Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control
Explore NeuroMANCER, an open-source library for integrating machine learning with scientific computing, solving optimization problems, and creating differentiable models with physics-based constraints.
Vortex Reconnection in the 3D Critical Abelian Higgs Model
Explore vortex reconnection in 3D critical Abelian Higgs model, focusing on dynamics of nearly parallel vortex filaments and their collisions in particle physics.
Economic and Financial Networks: Models and Analysis - Class 3
Explore economic and financial network models and analysis techniques in this advanced lecture on nonlinear systems in socio-economic complexity.
Time Series Analysis - Class 4
Explore advanced time series analysis techniques in socio-economic complexity, focusing on nonlinear systems applications and cutting-edge research insights.
Economic and Financial Networks: Models and Analysis - Class 4
Explore advanced models and analysis techniques for economic and financial networks in this final session of a comprehensive series.
Kalman-Bucy Informed Neural Networks for System Identification
Combining physics-informed neural networks and Kalman filters to identify parameters in continuous-time systems with noisy measurements, improving model precision for complex systems.
Time Series Analysis - Class 3 of 4
Explore advanced time series analysis techniques for socio-economic complexity in this comprehensive lecture by Cristina Masoller.
Challenges and Opportunities for Integrating Physics-Knowledge in Machine Learning Strategies
Explore integrating physics knowledge into machine learning algorithms for improved generalization and physics-consistent predictions. Examine biases and strategies through a friction identification case study.
Cellular Cooperation in Cochlear Mechanics
Explore contrasting views of cochlear mechanics, including Hopf bifurcations and 3-D simulations, to understand nonlinear cochlear responses and their implications.
Dynamical Systems and Reservoir Computing - Lecture 2
Delve into dynamical systems and reservoir computing applications in climate networks, focusing on analysis methods, bifurcation behavior, and network characterizers for climate data organization.
Critical Shifts in Thinking for the Systems Age
Explore how modern software development requires fundamental shifts in thinking patterns, moving from mechanistic approaches to systems-based perspectives for creating resilient digital solutions.