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researcher

D. Gomes

63 papers hereh-index 313.7k citations158 works total

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

author position
  • sole author1
  • first author37
  • middle author16
  • last author7

Across the 61 of 63 papers where every author was matched, so the position is known.

fields
  • math.AP44
  • math.OC7
  • math.DS5
  • math.NA4
  • gr-qc1
  • hep-th1
same name
  • D. Gomes — 6 papers, h 5
  • D. Gomes — 3 papers, h 7
  • D. Gomes — 3 papers, h 3
  • D. Gomes — 2 papers, h 0
  • D. Gomes — 1 paper, h 2
  • D. Gomes — 1 paper, h 6

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
20012023
most citedContinuous time finite state mean field games

137 citations · 323 across the 50 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

math.AP2022★ 1 cited

First-order mean-field games on networks and Wardrop equilibrium

Fatimah Al Saleh, Tigran Bakaryan, Diogo A. Gomes +1

Here, we examine the Wardrop equilibrium model on networks with flow-dependent costs and its connection with stationary mean-field games (MFG). In the first part of this paper, we…

math.NA2022★ 1 cited

The Potential Method For Price-Formation Models

Yuri Ashrafyan, Tigran Bakaryan, Diogo Gomes +1

We consider the mean-field game price formation model introduced by Gomes and Saúde. In this MFG model, agents trade a commodity whose supply can be deterministic or stochastic. Ag…

math.AP2022★ 1 cited

A Variational Approach For Price Formation Models In One Dimension

Yuri Ashrafyan, Tigran Bakaryan, Diogo Gomes +1

In this paper, we study a class of first-order mean-field games (MFGs) that model price formation. Using Poincar{é} Lemma, we eliminate one of the equations and obtain a variationa…

math.OC2022★ 1 cited

Machine Learning architectures for price formation models

Diogo Gomes, Julián Gutiérrez, Mathieu Laurière

Here, we study machine learning (ML) architectures to solve a mean-field games (MFGs) system arising in price formation models. We formulate a training process that relies on a min…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.