Jose Blanchet

activity

20232026

most citedWhy is the strength of an elastomeric polymer network so low?

2 citations · 4 across the 8 of their papers we have counts for

collaborators

Showing 2024Show all

4 papers · 1 filter

math.PR2024

Tightness Analysis of First Passage Times of $d$ -Dimensional Branching Random Walk

Jose Blanchet, Zhenyuan Zhang

Given a discrete-time non-lattice supercritical branching random walk in $R^{d}$ , we investigate its first passage time to a shifted unit ball of a distance $x$ from the ori…

math.PR2024

On the First Passage Times of Branching Random Walks in $R^{d}$

Jose Blanchet, Wei Cai, Shaswat Mohanty +1

We study the first passage times of discrete-time branching random walks in $R^{d}$ where $d \geq 1$ . Here, the genealogy of the particles follows a supercritical Galton-Wat…

cs.LG2024★ 1 cited

Accelerated Sampling of Rare Events using a Neural Network Bias Potential

Xinru Hua, Rasool Ahmad, Jose Blanchet +1

In the field of computational physics and material science, the efficient sampling of rare events occurring at atomic scale is crucial. It aids in understanding mechanisms behind a…

math.PR2024★ 1 cited

Empirical martingale projections via the adapted Wasserstein distance

Jose Blanchet, Johannes Wiesel, Erica Zhang +1

Given a collection of multidimensional pairs ${(X_{i}, Y_{i}) : 1 \leq i \leq n}$ , we study the problem of projecting the associated suitably smoothed empirical measure onto the space of…

Tightness Analysis of First Passage Times of d-Dimensional Branching Random Walk

On the First Passage Times of Branching Random Walks in Rd

Accelerated Sampling of Rare Events using a Neural Network Bias Potential

Empirical martingale projections via the adapted Wasserstein distance

Tightness Analysis of First Passage Times of $d$ -Dimensional Branching Random Walk

On the First Passage Times of Branching Random Walks in $R^{d}$