A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model

11 May 2025

Papers citing "A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model"

8 / 8 papers shown

Title
The emergence of clusters in self-attention dynamics Borjan Geshkovski Cyril Letrouit Yury Polyanskiy Philippe Rigollet 79 56 0 09 May 2023
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories Fei Lu Mauro Maggioni Sui Tang 56 45 0 30 Jul 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 100 175 0 23 Apr 2020
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics Kadierdan Kaheman J. Nathan Kutz Steven L. Brunton 60 268 0 05 Apr 2020
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 57 759 0 26 Oct 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 80 1,137 0 02 Aug 2017
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning Zhilin Zhang Bhaskar D. Rao 78 777 0 19 Feb 2011
On Krause's multi-agent consensus model with state-dependent connectivity (Extended version) V. Blondel Julien Hendrickx J. Tsitsiklis 125 445 0 13 Jul 2008