Learning multifractal structure in large networks. - Austin R. Benson; Carlos Riquelme; Sven Schmit (KDD, 2014)

Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach. - Siddhartha Banerjee; Ramesh Johari; Carlos Riquelme (EC, 2015)

Dynamic pricing in ridesharing platforms. - Siddhartha Banerjee; Ramesh Johari; Carlos Riquelme (SIGecom Exch., 2016)

Online Active Linear Regression via Thresholding. - Carlos Riquelme; Ramesh Johari; Baosen Zhang (AAAI, 2017)

Active Learning for Accurate Estimation of Linear Models. - Carlos Riquelme; Mohammad Ghavamzadeh; Alessandro Lazaric (ICML, 2017)

Human Interaction with Recommendation Systems: On Bias and Exploration. - Sven Schmit; Carlos Riquelme (CoRR, 2017)

Human Interaction with Recommendation Systems. - Sven Schmit; Carlos Riquelme (AISTATS, 2018)

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. - Carlos Riquelme; George Tucker; Jasper Snoek (ICLR (Poster), 2018)

Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. - Carlos Riquelme; Hugo Penedones; Damien Vincent; Hartmut Maennel; Sylvain Gelly; Timothy A. Mann; André Barreto 001; Gergely Neu (NeurIPS, 2019)

Practical and Consistent Estimation of f-Divergences. - Paul K. Rubenstein; Olivier Bousquet; Josip Djolonga; Carlos Riquelme; Ilya O. Tolstikhin (NeurIPS, 2019)

The Visual Task Adaptation Benchmark. - Xiaohua Zhai; Joan Puigcerver; Alexander Kolesnikov 003; Pierre Ruyssen; Carlos Riquelme; Mario Lucic; Josip Djolonga; André Susano Pinto; Maxim Neumann; Alexey Dosovitskiy; Lucas Beyer; Olivier Bachem; et al. (CoRR, 2019)

Google Research Football: A Novel Reinforcement Learning Environment. - Karol Kurach; Anton Raichuk; Piotr Stanczyk; Michal Zajac 005; Olivier Bachem; Lasse Espeholt; Carlos Riquelme; Damien Vincent; Marcin Michalski; Olivier Bousquet; Sylvain Gelly (AAAI, 2020)

On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation. - Nicolas Brosse; Carlos Riquelme; Alice Martin 001; Sylvain Gelly; Eric Moulines (CoRR, 2020)

Deep Ensembles for Low-Data Transfer Learning. - Basil Mustafa; Carlos Riquelme; Joan Puigcerver; André Susano Pinto; Daniel Keysers; Neil Houlsby (CoRR, 2020)

Scalable Transfer Learning with Expert Models. - Joan Puigcerver; Carlos Riquelme Ruiz; Basil Mustafa; Cédric Renggli; André Susano Pinto; Sylvain Gelly; Daniel Keysers; Neil Houlsby (ICLR, 2021)

Scaling Vision with Sparse Mixture of Experts. - Carlos Riquelme; Joan Puigcerver; Basil Mustafa; Maxim Neumann; Rodolphe Jenatton; André Susano Pinto; Daniel Keysers; Neil Houlsby (NeurIPS, 2021)

Which Model to Transfer? Finding the Needle in the Growing Haystack. - Cédric Renggli; André Susano Pinto; Luka Rimanic; Joan Puigcerver; Carlos Riquelme; Ce Zhang 001; Mario Lucic (CVPR, 2022)

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. - Basil Mustafa; Carlos Riquelme; Joan Puigcerver; Rodolphe Jenatton; Neil Houlsby (NeurIPS, 2022)

On the Adversarial Robustness of Mixture of Experts. - Joan Puigcerver; Rodolphe Jenatton; Carlos Riquelme; Pranjal Awasthi; Srinadh Bhojanapalli (NeurIPS, 2022)

Learning to Merge Tokens in Vision Transformers. - Cédric Renggli; André Susano Pinto; Neil Houlsby; Basil Mustafa; Joan Puigcerver; Carlos Riquelme (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 2022)

Sparse MoEs meet Efficient Ensembles. - James Urquhart Allingham; Florian Wenzel; Zelda E. Mariet; Basil Mustafa; Joan Puigcerver; Neil Houlsby; Ghassen Jerfel; Vincent Fortuin; Balaji Lakshminarayanan; Jasper Snoek; Dustin Tran; Carlos Riquelme Ruiz; et al. (Trans. Mach. Learn. Res., 2022)

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. - Aran Komatsuzaki; Joan Puigcerver; James Lee-Thorp; Carlos Riquelme Ruiz; Basil Mustafa; Joshua Ainslie; Yi Tay; Mostafa Dehghani 001; Neil Houlsby (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training. - Michael Pieler; Marco Bellagente; Hannah Teufel; Duy Phung; Nathan Cooper; Jonathan Tow; Paulo Rocha; Reshinth Adithyan; Zaid Alyafeai; Nikhil Pinnaparaju; Maksym Zhuravinskyi; Carlos Riquelme (ENLSP, 2024)

Scaling Laws for Sparsely-Connected Foundation Models. - Elias Frantar; Carlos Riquelme Ruiz; Neil Houlsby; Dan Alistarh; Utku Evci (ICLR, 2024)

From Sparse to Soft Mixtures of Experts. - Joan Puigcerver; Carlos Riquelme Ruiz; Basil Mustafa; Neil Houlsby (ICLR, 2024)

Stable LM 2 1.6B Technical Report. - Marco Bellagente; Jonathan Tow; Dakota Mahan; Duy Phung; Maksym Zhuravinskyi; Reshinth Adithyan; James Baicoianu; Ben Brooks; Nathan Cooper; Ashish Datta; Meng Lee; Emad Mostaque; et al. (CoRR, 2024)

Stable Code Technical Report. - Nikhil Pinnaparaju; Reshinth Adithyan; Duy Phung; Jonathan Tow; James Baicoianu; Ashish Datta; Maksym Zhuravinskyi; Dakota Mahan; Marco Bellagente; Carlos Riquelme; Nathan Cooper (CoRR, 2024)

Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic. - Zaid Alyafeai; Michael Pieler; Hannah Teufel; Jonathan Tow; Marco Bellagente; Duy Phung; Nikhil Pinnaparaju; Reshinth Adithyan; Paulo Rocha; Maksym Zhuravinskyi; Carlos Riquelme (CoRR, 2024)

Routers in Vision Mixture of Experts: An Empirical Study. - Tianlin Liu; Mathieu Blondel; Carlos Riquelme Ruiz; Joan Puigcerver (Trans. Mach. Learn. Res., 2024)