Privacy-preserving dual splitting distributed optimization with application to load flattening in California. - Francois Belletti; Caroline Le Floch; Scott J. Moura; Alexandre M. Bayen (CDC, 2015)

Distributed optimal charging of electric vehicles for demand response and load shaping. - Caroline Le Floch; Francois Belletti; Samveg Saxena; Alexandre M. Bayen; Scott J. Moura (CDC, 2015)

Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. - Francois Belletti; Evan Randall Sparks; Michael J. Franklin; Alexandre M. Bayen (CoRR, 2015)

Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis. - Francois Belletti; Mandy Huo; Xavier Litrico; Alexandre M. Bayen (ACC, 2016)

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. - Francois W. Belletti; Evan Randall Sparks; Michael J. Franklin; Alexandre M. Bayen; Joseph E. Gonzalez (CoRR, 2016)

Random projection design for scalable implicit smoothing of randomly observed stochastic processes. - Francois Belletti; Evan Randall Sparks; Alexandre M. Bayen; Joseph Gonzalez 001 (AISTATS, 2017)

Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series. - Francois Belletti (2017)

Factorized Recurrent Neural Architectures for Longer Range Dependence. - Francois Belletti; Alex Beutel; Sagar Jain; Ed Huai-hsin Chi (AISTATS, 2018)

Categorical-attributes-based item classification for recommender systems. - Qian Zhao; Jilin Chen; Minmin Chen; Sagar Jain; Alex Beutel; Francois Belletti; Ed H. Chi (RecSys, 2018)

Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning. - Francois Belletti; Daniel Haziza; Gabriel Gomes; Alexandre M. Bayen (IEEE Trans. Intell. Transp. Syst., 2018)

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. - Francois Belletti; Minmin Chen; Ed H. Chi (KDD, 2019)

Top-K Off-Policy Correction for a REINFORCE Recommender System. - Minmin Chen; Alex Beutel; Paul Covington; Sagar Jain; Francois Belletti; Ed H. Chi (WSDM, 2019)

Towards Neural Mixture Recommender for Long Range Dependent User Sequences. - Jiaxi Tang; Francois Belletti; Sagar Jain; Minmin Chen; Alex Beutel; Can Xu; Ed H. Chi (WWW, 2019)

Scalable Realistic Recommendation Datasets through Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Yi-Fan Chen; John R. Anderson (CoRR, 2019)

Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Nicolas Mayoraz; Yi-Fan Chen; John R. Anderson; Taylor Robie; Tayo Oguntebi; Dan Shirron; Amit Bleiwess (CoRR, 2019)

Tensor Processing Units for Financial Monte Carlo. - Francois Belletti; Davis King 002; Kun Yang; Roland Nelet; Yusef Shafi; Yi-Fan Chen; John R. Anderson (CoRR, 2019)

Tensor Processing Units for Financial Monte Carlo. - Francois Belletti; Davis King 002; Kun Yang; Roland Nelet; Yusef Shafi; Yi-Fan Shen; John R. Anderson (PP, 2020)

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. - Francois Belletti; Davis King 002; James Lottes; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)