Random Quadratic Form on a Sphere: Synchronization by Common Noise
Fuente:
arXiv
Saved in:
| Main Authors: | Engel, Maximilian, Shalova, Anna |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
by: Chemnitz, Dennis, et al.
Published: (2024)
by: Chemnitz, Dennis, et al.
Published: (2024)
Positive Lyapunov Exponent in the Hopf Normal Form with Additive Noise
by: Chemnitz, Dennis, et al.
Published: (2022)
by: Chemnitz, Dennis, et al.
Published: (2022)
Geometric regularization of autoencoders via observed stochastic dynamics
by: Hill, Sean, et al.
Published: (2026)
by: Hill, Sean, et al.
Published: (2026)
The Minary Primitive of Computational Autopoiesis
by: Connor, Daniel, et al.
Published: (2026)
by: Connor, Daniel, et al.
Published: (2026)
A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
by: Tang, Jingqiao, et al.
Published: (2026)
by: Tang, Jingqiao, et al.
Published: (2026)
Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks
by: Kogler, Constantin, et al.
Published: (2026)
by: Kogler, Constantin, et al.
Published: (2026)
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
by: Winkler, Ludwig, et al.
Published: (2024)
by: Winkler, Ludwig, et al.
Published: (2024)
Residual connections provably mitigate oversmoothing in graph neural networks
by: Chen, Ziang, et al.
Published: (2025)
by: Chen, Ziang, et al.
Published: (2025)
Divergence-kernel method for linear responses of densities and generative models
by: Ni, Angxiu
Published: (2025)
by: Ni, Angxiu
Published: (2025)
When and how can inexact generative models still sample from the data manifold?
by: Chandramoorthy, Nisha, et al.
Published: (2025)
by: Chandramoorthy, Nisha, et al.
Published: (2025)
Singular-limit analysis of gradient descent with noise injection
by: Shalova, Anna, et al.
Published: (2024)
by: Shalova, Anna, et al.
Published: (2024)
Synchronization by degenerate noise
by: Liu, Xianming, et al.
Published: (2025)
by: Liu, Xianming, et al.
Published: (2025)
Synchronization for the Rough Kuramoto Model
by: Neamtu, Alexandra Blessing, et al.
Published: (2026)
by: Neamtu, Alexandra Blessing, et al.
Published: (2026)
Dynamic System of Neurons on a Complete Graph: Synchronization
by: Pirogov, S. A., et al.
Published: (2025)
by: Pirogov, S. A., et al.
Published: (2025)
How to Tame Your LLM: Semantic Collapse in Continuous Systems
by: Wyss, C. M.
Published: (2025)
by: Wyss, C. M.
Published: (2025)
The Mean-Field Dynamics of Transformers
by: Rigollet, Philippe
Published: (2025)
by: Rigollet, Philippe
Published: (2025)
Data-driven approximation of transfer operators for mean-field stochastic differential equations
by: Ioannou, Eirini, et al.
Published: (2025)
by: Ioannou, Eirini, et al.
Published: (2025)
A Dynamics-Informed Gaussian Process Framework for 2D Stochastic Navier-Stokes via Quasi-Gaussianity
by: Hamzi, Boumediene, et al.
Published: (2025)
by: Hamzi, Boumediene, et al.
Published: (2025)
Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs
by: Krach, Florian, et al.
Published: (2024)
by: Krach, Florian, et al.
Published: (2024)
Evaluating the design space of diffusion-based generative models
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024)
by: Sun, Jingtong, et al.
Published: (2024)
Synchronization of stochastic dissipative differential equation driven by fractional Brownian motions
by: Cao, Qiyong, et al.
Published: (2025)
by: Cao, Qiyong, et al.
Published: (2025)
Synchronization in random networks of identical phase oscillators: A graphon approach
by: Nagpal, Shriya V., et al.
Published: (2024)
by: Nagpal, Shriya V., et al.
Published: (2024)
Noise stability on hyperbolic groups
by: Bénard, Timothée, et al.
Published: (2025)
by: Bénard, Timothée, et al.
Published: (2025)
Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application
by: Botvinick-Greenhouse, Jonah
Published: (2025)
by: Botvinick-Greenhouse, Jonah
Published: (2025)
A scalable generative model for dynamical system reconstruction from neuroimaging data
by: Volkmann, Eric, et al.
Published: (2024)
by: Volkmann, Eric, et al.
Published: (2024)
Tree-based Learning for High-Fidelity Prediction of Chaos
by: Giammarese, Adam, et al.
Published: (2024)
by: Giammarese, Adam, et al.
Published: (2024)
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
by: Boshoff, Septimus, et al.
Published: (2025)
by: Boshoff, Septimus, et al.
Published: (2025)
Data-driven model discovery with Kolmogorov-Arnold networks
by: Moradi, Mohammadamin, et al.
Published: (2024)
by: Moradi, Mohammadamin, et al.
Published: (2024)
On Hamiltonian Monte Carlo for Gaussian Random Variables with Random Hamiltonians
by: Lu, Yingdong, et al.
Published: (2026)
by: Lu, Yingdong, et al.
Published: (2026)
Minimum Reduced-Order Models via Causal Inference
by: Chen, Nan, et al.
Published: (2024)
by: Chen, Nan, et al.
Published: (2024)
Discovering Governing Equations in the Presence of Uncertainty
by: Olabiyi, Ridwan, et al.
Published: (2025)
by: Olabiyi, Ridwan, et al.
Published: (2025)
Random additive perturbation of a $k$ term recurrence relation
by: Jager, Lisette, et al.
Published: (2024)
by: Jager, Lisette, et al.
Published: (2024)
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
by: Malpica-Morales, Antonio, et al.
Published: (2024)
by: Malpica-Morales, Antonio, et al.
Published: (2024)
An analogue of Law of Iterated Logarithm for Heavy Tailed Random Variables
by: Dolgopyat, Dmitry, et al.
Published: (2023)
by: Dolgopyat, Dmitry, et al.
Published: (2023)
Random chemostats with competition and different kinetics to investigate the growth of the gut microbiome
by: López-de-la-Cruz, Javier, et al.
Published: (2026)
by: López-de-la-Cruz, Javier, et al.
Published: (2026)
Invariant Manifolds for Random Parabolic Evolution Equations with almost sectorial operators
by: Varzaneh, M. Ghani, et al.
Published: (2024)
by: Varzaneh, M. Ghani, et al.
Published: (2024)
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling
by: Galioto, Nicholas, et al.
Published: (2024)
by: Galioto, Nicholas, et al.
Published: (2024)
Fractional neural attention for efficient multiscale sequence processing
by: Qu, Cheng Kevin, et al.
Published: (2025)
by: Qu, Cheng Kevin, et al.
Published: (2025)
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation
by: Cai, Zhiqiang, et al.
Published: (2024)
by: Cai, Zhiqiang, et al.
Published: (2024)
Similar Items
-
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
by: Chemnitz, Dennis, et al.
Published: (2024) -
Positive Lyapunov Exponent in the Hopf Normal Form with Additive Noise
by: Chemnitz, Dennis, et al.
Published: (2022) -
Geometric regularization of autoencoders via observed stochastic dynamics
by: Hill, Sean, et al.
Published: (2026) -
The Minary Primitive of Computational Autopoiesis
by: Connor, Daniel, et al.
Published: (2026) -
A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
by: Tang, Jingqiao, et al.
Published: (2026)