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ORCIDFrancois Belletti
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2020 – today
- 2022
[c11]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:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751- [i11]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:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - 2020
- [c10]Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson:
Tensor Processing Units for Financial Monte Carlo. PP 2020: 12-23 - [i10]Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson:
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR abs/2002.02481 (2020)
2010 – 2019
- 2019
- [c9]Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. KDD 2019: 1317-1327 - [c8]Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. WSDM 2019: 456-464 - [c7]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW 2019: 1782-1793 - [i9]Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson:
Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR abs/1901.08910 (2019) - [i8]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR abs/1902.08588 (2019) - [i7]Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. CoRR abs/1905.09414 (2019) - [i6]Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess:
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR abs/1905.09874 (2019) - [i5]Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson:
Tensor Processing Units for Financial Monte Carlo. CoRR abs/1906.02818 (2019) - 2018
- [j1]Francois Belletti
, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen:
Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 19(4): 1198-1207 (2018) - [c6]Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi:
Factorized Recurrent Neural Architectures for Longer Range Dependence. AISTATS 2018: 1522-1530 - [c5]Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi:
Categorical-attributes-based item classification for recommender systems. RecSys 2018: 320-328 - [i4]Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. CoRR abs/1812.02353 (2018) - 2017
- [b1]Francois Belletti:
Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series. University of California, Berkeley, USA, 2017 - [c4]Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez:
Random projection design for scalable implicit smoothing of randomly observed stochastic processes. AISTATS 2017: 700-708 - [i3]Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen:
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning. CoRR abs/1701.08832 (2017) - 2016
- [c3]Francois Belletti, Mandy Huo, Xavier Litrico, Alexandre M. Bayen:
Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis. ACC 2016: 6127-6132 - [i2]Francois W. Belletti, Evan Randall Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez:
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. CoRR abs/1603.03336 (2016) - 2015
- [c2]Francois Belletti, Caroline Le Floch, Scott J. Moura, Alexandre M. Bayen:
Privacy-preserving dual splitting distributed optimization with application to load flattening in California. CDC 2015: 3355-3360 - [c1]Caroline Le Floch, Francois Belletti, Samveg Saxena, Alexandre M. Bayen, Scott J. Moura:
Distributed optimal charging of electric vehicles for demand response and load shaping. CDC 2015: 6570-6576 - [i1]Francois Belletti, Evan Randall Sparks, Michael J. Franklin, Alexandre M. Bayen:
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. CoRR abs/1511.06493 (2015)
Coauthor Index
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