François Belletti
François Belletti
Vahvistettu sähköpostiosoite verkkotunnuksessa
Top-k off-policy correction for a REINFORCE recommender system
M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
Expert level control of ramp metering based on multi-task deep reinforcement learning
F Belletti, D Haziza, G Gomes, AM Bayen
IEEE Transactions on Intelligent Transportation Systems 19 (4), 1198-1207, 2017
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Optimal charging of electric vehicles for load shaping: A dual-splitting framework with explicit convergence bounds
C Le Floch, F Belletti, S Moura
IEEE Transactions on Transportation Electrification 2 (2), 190-199, 2016
Towards neural mixture recommender for long range dependent user sequences
J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H. Chi
The World Wide Web Conference, 1782-1793, 2019
Distributed optimal charging of electric vehicles for demand response and load shaping
C Le Floch, F Belletti, S Saxena, AM Bayen, S Moura
2015 54th IEEE Conference on Decision and Control (CDC), 6570-6576, 2015
Prediction of traffic convective instability with spectral analysis of the Aw–Rascle–Zhang model
F Belletti, M Huo, X Litrico, AM Bayen
Physics Letters A 379 (38), 2319-2330, 2015
Categorical-attributes-based item classification for recommender systems
Q Zhao, J Chen, M Chen, S Jain, A Beutel, F Belletti, EH Chi
Proceedings of the 12th ACM conference on recommender systems, 320-328, 2018
Factorized recurrent neural architectures for longer range dependence
F Belletti, A Beutel, S Jain, E Chi
international conference on artificial intelligence and statistics, 1522-1530, 2018
Next-Generation Pose Detection with MoveNet and TensorFlow.js
R Votel, N Li, YH Chen, A Oerlemans, F Belletti, A Bunner, V Sundaram …, 2021
Quantifying long range dependence in language and user behavior to improve RNNs
F Belletti, M Chen, EH Chi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Scalable realistic recommendation datasets through fractal expansions
F Belletti, K Lakshmanan, W Krichene, YF Chen, J Anderson
arXiv preprint arXiv:1901.08910, 2019
Tensor processing units for financial Monte Carlo
F Belletti, D King, K Yang, R Nelet, Y Shafi, YF Shen, J Anderson
Proceedings of the 2020 SIAM Conference on Parallel Processing for …, 2020
Privacy-preserving MaaS fleet management
F Belletti, AM Bayen
Transportation research procedia 23, 1000-1024, 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
F Belletti, E Sparks, A Bayen, J Gonzalez
Artificial Intelligence and Statistics, 700-708, 2017
Privacy-preserving MaaS fleet management
F Belletti, AM Bayen
Transportation Research Part C: Emerging Technologies 94, 270-287, 2018
Scalable linear causal inference for irregularly sampled time series with long range dependencies
FW Belletti, ER Sparks, MJ Franklin, AM Bayen, JE Gonzalez
arXiv preprint arXiv:1603.03336, 2016
Scaling up collaborative filtering data sets through randomized fractal expansions
F Belletti, K Lakshmanan, W Krichene, N Mayoraz, YF Chen, J Anderson, ...
arXiv preprint arXiv:1905.09874, 2019
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow
F Belletti, D King, J Lottes, YF Chen, J Anderson
arXiv preprint arXiv:2002.02481, 2020
Randomized Fractal Expansions for Production-Scale Public Collaborative-Filtering Data Sets
F Belletti, J Anderson, KS Lakshmanan, N Mayoraz, P Kanwar, T Robie, ...
arXiv preprint arXiv:1905.09874, 2019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20