collaborators

7 papers

q-fin.CP2026

Deep-MKV-TS: Path-Dependent McKean--Vlasov Control for Financial Time Series Generation

Samer El Boustany, Théo Basseras, Samy Mekkaoui +3

We introduce Deep-MKV-TS, a path-dependent McKean-Vlasov framework for financial scenario generation. The stochastic dynamics are chosen by matching selected path and volatility fe…

q-fin.ST2026

The Fundamental Structure of Risk: From Characteristics to Covariance

Alexandre Alouadi, Charles-Albert Lehalle

Estimating the covariance structure of financial assets typically relies on historical returns, making risk models dependent on noisy and asset-specific time series. We propose the…

math.OC2026

Learning Generative Dynamics with Soft Path-Law Constraints: A McKean-Vlasov FBSDE Approach

Samer El Boustany, Samy Mekkaoui, Yadh Hafsi +2

We introduce a unified framework for learning stochastic dynamics from distributional observations and discretely observed trajectories. The key contribution is to combine soft law…

cs.LG2026

SBBTS: A Unified Schrödinger-Bass Framework for Synthetic Financial Time Series

Alexandre Alouadi, Grégoire Loeper, Célian Marsala +2

We study the problem of generating synthetic time series that reproduce both marginal distributions and temporal dynamics, a central challenge in financial machine learning. Existi…

math.PR2026

A PDE Derivation of the Schrödinger--Bass Bridge

Alexandre Alouadi, Pierre Henry-Labordère, Grégoire Loeper +3

This short paper announces the main results of \cite{SBB2026}, where the Schrödinger--Bass Bridge (SBB) problem is introduced and studied in full generality. Here we provide a dire…

cs.LG2026

LightSBB-M: Bridging Schrödinger and Bass for Generative Diffusion Modeling

Alexandre Alouadi, Pierre Henry-Labordère, Grégoire Loeper +3

The Schrodinger Bridge and Bass (SBB) formulation, which jointly controls drift and volatility, is an established extension of the classical Schrodinger Bridge (SB). Building on th…

cs.LG2025

Robust time series generation via Schrödinger Bridge: a comprehensive evaluation

Alexandre Alouadi, Baptiste Barreau, Laurent Carlier +1

We investigate the generative capabilities of the Schrödinger Bridge (SB) approach for time series. The SB framework formulates time series synthesis as an entropic optimal interpo…