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Massimo Fornasier

8 papers hereh-index 446 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • math.AP4
  • math.OC3
  • math.PR1
same name
  • Massimo Fornasier — 2 papers, h 1
  • Massimo Fornasier — 2 papers, h 1
  • Massimo Fornasier — 1 paper
  • Massimo Fornasier — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedConsensus-Based Optimization with Truncated Noise

4 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing math.APShow all

4 papers · 1 filter

math.AP2026

The nonlocal attraction-repulsion transport equation with power kernels

Massimo Fornasier, Hui Huang, Lukang Sun

We study a nonlocal continuity equation on Rd in which a probability density is driven by the competition between attraction toward a prescribed background measure ω…

math.AP2025

Large-Time Analysis of the Langevin Dynamics for Energies Fulfilling Polyak-Łojasiewicz Conditions

Massimo Fornasier, Lukang Sun, Rachel Ward

In this work, we take a step towards understanding overdamped Langevin dynamics for the minimization of a general class of objective functions L. We establish well-pose…

math.AP2025

Regularity and positivity of solutions of the Consensus-Based Optimization equation: unconditional global convergence

Massimo Fornasier, Lukang Sun

Introduced in {\it R. Pinnau, et al. (Math. Models Methods Appl. Sci., 2017)}, Consensus-Based Optimization (CBO) has rapidly emerged as a significant breakthrough in global optimi…

math.AP2024

A PDE Framework of Consensus-Based Optimization for Objectives with Multiple Global Minimizers

Massimo Fornasier, Lukang Sun

Consensus-based optimization (CBO) is an agent-based derivative-free method for non-smooth global optimization that has been introduced in 2017, leveraging a surprising interplay b…

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