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Dynamical and Ergodic Systems, State Space Models, Kalman Filtering, Data Assimiliation, Chaos Theory, Spontaneous Synchronization

books

articles

Random dynamical systems

Dynamical behavior of neural networks, chaos and fractal nature of their regimes of operation

Ergodicity

Model Predictive Control

System Identification

Data Assimilation

Spontaneous Synchronization

Linear Kalman filters and Extended Kalman Filters

Hidden Markov Models

Penrose tilings

State Space Models in Deep Learning

Mamba: Linear-Time Sequence Modeling with Selective State Spaces, A. Gu, T. Dao, CMU, 2023

Mamba: Can it replace Transformers? Vishal Rajput, Medium Jan 8, 2024

Why Mamba was rejected? Joe El Khoury, Medium, Feb 28, 2024

A Visual Guide to Mamba and State Space Models, Maarten Grootendorst, 2024

Mamba Explained, Kola Ayonrinde, The Gradient, March 2024

HiPPO: Recurrent Memory with Optimal Polynomial Projections, A. Gu et al, Stanford U., 2020

How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections, A. Gu et al, Stanford U., 2022

Hungry Hungry Hippos: Towards Language Modeling with State Space Models, D. Fu, T. Dao, 2023

Efficiently Modeling Long Sequences with Structured State Spaces, K. Goel, A. Gu et al, 2022

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers, A. Gu et al, 2021

Diagonal State Spaces are as Effective as Structured State Spaces, A. Gupta, A. Gu et al, 2022

medium

Modeling Dynamical Systems With Neural ODE: A Hands-on Guide

Reinforcement Learning for Physical Dynamical Systems: An Alternative Approach: Reintroducing genetic algorithms and comparing to neural networks, Robert Etter, 2024, Towards Data Science

youtube presentations

Workshop on Dynamical Processes on Complex Networks, May 13-17, 2024

Tiago Pereira: Emergent chaos in the Turing-Smale problem, Workshop on Dynamical Processes on Complex Networks, May 13-17, 2024

João Lizárraga: Active and chaotic swarmalators, Workshop on Dynamical Processes on Complex Networks, May 13-17, 2024

Thomas Peron: Synchronization in high dimensions: mean-field theory of vector spin models on networks with arbitrary degree distribution

Chaos Theory

Chaos theory and geometry: can they predict our world? Tim Palmer, The Royal Institution, 2023