activity
20082022
most citedInference in particle tracking experiments by passing messages between images

55 citations · 176 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.soft2022★ 22 cited

A simple solution to the problem of self-assembling cubic diamond crystals

Lorenzo Rovigatti, John Russo, Flavio Romano +3

The self-assembly of colloidal diamond (CD) crystals is considered as one of the most coveted goals of nanotechnology, both from the technological and fundamental points of view. F…

cond-mat.soft2021★ 31 cited

SAT-assembly: A new approach for designing self-assembling systems

John Russo, Flavio Romano, Lukas Kroc +3

We propose a general framework for solving inverse self-assembly problems, i.e. designing interactions between elementary units such that they assemble spontaneously into a predete…

cond-mat.soft2020★ 47 cited

Designing patchy interactions to self-assemble arbitrary structures

Flavio Romano, John Russo, Lukáš Kroc +1

One of the fundamental goals of nanotechnology is to exploit selective and directional interactions between molecules to design particles that self-assemble into desired structures…

cs.AI2012★ 1 cited

Survey Propagation Revisited

Lukas Kroc, Ashish Sabharwal, Bart Selman

Survey propagation (SP) is an exciting new technique that has been remarkably successful at solving very large hard combinatorial problems, such as determining the satisfiability o…

physics.data-an2009★ 55 cited

Inference in particle tracking experiments by passing messages between images

M. Chertkov, L. Kroc, F. Krzakala +2

Methods to extract information from the tracking of mobile objects/particles have broad interest in biological and physical sciences. Techniques based on simple criteria of proximi…

cs.IT2008★ 20 cited

Belief Propagation and Beyond for Particle Tracking

Michael Chertkov, Lukas Kroc, Massimo Vergassola

We describe a novel approach to statistical learning from particles tracked while moving in a random environment. The problem consists in inferring properties of the environment fr…