Francois Belletti

23 papers A* 3A 4C 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Kubric: A scalable dataset generator. CVPR 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
2022	J	`jnl`	Kubric: A scalable dataset generator. CoRR 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, 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
2020	J	`jnl`	Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson
2020	—	`conf`	Tensor Processing Units for Financial Monte Carlo. PP Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson
2019	A*	`conf`	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. KDD Francois Belletti, Minmin Chen, Ed H. Chi
2019	J	`jnl`	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. CoRR Francois Belletti, Minmin Chen, Ed H. Chi
2019	J	`jnl`	Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson
2019	J	`jnl`	Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess
2019	J	`jnl`	Tensor Processing Units for Financial Monte Carlo. CoRR Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson
2019	A	`conf`	Top-K Off-Policy Correction for a REINFORCE Recommender System. WSDM Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
2019	A*	`conf`	Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2019	J	`jnl`	Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2018	A	`conf`	Categorical-attributes-based item classification for recommender systems. RecSys Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi
2018	J	`jnl`	Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen
2018	A	`conf`	Factorized Recurrent Neural Architectures for Longer Range Dependence. AISTATS Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi
2018	J	`jnl`	Top-K Off-Policy Correction for a REINFORCE Recommender System. CoRR Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
2017	—	`—`	Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series. Francois Belletti
2017	J	`jnl`	Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning. CoRR Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen
2017	A	`conf`	Random projection design for scalable implicit smoothing of randomly observed stochastic processes. AISTATS Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez
2016	C	`conf`	Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis. ACC Francois Belletti, Mandy Huo, Xavier Litrico, Alexandre M. Bayen
2015	—	`conf`	Distributed optimal charging of electric vehicles for demand response and load shaping. CDC Caroline Le Floch, Francois Belletti, Samveg Saxena, Alexandre M. Bayen, Scott J. Moura
2015	J	`jnl`	Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. CoRR Francois Belletti, Evan Randall Sparks, Michael J. Franklin, Alexandre M. Bayen
2015	—	`conf`	Privacy-preserving dual splitting distributed optimization with application to load flattening in California. CDC Francois Belletti, Caroline Le Floch, Scott J. Moura, Alexandre M. Bayen