:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pereira, Bernardo, Costa, Felipe Xavier, Rocha, Luís M.
Format:	Preprint
Published:	2026
Subjects:	Physics and Society Social and Information Networks General Topology 37N25 (Primary) 37B02, 93A99 (Secondary) H.4.0; I.6.8; G.1.6
Online Access:	https://arxiv.org/abs/2603.14564
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Learning Rules from Associative Networks Theory
by: Lotito, Daniele
Published: (2025)

Estimating Varying Parameters in Dynamical Systems: A Modular Framework Using Switch Detection, Optimization, and Sparse Regression
by: Harrison, Jamiree, et al.
Published: (2024)

PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems
by: Alexandrino, Duarte, et al.
Published: (2026)

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
by: Caspari, Adrian, et al.
Published: (2025)

On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
by: Roulet, Vincent, et al.
Published: (2022)

Data-driven discovery of polynomial ODEs with provably bounded solutions
by: Alcalde, Albert, et al.
Published: (2026)

Temperature and Competition: Drivers in the Ecological Dynamics of Aedes Mosquitoes and Dengue Spread
by: Chacón, Santiago Andrés Villamil, et al.
Published: (2025)

Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)

Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
by: Wendland, Jennifer, et al.
Published: (2026)

HRM-Agent: Training a recurrent reasoning model in dynamic environments using reinforcement learning
by: Dang, Long H, et al.
Published: (2025)

Ergodic Optimization for Open Expanding Multi-valued Topological Dynamical Systems
by: Jenkinson, Oliver, et al.
Published: (2025)

SODAs: Sparse Optimization for the Discovery of Differential and Algebraic Equations
by: Jayadharan, Manu, et al.
Published: (2025)

On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
by: Li, Zhong, et al.
Published: (2020)

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization
by: Costantini, Marina, et al.
Published: (2025)

A Formal Analysis of Iterated TDD
by: Ruparel, Hemil, et al.
Published: (2024)

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
by: Lau, Matthew, et al.
Published: (2023)

Stability properties of Minimal Gated Unit neural networks
by: De Carli, Stefano, et al.
Published: (2026)

Chaos-Free Networks are Stable Recurrent Neural Networks
by: De Carli, Stefano, et al.
Published: (2026)

Identifiability of causal graphs under nonadditive conditionally parametric causal models
by: Bodik, Juraj, et al.
Published: (2023)

Combining Moving Mass Actuators and Manoeuvring Models for Underwater Vehicles: A Lagrangian Approach
by: Rambech, Alexander B., et al.
Published: (2025)

Typical periodic optimization for dynamical systems: symbolic dynamics
by: Huang, Wen, et al.
Published: (2026)

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent
by: Aklan, Emre, et al.
Published: (2026)

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
by: Roulet, Vincent, et al.
Published: (2022)

Gradient descent provably escapes saddle points in the training of shallow ReLU networks
by: Cheridito, Patrick, et al.
Published: (2022)

On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
by: Wright, Craig Steven
Published: (2025)

Network-Driven Global Stability Analysis: SVIRS Epidemic Model
by: Barman, Madhab, et al.
Published: (2025)

Can Transformers overcome the lack of data in the simulation of history-dependent flows?
by: Urdeitx, P., et al.
Published: (2025)

The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases
by: Fulton, Richard, et al.
Published: (2024)

Velocity-Inferred Hamiltonian Neural Networks: Learning Energy-Conserving Dynamics from Position-Only Data
by: Xu, Ruichen, et al.
Published: (2025)

Rational Functions on the Projective Line from a Computational Viewpoint
by: Badr, Eslam, et al.
Published: (2025)

An Agent-based Model Simulation Approach to Demonstrate Effects of Aging Population and Social Service Policies on Pensions Fund and Its Long-term Socio-economic Consequences
by: Haji, Shayan Firouzian
Published: (2025)

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning
by: Ahmadi, Ehsan, et al.
Published: (2026)

Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)

FastGS: Training 3D Gaussian Splatting in 100 Seconds
by: Ren, Shiwei, et al.
Published: (2025)

SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding
by: Wen, Tianci, et al.
Published: (2025)

From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
by: Maoutsa, Dimitra
Published: (2025)

PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable Physics
by: Song, Chang-Yong, et al.
Published: (2025)

Mathematical Modeling of the Role of Imitation in Crime Dynamics
by: Gebrezabher, Zeray H., et al.
Published: (2024)

Massively Parallel Imitation Learning of Mouse Forelimb Musculoskeletal Reaching Dynamics
by: Leonardis, Eric, et al.
Published: (2025)

Pregnancy as a dynamical paradox: robustness, control and birth onset
by: Ferro, Giuseppe Maria, et al.
Published: (2024)