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. 2311.00875
  4. Cited By
Learning Collective Behaviors from Observation
v1v2v3 (latest)

Learning Collective Behaviors from Observation

1 November 2023
Jinchao Feng
Ming Zhong
ArXiv (abs)PDFHTML

Papers citing "Learning Collective Behaviors from Observation"

14 / 14 papers shown
Title
Random Feature Models for Learning Interacting Dynamical Systems
Random Feature Models for Learning Interacting Dynamical Systems
Yuxuan Liu
S. McCalla
Hayden Schaeffer
82
12
0
11 Dec 2022
The LAN property for McKean-Vlasov models in a mean-field regime
The LAN property for McKean-Vlasov models in a mean-field regime
Laetitia Della Maestra
M. Hoffmann
56
22
0
12 May 2022
Learning Mean-Field Equations from Particle Data Using WSINDy
Learning Mean-Field Equations from Particle Data Using WSINDy
Daniel Messenger
David M. Bortz
64
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
44
1
0
26 Aug 2021
Identifiability of interaction kernels in mean-field equations of
  interacting particles
Identifiability of interaction kernels in mean-field equations of interacting particles
Quanjun Lang
Fei Lu
62
15
0
10 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
43
8
0
30 Jan 2021
Learning interaction kernels in mean-field equations of 1st-order
  systems of interacting particles
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles
Quanjun Lang
Fei Lu
48
22
0
29 Oct 2020
Weak SINDy For Partial Differential Equations
Weak SINDy For Partial Differential Equations
Daniel Messenger
David M. Bortz
68
178
0
06 Jul 2020
Explicit Estimation of Derivatives from Data and Differential Equations
  by Gaussian Process Regression
Explicit Estimation of Derivatives from Data and Differential Equations by Gaussian Process Regression
Hongqiao Wang
Xiang Zhou
23
15
0
13 Apr 2020
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification
  of Nonlinear Dynamics
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
Kadierdan Kaheman
J. Nathan Kutz
Steven L. Brunton
58
268
0
05 Apr 2020
Data-driven Discovery of Emergent Behaviors in Collective Dynamics
Data-driven Discovery of Emergent Behaviors in Collective Dynamics
Mauro Maggioni
Jason D Miller
Ming Zhong
40
24
0
23 Dec 2019
Learning Stochastic Differential Equations With Gaussian Processes
  Without Gradient Matching
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching
Çağatay Yıldız
Markus Heinonen
Jukka Intosalmi
Henrik Mannerstrom
Harri Lähdesmäki
DiffM
43
39
0
16 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
429
5,156
0
19 Jun 2018
Learning unknown ODE models with Gaussian processes
Learning unknown ODE models with Gaussian processes
Markus Heinonen
Çağatay Yıldız
Henrik Mannerstrom
Jukka Intosalmi
Harri Lähdesmäki
49
94
0
12 Mar 2018
1