J. R. Ruiz; Li-Ping Liu 001 (ICML, 2021)

Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. - Francisco J. R. Ruiz; Michalis K. Titsias; A. Taylan Cemgil; Arnaud Doucet (UAI, 2021)

Information theoretic meta learning with Gaussian processes. - Michalis K. Titsias; Francisco J. R. Ruiz; Sotirios Nikoloutsopoulos; Alexandre Galashov (UAI, 2021)

Discovering faster matrix multiplication algorithms with reinforcement learning. - Alhussein Fawzi; Matej Balog; Aja Huang; Thomas Hubert; Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Francisco J. R. Ruiz; Julian Schrittwieser; Grzegorz Swirszcz; David Silver; Demis Hassabis; et al. (Nat., 2022)

Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation. - Xu Han 012; Xiaohui Chen; Francisco J. R. Ruiz; Li-Ping Liu 001 (J. Mach. Learn. Res., 2023)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. - Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco J. R. Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa (CoRR, 2024)

Mathematical discoveries from program search with large language models. - Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Matej Balog; M. Pawan Kumar; Emilien Dupont; Francisco J. R. Ruiz; Jordan S. Ellenberg; Pengming Wang 001; Omar Fawzi; Pushmeet Kohli; Alhussein Fawzi (Nat., 2024)

Quantum circuit optimization with AlphaTensor. - Francisco J. R. Ruiz; Tuomas Laakkonen; Johannes Bausch; Matej Balog; Mohammadamin Barekatain; Francisco J. H. Heras; Alexander Novikov 001; Nathan Fitzpatrick; Bernardino Romera-Paredes; John van de Wetering; Alhussein Fawzi; Konstantinos Meichanetzidis; et al. (Nat. Mac. Intell., 2025)

AlphaEvolve: A coding agent for scientific and algorithmic discovery. - Alexander Novikov 001; Ngân Vu; Marvin Eisenberger; Emilien Dupont; Po-Sen Huang; Adam Zsolt Wagner; Sergey Shirobokov; Borislav Kozlovskii; Francisco J. R. Ruiz; Abbas Mehrabian; M. Pawan Kumar; Abigail See; et al. (CoRR, 2025)