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

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

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

Computing Credit Valuation Adjustment solving coupled PIDEs in the Bates model

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

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

Flexible Hybrid Stores: Constraint-Based Rewriting to the Rescue

Estocada: Stockage Hybride et Ré-écriture sous Contraintes d'Intégrité

Delayed control design of a vibrating thin membrane via a partial pole placement

Controllability of linear delay systems and of their sampled versions

New Features of P3$\delta$ software: Partial Pole Placement via Delay Action

Calculation of the critical delay for the double inverted pendulum

Spectral dominance of complex roots for single-delay linear equations

Solving LP-MPC problems using ramp functions

Lyapunov Function computation for Periodic Linear Hybrid Systems via Handelman, Polya and SoS approaches: A comparative study

State-feedback design for nonlinear saturating systems

Advances in Distributed Parameter Systems

An LMI-based iterative algorithm for state and output feedback stabilization of discrete-time Lur’e systems

Semi-Definite Programming Methods for the Stability Analysis of Nonlinear Systems

Large-scale nonconvex optimization: randomization, gap estimation, and numerical resolution

Error estimates of a theta-scheme for second-order mean field games

Decomposed resolution of finite-state aggregative optimal control problems

A nonsmooth Frank–Wolfe algorithm through a dual cutting-plane approach

Mean Field Optimization problems: stability results and Lagrangian discretization

A mesh-independent method for second-order potential mean field games

Discrete potential mean field games: duality and numerical resolution

A Lagrangian approach for aggregative mean field games of controls with mixed and final constraints

Generalized conditional gradient and learning in potential mean field games

Deep learning method for accessible eccentric photorefraction

Learning a sparse polynomial approximation to the transition function of general state-space models

Artificial intelligence in lung cancer: current applications and perspectives

Decay Rate Assignment through Multiple Spectral Values in Delay Systems

Over-order multiplicities and their application in controlling delay dynamics. On zeros' distribution of linear combinations of Kummer hypergeometric functions

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification

GHOST: Graph-based Higher-Order Similarity Transformation for Classification

Aggregated f -average Neural Network for Interpretable Ensembling

Strong stability of linear delay-difference equations

Output-feedback controllers with guaranteed L 2 -gain for continuous-time Lur'e systems using noncausal Zames–Falb multipliers

A Matched CBCT Projector-Backprojector Based on the Convolution of B-splines

Well-posedness and asymptotic behavior of difference equations with a time-dependent delay and applications

Towards an MID-based Delayed Design for Arbitrary-order Dynamical Systems with a Mechanical Application

Binary Matrix Completion on Graphs: Application to Collaborative Filtering

Aggregated f -average Neural Network applied to Few-Shot Class Incremental Learning

Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning

171P A deep learning model for breast cancer diagnosis from fine-needle aspiration cytology whole slide images

Regional Stability Analysis of Discrete-Time Piecewise Affine Systems

From Nash to Cournot-Nash via $\Gamma$-convergence

Deep Equilibrium for Hyperparameter Estimation in Dynamic PET Reconstruction