Random Hyperbolic 3-Manifolds
Explore random hyperbolic 3-manifolds through an in-depth mathematical conference talk, delving into advanced geometric concepts and probabilistic approaches.
Crossing the Line: From Graphs to Curves
Explore the intersection of probability and geometry in non-Euclidean spaces through Hugo Parlier's insightful conference talk on graphs and curves.
Hyperbolic Voronoi Percolation
Explore hyperbolic Voronoi percolation in this mathematical conference talk. Gain insights into non-Euclidean geometry and probability theory from expert Tobias Müller.
Tail Bounds for Detection Times in Mobile Hyperbolic Graphs
Explore tail bounds for detection times in mobile hyperbolic graphs. Gain insights into probability and geometry in non-Euclidean spaces through this mathematical conference talk.
Combinatorial Maps and Hyperbolic Surfaces in High Genus
Explore combinatorial maps and hyperbolic surfaces in high genus through Baptiste Louf's insightful conference talk, delving into advanced mathematical concepts and their applications.
Geometry of Large Genus Flat Surfaces
Explorez la géométrie des surfaces plates de grand genre avec Elise Goujard, examinant leurs propriétés et implications mathématiques fascinantes.
Irreducibility of Random Polynomials
Explore irreducibility of random polynomials in this advanced mathematical lecture, delving into probability theory and algebraic concepts.
Integration on Grassmannians and Deformed Monotone Hurwitz Numbers
Explore integration on Grassmannians and deformed monotone Hurwitz numbers in this advanced mathematical lecture by Norman Do, delving into complex geometric and probabilistic concepts.
Branching Random Walks and Martin Boundaries - Properties and Examples
Explore properties and examples of branching random walks and Martin boundaries in non-Euclidean spaces through an in-depth mathematical analysis.
The Geometry of Random Genus-0 Hyperbolic Surfaces via Trees
Explore the geometry of random genus-0 hyperbolic surfaces through tree structures in this advanced mathematical lecture by Timothy Budd.
Score Matching and Sub-Riemannian Bridges
Explore score matching and sub-Riemannian bridges in geometric statistics and shape analysis through an expert's perspective.
On the Spread of an Infection in a Host Population Distributed on Z - Lecture
Explore mathematical models of infection spread in host populations distributed on Z, focusing on stochastic processes in evolutionary biology.
Classification of von Neumann Algebras - Rothschild Lecture
Explore the dichotomy between amenability and non-amenability in von Neumann algebras, examining classification, rigidity theorems, and applications to group theory and probability spaces.
From Small Data to Big Data and Back: Statistics and Data Science - Rothschild Lecture
Explore the evolution of statistics from small to big data, examining key issues in modern data analysis and their impact on computational methods and predictive modeling.
Admitting Uncertainty: On the Role of Probability in Finance - Rothschild Lecture
Explore the role of probability in finance, focusing on model uncertainty and its impact on risk assessment. Gain insights into advanced probabilistic methods and their implications for the financial industry.
Non-Local Differential Operators in Probability - Kirk Lecture
Explore non-local differential operators in probability theory, focusing on fractional-order operators and their applications in stochastic processes, anomalous diffusions, and renewal theory.
From Quantum Entanglement to Future Data-Driven Engineering - Rothschild Lecture
Explore high-dimensional Bayesian statistics in engineering, focusing on efficient data-physical model integration and uncertainty quantification. Learn about multilevel MCMC and measure-transport approaches.
Uncertainty Quantification for Bayesian Inverse Problems - Efficient Methods in the Small Noise Regime
Explore efficient methods for uncertainty quantification in Bayesian inverse problems, focusing on small noise regimes and data-driven engineering applications.
Random Generation of Finite Simple Groups
Explore random generation techniques for finite simple groups, delving into advanced group theory concepts and their applications.
Snake Modules, Extended T Systems and Correlation Functions for Higher Rank
Explore integrability in condensed matter physics and quantum field theory, focusing on snake modules, extended T systems, and correlation functions for higher rank systems.
Data to Differential Equations: Discovering Mathematical Models for Biological Systems
Explore data-driven techniques for discovering governing equations in complex biological systems, focusing on PDEs and innovative mathematical methods for modeling phenomena like arterial flow and tissue fracture.