Alix Lheritier

According to our database, Alix Lheritier authored at least 13 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Variational Inference for Quantum HyperNetworks.

Luca Nepote, Alix Lhéritier, Nicolas Bondoux, Marios Kountouris, Maurizio Filippone

CoRR, June, 2025

Preserving the World Heritage: Post-earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features.

Francesco Dente, Andy Combey, Alix Lhéritier, Rodrigo Acuna-Agost, E. Diego Mercerat

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

Unconditionally Calibrated Priors for Beta Mixture Density Networks.

Alix Lhéritier, Maurizio Filippone

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2022

A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning.

Alix Lheritier, Nicolas Bondoux

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning.

Alix Lhéritier, Nicolas Bondoux

CoRR, 2021

2020

PCMC-Net: Feature-based Pairwise Choice Markov Chains.

Alix Lhéritier

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

kd-switch: A Universal Online Predictor with an application to Sequential Two-Sample Testing.

Alix Lhéritier, Frédéric Cazals

CoRR, 2019

Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees.

Alix Lhéritier, Frédéric Cazals

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A Sequential Non-Parametric Multivariate Two-Sample Test.

Alix Lheritier, Frédéric Cazals

IEEE Trans. Inf. Theory, 2018

Airline Passenger Name Record Generation using Generative Adversarial Networks.

Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost

CoRR, 2018

Understanding Customer Choices to Improve Recommendations in the Air Travel Industry.

Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost, Maria A. Zuluaga

Proceedings of the Workshop on Recommenders in Tourism, 2018

2015

Nonparametric methods for learning and detecting multivariate statistical dissimilarity. (Méthodes non-paramétriques pour l'apprentissage et la détection de dissimilarité statistique multivariée).

Alix Lheritier

PhD thesis, 2015

Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces.

Frédéric Cazals, Alix Lheritier

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015