Francois Belletti

According to our database, Francois Belletti authored at least 19 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow.

Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson

CoRR, 2020

Tensor Processing Units for Financial Monte Carlo.

Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson

Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

2019

Tensor Processing Units for Financial Monte Carlo.

Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, 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

Scalable Realistic Recommendation Datasets through Fractal Expansions.

Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson

CoRR, 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

Proceedings of the World Wide Web Conference, 2019

Top-K Off-Policy Correction for a REINFORCE Recommender System.

Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs.

Francois Belletti, Minmin Chen, Ed H. Chi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Categorical-attributes-based item classification for recommender systems.

Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Factorized Recurrent Neural Architectures for Longer Range Dependence.

Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series.

Francois Belletti

PhD thesis, 2017

Random projection design for scalable implicit smoothing of randomly observed stochastic processes.

Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

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

Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis.

Francois Belletti, Mandy Huo, Xavier Litrico, Alexandre M. Bayen

Proceedings of the 2016 American Control Conference, 2016

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

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

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Privacy-preserving dual splitting distributed optimization with application to load flattening in California.

Francois Belletti, Caroline Le Floch, Scott J. Moura, Alexandre M. Bayen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015