31 citations · 35 across the 5 of their papers we have counts for
5 papers
Variational Inference for Quantum HyperNetworks
Luca Nepote, Alix Lhéritier, Nicolas Bondoux +2
Binary Neural Networks (BiNNs), which employ single-bit precision weights, have emerged as a promising solution to reduce memory usage and power consumption while maintaining compe…
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
Alix Lhéritier, Nicolas Bondoux
Distributional reinforcement learning (DRL) extends the value-based approach by approximating the full distribution over future returns instead of the mean only, providing a richer…
PCMC-Net: Feature-based Pairwise Choice Markov Chains
Alix Lhéritier
Pairwise Choice Markov Chains (PCMC) have been recently introduced to overcome limitations of choice models based on traditional axioms unable to express empirical observations fro…
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix Lhéritier, Frédéric Cazals
We propose a novel nonparametric online predictor for discrete labels conditioned on multivariate continuous features. The predictor is based on a feature space discretization indu…
Airline Passenger Name Record Generation using Generative Adversarial Networks
Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost
Passenger Name Records (PNRs) are at the heart of the travel industry. Created when an itinerary is booked, they contain travel and passenger information. It is usual for airlines…