Stability and Inference for Position-Dependent Langevin Diffusions
Explore stability and inference in position-dependent Langevin diffusions, combining statistical inference, computation, and physical laws for complex systems modeling across various scientific domains.
Stratification for Markov Chain Monte Carlo
Explore advanced Markov Chain Monte Carlo techniques, focusing on stratification methods for complex systems modeling and statistical inference in various scientific domains.
Learning Coarse-Grained Dynamics on Graphs
Explore coarse-grained dynamics on graphs with John Harlim, delving into advanced machine learning techniques for dynamical systems analysis and modeling.
From Micro to Macro in Collective Dynamics
Explore methods for modeling collective dynamics, from microscopic to macroscopic scales. Learn techniques for analyzing complex systems in various scientific fields.
Jane Hillston - Moment Analysis, Model Reduction and London Bike Sharing
Explore moment analysis and model reduction techniques for complex systems, with applications to London's bike-sharing system. Learn about PCTMCs, moment equations, and directed contribution graphs.
Neural Networks as Interacting Particle Systems
Explore neural networks as interacting particle systems, examining their mathematical foundations and applications in complex systems modeling across various scientific disciplines.
Universality Classes for 1+1 Dimensional Systems
Explore universality classes in 1+1 dimensional systems, focusing on weak universality conjecture, graphical construction, and links to Brownian web. Gain insights into complex systems modeling.
Modeling Multisector Dynamics to Inform Adaptive Pathways
Explore multisector dynamics research for understanding complex system interactions and informing adaptive strategies across technological, societal, natural, and managed sectors.
Continuum Attention for Neural Operators
Explore innovative Continuum Attention techniques for Neural Operators, enhancing machine learning applications in dynamical systems and expanding the field's capabilities.
Phase Transitions for Mean Field Limits of Noisy Interacting Agents
Explore phase transitions in mean field limits of noisy interacting agents, examining complex systems modeling and statistical approaches for accurate predictions in various scientific fields.
Coarse-Graining Stochastic Dynamics
Explore techniques for simplifying complex stochastic systems through coarse-graining, enabling practical computation and accurate prediction in various scientific fields.
Understanding the Geopolitical Structure of the USA
Explore statistical approaches for analyzing geopolitical structures in the USA, combining data analysis with complex systems modeling to uncover crucial features and patterns.
Learning Models by Making Them Interact
Explore new approaches to data-driven modeling of complex systems, combining statistical inference, high-throughput computation, and physical laws for more accurate predictions in various scientific fields.
JuliaSim Modeling Language: Composing Complex Systems with ModelingToolkit - JuliaCon 2024
Explore JuliaSim Modeling Language: a declarative approach for composing complex systems using ModelingToolkit, offering easier learning, better diagnostics, and enhanced model reasoning.