activity
20222026
most citedUltra-marginal Feature Importance: Learning from Data with Causal Guarantees

5 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots

Vincent Guan, Lazar Atanackovic, Kirill Neklyudov

The population dynamics of molecules, cells, and organisms are governed by a number of unknown forces. In the last decade, population dynamics have predominantly been modeled with…

math.ST2025

Path-Dependent SDEs: Solutions and Parameter Estimation

Pardis Semnani, Vincent Guan, Elina Robeva +1

We develop a consistent method for estimating the parameters of a rich class of path-dependent SDEs, called signature SDEs, which can model general path-dependent phenomena. Path s…

math.PR2025

Gradient-flow SDEs have unique transient population dynamics

Vincent Guan, Joseph Janssen, Nicolas Lanzetti +3

Identifying the drift and diffusion of an SDE from its population dynamics is a notoriously challenging task. Researchers in machine learning and single-cell biology have only been…

stat.ML2024★ 3 cited

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots

Vincent Guan, Joseph Janssen, Hossein Rahmani +4

Stochastic differential equations (SDEs) are a fundamental tool for modelling dynamic processes, including gene regulatory networks (GRNs), contaminant transport, financial markets…

cs.CR2024

A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data

Vincent Guan, Florent Guépin, Ana-Maria Cretu +1

Location data is frequently collected from populations and shared in aggregate form to guide policy and decision making. However, the prevalence of aggregated data also raises the…

stat.ML2022★ 5 cited

Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees

Joseph Janssen, Vincent Guan, Elina Robeva

Scientists frequently prioritize learning from data rather than training the best possible model; however, research in machine learning often prioritizes the latter. Marginal contr…

math.AP2022★ 4 cited

Helmholtz Solutions for the Fractional Laplacian and Other Related Operators

Vincent Guan, Mathav Murugan, Juncheng Wei

We show that the bounded solutions to the fractional Helmholtz equation, for in , are given by the bounded solutions to the classical Helmholtz…