Invisible Glue: Scalable Self-Tuning Multi-Stores

Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-Go

Biasing Monte-Carlo Simulations through RAVE Values

Current Frontiers in Computer Go

On the Parallelization of Monte-Carlo planning

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search

Adding expert knowledge and exploration in Monte-Carlo Tree Search

Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo

The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

Modeling tree crown dynamics with 3D partial differential equations

Specification of Anonymity as a Secrecy Property in the ADM Logic – Homomorphic-based Voting Protocols

Characterizing the multiplicity of spectral values for time-delay systems

Hölder equivalence of the value function for control-affine systems

Stabilization of persistently excited linear systems

Deep learning: definition and perspectives for thoracic imaging

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Bayesian Estimation in Functional-Structural Plant Models with Stochastic Organogenesis

Sensitivity analysis of GreenLab model for maize

Computing the moments of probability distributions for branching processes

Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data

GLAM: A Generic Layered Adaptation Model for Adaptive Hypermedia Systems

Computing the codimension of the singularity at the origin for delay systems in the regular case: A vandermonde-based approach

Manifestability Verification of Discrete Event Systems

Flatness-Based Control for a Non-Linear Spatially Distributed Model of a Drilling System

Analysis and control of quadrotor via a Normal Form approach

Converse Lyapunov--Krasovskii Theorems for Uncertain Time-Delay Systems

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension

Algorithmes de majoration-minimisation. Application aux problèmes inverses de grande taille en signal/image

Enriching sparse mobility information in Call Detail Records

A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise

A Proximal Interior Point Algorithm with Applications to Image Processing

On designing robust real-time map-matching algorithms

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

Variance Reduction Applied to Machine Learning for Pricing Bermudan/American Options in High Dimension

Machine learning for pricing American options in high-dimensional Markovian and non-Markovian models

Computing Credit Valuation Adjustment solving coupled PIDEs in the Bates model

Gaussian process regression for pricing variable annuities with stochastic volatility and interest rate

Pricing and hedging GMWB in the Heston and in the Black–Scholes with stochastic interest rate models

Moving average options: Machine learning and Gauss-Hermite quadrature for a double non-Markovian problem

Image inpainting via a control-theoretical model of human vision

Codage vidéo multi-vues

Abstractions of Hybrid Systems for verification

No free lunch for markets with multiple numéraires

No-arbitrage with multiple-priors in discrete time

The Robust Superreplication Problem: A Dynamic Approach

Risk-Neutral Pricing for Arbitrage Pricing Theory

Efficient Approximations for Utility-Based Pricing

Short Communication: Super-Replication Prices with Multiple Priors in Discrete Time

Maximization of Nonconcave Utility Functions in Discrete-Time Financial Market Models

Non-concave utility maximisation on the positive real axis in discrete time