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 | 516 | 2019 |
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 | 169 | 2022 |
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 | 169 | 2017 |
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 | 91 | 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 | 87 | 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 | 45 | 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 | 44 | 2015 |
Next-Generation Pose Detection with MoveNet and TensorFlow.js R Votel, N Li, YH Chen, A Oerlemans, F Belletti, A Bunner, V Sundaram https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with …, 2021 | 30 | 2021 |
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 | 30 | 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 | 30 | 2018 |
Scalable realistic recommendation datasets through fractal expansions F Belletti, K Lakshmanan, W Krichene, YF Chen, J Anderson arXiv preprint arXiv:1901.08910, 2019 | 22 | 2019 |
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 | 21 | 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 | 19 | 2020 |
Privacy-preserving MaaS fleet management F Belletti, AM Bayen Transportation research procedia 23, 1000-1024, 2017 | 14 | 2017 |
Yilun Du, Daniel Duckworth, David J K Greff, F Belletti, L Beyer, C Doersch | 12 | 2022 |
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 | 8 | 2017 |
Privacy-preserving MaaS fleet management F Belletti, AM Bayen Transportation Research Part C: Emerging Technologies 94, 270-287, 2018 | 6 | 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 | 6 | 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 | 5 | 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 | 2 | 2020 |