Gabriel Stoltz

52 papers A 1Journal 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Momentum and Nonlinear Damping for Neural Network Training. CoRR Aikaterini Karoni, Rajit Rajpal, Benedict J. Leimkuhler, Gabriel Stoltz
2026	J	`jnl`	Neural Network Approaches for Variance Reduction in Fluctuation Formulas. SIAM/ASA J. Uncertain. Quantification Grigorios A. Pavliotis, Renato Spacek, Gabriel Stoltz, Urbain Vaes
2026	J	`jnl`	Unbiasing Hamiltonian Monte Carlo Algorithms for a General Hamiltonian Function. Found. Comput. Math. Tony Lelièvre, Régis Santet, Gabriel Stoltz
2025	J	`jnl`	Dynamical reweighting for estimation of fluctuation formulas. CoRR Raphaël Gastaldello, Gabriel Stoltz, Urbain Vaes
2025	J	`jnl`	How to Construct Explicit Decay Rates for Kinetic Fokker-Planck Equations? SIAM J. Math. Anal. Giovanni Brigati, Gabriel Stoltz
2025	J	`jnl`	Improving sampling by modifying the effective diffusion. J. Comput. Phys. Tony Lelièvre, Régis Santet, Gabriel Stoltz
2025	J	`jnl`	Machine learning assisted canonical sampling (Mlacs). Comput. Phys. Commun. Aloïs Castellano, Romuald Béjaud, Pauline Richard, Olivier Nadeau, Clément Duval, Grégory Geneste, Gabriel Antonius, Johann Bouchet, Antoine Levitt, Gabriel Stoltz, François Bottin
2025	J	`jnl`	Sampling metastable systems using collective variables and Jarzynski-Crooks paths. J. Comput. Phys. Christoph Schönle, Marylou Gabrié, Tony Lelièvre, Gabriel Stoltz
2024	J	`jnl`	Improving sampling by modifying the effective diffusion. CoRR Tony Lelièvre, Régis Santet, Gabriel Stoltz
2024	J	`jnl`	Neural network approaches for variance reduction in fluctuation formulas. CoRR Grigorios A. Pavliotis, Renato Spacek, Gabriel Stoltz, Urbain Vaes
2024	J	`jnl`	Optimizing the diffusion coefficient of overdamped Langevin dynamics. CoRR Tony Lelièvre, Grigorios A. Pavliotis, Geneviève Robin, Régis Santet, Gabriel Stoltz
2024	J	`jnl`	Sticky coupling as a control variate for sensitivity analysis. CoRR Shiva Darshan, Andreas Eberle, Gabriel Stoltz
2024	J	`jnl`	Transient subtraction: A control variate method for computing transport coefficients. CoRR Pierre Monmarché, Renato Spacek, Gabriel Stoltz
2023	J	`jnl`	Extending the Regime of Linear Response with Synthetic Forcings. Multiscale Model. Simul. Renato Spacek, Gabriel Stoltz
2023	J	`jnl`	Extending the regime of linear response with synthetic forcings. CoRR Renato Spacek, Gabriel Stoltz
2023	J	`jnl`	Fixing the flux: A dual approach to computing transport coefficients. CoRR Noé Blassel, Gabriel Stoltz
2023	J	`jnl`	Mini-batching error and adaptive Langevin dynamics. J. Mach. Learn. Res. Inass Sekkat, Gabriel Stoltz
2023	J	`jnl`	Mobility Estimation for Langevin Dynamics Using Control Variates. Multiscale Model. Simul. Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes
2023	J	`jnl`	Second order quantitative bounds for unadjusted generalized Hamiltonian Monte Carlo. CoRR Evan Camrud, Alain Oliviero Durmus, Pierre Monmarché, Gabriel Stoltz
2023	J	`jnl`	Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian function. CoRR Tony Lelièvre, Régis Santet, Gabriel Stoltz
2022	J	`jnl`	Error estimates and variance reduction for nonequilibrium stochastic dynamics. CoRR Gabriel Stoltz
2022	J	`jnl`	Generative methods for sampling transition paths in molecular dynamics. CoRR Tony Lelièvre, Geneviève Robin, Inass Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso
2022	J	`jnl`	Mobility estimation for Langevin dynamics using control variates. CoRR Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes
2021	J	`jnl`	Chasing Collective Variables using Autoencoders and biased trajectories. CoRR Zineb Belkacemi, Paraskevi Gkeka, Tony Lelièvre, Gabriel Stoltz
2021	J	`jnl`	Coulomb Gases Under Constraint: Some Theoretical and Numerical Results. SIAM J. Math. Anal. Djalil Chafaï, Grégoire Ferré, Gabriel Stoltz
2021	J	`jnl`	Martingale product estimators for sensitivity analysis in computational statistical physics. CoRR Petr Plechác, Gabriel Stoltz, Ting Wang
2021	J	`jnl`	Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics. CoRR Inass Sekkat, Gabriel Stoltz
2021	J	`jnl`	Scaling Limits for the Generalized Langevin Equation. J. Nonlinear Sci. Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes
2021	J	`jnl`	Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics. CoRR Alain Durmus, Aurélien Enfroy, Éric Moulines, Gabriel Stoltz
2020	J	`jnl`	Correction to: Hybrid Monte Carlo methods for sampling probability measures on submanifolds. Numerische Mathematik Tony Lelièvre, Mathias Rousset, Gabriel Stoltz
2020	J	`jnl`	Hypocoercivity Properties of Adaptive Langevin Dynamics. SIAM J. Appl. Math. Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz
2020	J	`jnl`	Multiple projection MCMC algorithms on submanifolds. CoRR Tony Lelièvre, Gabriel Stoltz, Wei Zhang
2020	A	`conf`	Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions. AISTATS Loucas Pillaud-Vivien, Francis R. Bach, Tony Lelièvre, Alessandro Rudi, Gabriel Stoltz
2019	J	`jnl`	A Perturbative Approach to Control Variates in Molecular Dynamics. Multiscale Model. Simul. Julien Roussel, Gabriel Stoltz
2019	J	`jnl`	Convergence of the likelihood ratio method for linear response of non-equilibrium stationary states. CoRR Ting Wang, Gabriel Stoltz, Petr Plechác
2019	J	`jnl`	Error estimates on ergodic properties of discretized Feynman-Kac semigroups. Numerische Mathematik Grégoire Ferré, Gabriel Stoltz
2019	J	`jnl`	Hybrid Monte Carlo methods for sampling probability measures on submanifolds. Numerische Mathematik Tony Lelièvre, Mathias Rousset, Gabriel Stoltz
2019	J	`jnl`	Hypocoercivity properties of adaptive Langevin dynamics. CoRR Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz
2018	J	`jnl`	Langevin Dynamics With General Kinetic Energies. Multiscale Model. Simul. Gabriel Stoltz, Zofia Trstanova
2017	J	`jnl`	Cluster dynamics modelling of materials: A new hybrid deterministic/stochastic coupling approach. J. Comput. Phys. Pierre Terrier, Manuel Athènes, Thomas Jourdan, Gilles Adjanor, Gabriel Stoltz
2017	J	`jnl`	Improving dynamical properties of metropolized discretizations of overdamped Langevin dynamics. Numerische Mathematik M. Fathi, Gabriel Stoltz
2017	J	`jnl`	Self-healing umbrella sampling: convergence and efficiency. Stat. Comput. Gersende Fort, Benjamin Jourdain, Tony Lelièvre, Gabriel Stoltz
2017	J	`jnl`	Stable schemes for dissipative particle dynamics with conserved energy. J. Comput. Phys. Gabriel Stoltz
2016	J	`jnl`	An accurate scheme to solve cluster dynamics equations using a Fokker-Planck approach. Comput. Phys. Commun. Thomas Jourdan, Gabriel Stoltz, Frédéric Legoll, Laurent Monasse
2016	J	`jnl`	Partial differential equations and stochastic methods in molecular dynamics. Acta Numer. Tony Lelièvre, Gabriel Stoltz
2015	J	`jnl`	Convergence of the Wang-Landau algorithm. Math. Comput. Gersende Fort, Benjamin Jourdain, Estelle Kuhn, Tony Lelièvre, Gabriel Stoltz
2013	J	`jnl`	Erratum: Nonequilibrium Shear Viscosity Computations with Langevin Dynamics. Multiscale Model. Simul. Rémi Joubaud, Gabriel Stoltz
2012	J	`jnl`	Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors. Stat. Comput. Nicolas Chopin, Tony Lelièvre, Gabriel Stoltz
2012	J	`jnl`	Langevin dynamics with constraints and computation of free energy differences. Math. Comput. Tony Lelièvre, Mathias Rousset, Gabriel Stoltz
2012	J	`jnl`	Nonequilibrium Shear Viscosity Computations with Langevin Dynamics. Multiscale Model. Simul. Rémi Joubaud, Gabriel Stoltz
2007	J	`jnl`	Computation of free energy differences through nonequilibrium stochastic dynamics: The reaction coordinate case. J. Comput. Phys. Tony Lelièvre, Mathias Rousset, Gabriel Stoltz
2007	J	`jnl`	Path sampling with stochastic dynamics: Some new algorithms. J. Comput. Phys. Gabriel Stoltz

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.