| Airline itinerary choice modeling using machine learning A Lhéritier, M Bocamazo, T Delahaye, R Acuna-Agost Journal of choice modelling 31, 198-209, 2019 | 110 | 2019 |
| Airline passenger name record generation using generative adversarial networks A Mottini, A Lheritier, R Acuna-Agost arXiv preprint arXiv:1807.06657, 2018 | 59 | 2018 |
| A sequential non-parametric multivariate two-sample test A Lhéritier, F Cazals IEEE Transactions on Information Theory 64 (5), 3361-3370, 2018 | 23 | 2018 |
| Price elasticity estimation for deep learning-based choice models: An application to air itinerary choices R Acuna-Agost, E Thomas, A Lhéritier Journal of Revenue and Pricing Management 20 (3), 213-226, 2021 | 18 | 2021 |
| Understanding customer choices to improve recommendations in the air travel industry. A Mottini, A Lhéritier, R Acuna-Agost, MA Zuluaga RecTour@ RecSys, 28-32, 2018 | 18 | 2018 |
| Anti‐interleukin‐6 signalling therapy rebalances the disrupted cytokine production of B cells from patients with active rheumatoid arthritis S Fleischer, S Ries, P Shen, A Lheritier, F Cazals, GR Burmester, ... European Journal of Immunology 48 (1), 194-203, 2018 | 18 | 2018 |
| Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces F Cazáis, A Lhéritier 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 15 | 2015 |
| Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study H Schweke, Q Xu, G Tauriello, L Pantolini, T Schwede, F Cazals, ... Proteomics 23 (17), 2200323, 2023 | 5 | 2023 |
| PCMC-Net: Feature-based pairwise choice Markov chains A Lhéritier arXiv preprint arXiv:1909.11553, 2019 | 5 | 2019 |
| Airline itinerary choice modeling using machine learning. J. Choice Modell. 31, 198–209 A Lhéritier, M Bocamazo, T Delahaye, R Acuna-Agost | 5 | 2019 |
| Airline passenger name record generation using generative adversarial networks. arXiv 2018 A Mottini, A Lheritier, R Acuna-Agost arXiv preprint arXiv:1807.06657, 0 | 5 | |
| A Cram\'er Distance perspective on Quantile Regression based Distributional Reinforcement Learning A Lhéritier, N Bondoux arXiv preprint arXiv:2110.00535, 2021 | 4 | 2021 |
| A sequential nonparametric two-sample test A Lhéritier, F Cazals Inria, 2015 | 4 | 2015 |
| Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees A Lhéritier, F Cazals NeurIPS 2019-Thirty-third Conference on Neural Information Processing Systems, 2019 | 3 | 2019 |
| Nonparametric methods for learning and detecting multivariate statistical dissimilarity A Lhéritier Université Nice Sophia Antipolis, 2015 | 2 | 2015 |
| vibbits/Elixir-3DBioInfo-Benchmark-Protein-Interfaces H Schweke, Q Xu, G Tauriello, L Pantolini, T Schwede, F Cazals, ... Github, 2023 | | 2023 |
| A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning A Lhéritier, SAS Amadeus, N Bondoux stat 1050, 1, 2021 | | 2021 |
| Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees F Cazals, A Lhéritier NeurIPS 2019-Thirty-third Conference on Neural Information Processing Systems, 2019 | | 2019 |
| Airline Itinerary Choice Modelling Using Machine Learning R Acuna-Agost, T Delahaye, A Lheritier, M Bocamazo International Choice Modelling Conference 2017, 2017 | | 2017 |
| Méthodes non-paramétriques pour l'apprentissage et la détection de dissimilarité statistique multivariée A Lhéritier Nice, 2015 | | 2015 |
