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Learning Theory for Inferring Interaction Kernels in Second-Order
  Interacting Agent Systems

Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems

8 October 2020
Jason D Miller
Sui Tang
Ming Zhong
Mauro Maggioni
ArXivPDFHTML

Papers citing "Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems"

14 / 14 papers shown
Title
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
Jinchao Feng
Sui Tang
26
0
0
11 May 2025
Identification of Mean-Field Dynamics using Transformers
Identification of Mean-Field Dynamics using Transformers
Shiba Biswal
Karthik Elamvazhuthi
Rishi Sonthalia
AI4CE
27
1
0
06 Oct 2024
Data-Driven Model Selections of Second-Order Particle Dynamics via
  Integrating Gaussian Processes with Low-Dimensional Interacting Structures
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures
Jinchao Feng
Charles Kulick
Sui Tang
29
2
0
01 Nov 2023
Learning Collective Behaviors from Observation
Learning Collective Behaviors from Observation
Jinchao Feng
Ming Zhong
16
2
0
01 Nov 2023
On the Identifiablility of Nonlocal Interaction Kernels in First-Order
  Systems of Interacting Particles on Riemannian Manifolds
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds
Sui Tang
Malik Tuerkoen
Hanming Zhou
35
4
0
21 May 2023
Random Feature Models for Learning Interacting Dynamical Systems
Random Feature Models for Learning Interacting Dynamical Systems
Yuxuan Liu
S. McCalla
Hayden Schaeffer
26
12
0
11 Dec 2022
Learning Interaction Variables and Kernels from Observations of
  Agent-Based Systems
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Jinchao Feng
Mauro Maggioni
Patrick J. Martin
Ming Zhong
12
5
0
04 Aug 2022
Learning Mean-Field Equations from Particle Data Using WSINDy
Learning Mean-Field Equations from Particle Data Using WSINDy
Daniel Messenger
David M. Bortz
27
37
0
14 Oct 2021
Machine Learning for Discovering Effective Interaction Kernels between
  Celestial Bodies from Ephemerides
Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides
Ming Zhong
Jason D Miller
Mauro Maggioni
22
1
0
26 Aug 2021
Learning particle swarming models from data with Gaussian processes
Learning particle swarming models from data with Gaussian processes
Jinchao Feng
Charles Kulick
Yunxiang Ren
Sui Tang
26
5
0
04 Jun 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Mauro Maggioni
Jason D Miller
H. Qui
Ming Zhong
11
8
0
30 Jan 2021
On the coercivity condition in the learning of interacting particle
  systems
On the coercivity condition in the learning of interacting particle systems
Zhongyan Li
Fei Lu
14
4
0
20 Nov 2020
Maximum likelihood estimation of potential energy in interacting
  particle systems from single-trajectory data
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Xiaohui Chen
28
25
0
21 Jul 2020
On Krause's multi-agent consensus model with state-dependent
  connectivity (Extended version)
On Krause's multi-agent consensus model with state-dependent connectivity (Extended version)
V. Blondel
Julien Hendrickx
J. Tsitsiklis
90
444
0
13 Jul 2008
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