Advances in 2D Holography - Lecture 1
Explore advanced concepts in 2D holography, including black hole thermodynamics, boundary conditions, and spatial slices in this comprehensive lecture.
The Space of Holographic CFTs - Lecture 5
Explore advanced concepts in holographic CFTs, focusing on the space of theories and their properties in this in-depth lecture series finale.
The Space of Holographic CFTs - Lecture 4
Explore holographic CFTs and their properties in this advanced theoretical physics lecture, delving into complex mathematical concepts and their applications.
The Space of Holographic CFTs - Lecture 3
Explore holographic CFTs and their properties in this advanced theoretical physics lecture, delving into complex mathematical concepts and their applications.
The Space of Holographic CFTs - Lecture 2
Explore holographic CFTs and their properties in this advanced theoretical physics lecture, part of a series delving into conformal field theory and AdS/CFT correspondence.
The Space of Holographic CFTs - Lecture 1
Explore holographic CFTs and their space, delving into advanced concepts in theoretical physics and string theory with expert guidance.
Rough Paths for Physicists - Lecture 4
Explore advanced concepts in rough path theory and its applications in physics, focusing on stochastic differential equations and path-dependent functionals.
From Combinatorial Maps to Correlation Functions in Loop Models
Explore combinatorial maps and their connection to correlation functions in loop models, delving into advanced mathematical concepts and their applications.
Hamiltonian Paths on Random Bicubic Maps and KPZ
Explore Hamiltonian paths on random bicubic maps and their connection to KPZ theory in this advanced mathematical lecture by Emmanuel Guitter.
Exactly Solvable 2D Conformal Field Theory - Lecture 3 Part 1
Explore advanced concepts in two-dimensional conformal field theory with a focus on exactly solvable models in this in-depth lecture recording.
Exactly Solvable 2D Conformal Field Theory - Lecture 3 Part 2
Explore advanced concepts in exactly solvable 2D conformal field theory, focusing on specific techniques and applications in theoretical physics.
BMS and All That - Lecture 1
Explore Brownian motion and stochastic processes in this comprehensive lecture, delving into mathematical foundations and applications in physics and finance.
Exactly Solvable 2D Conformal Field Theory - Lecture 1 of 6
Explore fundamental concepts and techniques of exactly solvable 2D conformal field theories in this comprehensive lecture series.
Bootstrapping the Long-Range Ising Model - 2024
Explore bootstrapping techniques for the long-range Ising model, examining its applications and implications in statistical physics and critical phenomena.
60 Years Beyond the Standard Model - From the Higgs Boson to the Future of Particle Physics
Explore 60 years of particle physics advancements, from the Higgs boson discovery to current frontiers in theoretical physics beyond the Standard Model.
Computational Quantum Many-Body Physics: A Few Highlights
Explore computational approaches in quantum many-body physics, focusing on key highlights and advancements in the field.
Eigenstate Thermalization in Quantum Many-Body Systems
Explore eigenstate thermalization in quantum many-body systems, delving into advanced concepts and their implications for statistical mechanics.
Integrability and Mathematical/Theoretical Physics
Explore integrability in mathematical and theoretical physics with Didina Serban, delving into advanced concepts and their applications in modern research.
String Theory: From the Landscape to the Swampland
Explore string theory's landscape and swampland concepts with Mariana Graña, delving into advanced theoretical physics and cosmology.
Statistical Physics of Optimal Transport
Explore statistical physics principles applied to optimal transport problems, unraveling complex systems through mathematical modeling and analysis.
Statistical Physics of Stochastic Gradient Descent
Explore statistical physics principles applied to stochastic gradient descent, uncovering insights into machine learning optimization techniques.