Francisco J. R. Ruiz

58 papers A* 5A 8B 1Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AlphaEvolve: A coding agent for scientific and algorithmic discovery. CoRR Alexander Novikov, 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, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog
2025	A*	`conf`	FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. ICML Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa
2025	J	`jnl`	Quantum circuit optimization with AlphaTensor. Nat. Mac. Intell. Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli
2024	J	`jnl`	FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. CoRR Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa
2024	J	`jnl`	Mathematical discoveries from program search with large language models. Nat. Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi
2024	J	`jnl`	Quantum Circuit Optimization with AlphaTensor. CoRR Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli
2023	J	`jnl`	Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation. J. Mach. Learn. Res. Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu
2023	A	`ed.`	International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. AISTATS Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent
2023	—	`ed.`	Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. ICBINB Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang
2022	J	`jnl`	Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli
2022	A	`ed.`	International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. AISTATS Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera
2022	—	`ed.`	Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA ICBINB Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein
2021	—	`ed.`	I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. ICBINB@NeurIPS Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde
2021	A	`conf`	Information theoretic meta learning with Gaussian processes. UAI Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos, Alexandre Galashov
2021	A*	`conf`	Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. ICML Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu
2021	J	`jnl`	Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. CoRR Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu
2021	A	`conf`	Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. UAI Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2020	—	`ed.`	"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020 ICBINB@NeurIPS Jessica Zosa Forde, Francisco J. R. Ruiz, Melanie F. Pradier, Aaron Schein
2020	—	`ed.`	Symposium on Advances in Approximate Bayesian Inference, AABI 2019, Vancouver, BC, Canada, December 8, 2019. AABI Cheng Zhang, Francisco J. R. Ruiz, Thang D. Bui, Adji Bousso Dieng, Dawen Liang
2020	J	`jnl`	Topic Modeling in Embedding Spaces. Trans. Assoc. Comput. Linguistics Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei
2020	J	`jnl`	Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains. CoRR Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2020	A*	`conf`	VarGrad: A Low-Variance Gradient Estimator for Variational Inference. NeurIPS Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
2020	J	`jnl`	VarGrad: A Low-Variance Gradient Estimator for Variational Inference. CoRR Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
2019	A*	`conf`	A Contrastive Divergence for Combining Variational Inference and MCMC. ICML Francisco J. R. Ruiz, Michalis K. Titsias
2019	J	`jnl`	A Contrastive Divergence for Combining Variational Inference and MCMC. CoRR Francisco J. R. Ruiz, Michalis K. Titsias
2019	J	`jnl`	Counterfactual Inference for Consumer Choice Across Many Product Categories. CoRR Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey
2019	J	`jnl`	Prescribed Generative Adversarial Networks. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias
2019	—	`ed.`	Symposium on Advances in Approximate Bayesian Inference, AABI 2018, Montréal, QC, Canada, December 2, 2018. AABI Francisco J. R. Ruiz, Cheng Zhang, Dawen Liang, Thang D. Bui
2019	J	`jnl`	The Dynamic Embedded Topic Model. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
2019	J	`jnl`	Topic Modeling in Embedding Spaces. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
2019	A	`conf`	Unbiased Implicit Variational Inference. AISTATS Michalis K. Titsias, Francisco J. R. Ruiz
2018	A*	`conf`	Augment and Reduce: Stochastic Inference for Large Categorical Distributions. ICML Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei
2018	J	`jnl`	Augment and Reduce: Stochastic Inference for Large Categorical Distributions. CoRR Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei
2018	J	`jnl`	Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. CoRR Susan Athey, David M. Blei, Robert Donnelly, Francisco J. R. Ruiz, Tobias Schmidt
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2018	J	`jnl`	Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. CoRR Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
2018	J	`jnl`	Unbiased Implicit Variational Inference. CoRR Michalis K. Titsias, Francisco J. R. Ruiz
2017	—	`conf`	Context Selection for Embedding Models. NIPS Li-Ping Liu, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	J	`jnl`	Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. IEEE Trans. Signal Process. Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
2017	A	`conf`	Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. AISTATS Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei
2017	J	`jnl`	SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. CoRR Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	—	`conf`	Structured Embedding Models for Grouped Data. NIPS Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	J	`jnl`	Structured Embedding Models for Grouped Data. CoRR Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2016	—	`conf`	Exponential Family Embeddings. NIPS Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei
2016	J	`jnl`	Exponential Family Embeddings. CoRR Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei
2016	J	`jnl`	Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz
2016	J	`jnl`	Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2016	A	`conf`	Overdispersed Black-Box Variational Inference. UAI Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei
2016	—	`conf`	The Generalized Reparameterization Gradient. NIPS Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei
2015	—	`conf`	A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2015	—	`conf`	Infinite Factorial Dynamical Model. NIPS Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2014	A	`conf`	Bayesian Nonparametric Poisson Factorization for Recommendation Systems. AISTATS Prem Gopalan, Francisco J. R. Ruiz, Rajesh Ranganath, David M. Blei
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	—	`conf`	Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2012	—	`conf`	Bayesian Nonparametric Modeling of Suicide Attempts. NIPS Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2011	B	`conf`	Zero-error codes for the noisy-typewriter channel. ITW Francisco J. R. Ruiz, Fernando Pérez-Cruz