ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.07747
  4. Cited By
Solving non-linear Kolmogorov equations in large dimensions by using
  deep learning: a numerical comparison of discretization schemes

Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes

9 December 2020
Raffaele Marino
N. Macris
ArXivPDFHTML

Papers citing "Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes"

10 / 10 papers shown
Title
Deterministic versus stochastic dynamical classifiers: opposing random
  adversarial attacks with noise
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise
Lorenzo Chicchi
Duccio Fanelli
Diego Febbe
L. Buffoni
F. Patti
Lorenzo Giambagli
Raffele Marino
AAML
33
0
0
20 Sep 2024
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT
  Problem: Does the LLM Solve the Problem Itself or Call an External SAT
  Solver?
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?
Raffaele Marino
ReLM
LRM
26
2
0
17 Sep 2024
Learning in Wilson-Cowan model for metapopulation
Learning in Wilson-Cowan model for metapopulation
Raffaele Marino
L. Buffoni
Lorenzo Chicchi
F. Patti
Diego Febbe
Lorenzo Giambagli
Duccio Fanelli
33
1
0
24 Jun 2024
A Short Review on Novel Approaches for Maximum Clique Problem: from
  Classical algorithms to Graph Neural Networks and Quantum algorithms
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms
Raffaele Marino
L. Buffoni
Bogdan Zavalnij
GNN
40
5
0
13 Mar 2024
Engineered Ordinary Differential Equations as Classification Algorithm
  (EODECA): thorough characterization and testing
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
Raffaele Marino
L. Buffoni
Lorenzo Chicchi
Lorenzo Giambagli
Duccio Fanelli
29
1
0
22 Dec 2023
Complex Recurrent Spectral Network
Complex Recurrent Spectral Network
Lorenzo Chicchi
Lorenzo Giambagli
L. Buffoni
Raffaele Marino
Duccio Fanelli
29
6
0
12 Dec 2023
Stable Attractors for Neural networks classification via Ordinary
  Differential Equations (SA-nODE)
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)
Raffaele Marino
Lorenzo Giambagli
Lorenzo Chicchi
L. Buffoni
Duccio Fanelli
19
7
0
17 Nov 2023
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis
  dynamics in discrete optimization and inference problems
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
Maria Chiara Angelini
A. Cavaliere
Raffaele Marino
F. Ricci-Tersenghi
58
5
0
11 Sep 2023
Phase transitions in the mini-batch size for sparse and dense two-layer
  neural networks
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
Raffaele Marino
F. Ricci-Tersenghi
30
14
0
10 May 2023
Solving high-dimensional parabolic PDEs using the tensor train format
Solving high-dimensional parabolic PDEs using the tensor train format
Lorenz Richter
Leon Sallandt
Nikolas Nusken
9
49
0
23 Feb 2021
1