activity
20122025
most citedOn the Robust superhedging of measurable claims

9 citations · 16 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2025

One model to solve them all: 2BSDE families via neural operators

Takashi Furuya, Anastasis Kratsios, Dylan Possamaï +1

We introduce a mild generative variant of the classical neural operator model, which leverages Kolmogorov--Arnold networks to solve infinite families of second-order backward stoch…

math.PR2025

Mind the jumps: well-posedness of semi-martingale 2BSDEs

Dylan Possamaï, Marco Rodrigues, Alexandros Saplaouras

We develop a well-posedness theory for second-order backward stochastic differential equations (2BSDEs) with jumps. This work covers two complementary notions of solution: an extri…

math.PR2020

A unified approach to well-posedness of type-I backward stochastic Volterra integral equations

Camilo Hernández, Dylan Possamaï

We study a novel general class of multidimensional type-I backward stochastic Volterra integral equations. Toward this goal, we introduce an infinite dimensional system of standard…

math.OC2019★ 2 cited

McKean-Vlasov optimal control: the dynamic programming principle

Mao Fabrice Djete, Dylan Possamaï, Xiaolu Tan

We study the McKean-Vlasov optimal control problem with common noise in various formulations, namely the strong and weak formulation, as well as the Markovian and non-Markovian for…

math.PR2015

Utility maximization with random horizon: a BSDE approach

Monique Jeanblanc, Thibaut Mastrolia, Dylan Possamaï +1

In this paper we study a utility maximization problem with random horizon and reduce it to the analysis of a specific BSDE, which we call BSDE with singular coefficients, when the…

math.PR2014★ 5 cited

On the Malliavin differentiability of BSDEs

Thibaut Mastrolia, Dylan Possamaï, Anthony Réveillac

In this paper we provide new conditions for the Malliavin differentiability of solutions of Lipschitz or quadratic BSDEs. Our results rely on the interpretation of the Malliavin de…