Energy landscape: Symmetric Interactions

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Related lectures (23)

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Attractor Networks and Generalizations

Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.

Martingales and Brownian Motion

Discusses convergence, martingales, Brownian motion, joint laws, testing procedures, and stop times.

Discrete-Time Stochastic Processes: Wiener Filter

Explores the Wiener filter for discrete-time stochastic processes and its applications.

Stochastic Models for Communications

Covers stochastic models for communications and the estimation of correlation functions.

Stochastic Analysis & Random Fields

Covers the outcomes of a virtual seminar on stochastic analysis.

Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity

Explores the concept of stationarity in continuous-time stochastic processes and its implications.

Linear Prediction and Estimation

Explores linear prediction, optimal filters, random signals, stationarity, autocorrelation, power spectral density, and Fourier transform in signal processing.

Stochastic Simulation: Variance Reduction Techniques

Covers stochastic simulation and variance reduction techniques, focusing on Courra variate and auxiliary distribution generation.

Flow Equations: Singular SPDEs and Quantum Field Theory

Covers recent research on singular SPDEs and their applications in quantum field theory.

Learning from the Interconnected World with Graphs

Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.