Bayesian Workflow
Learn Bayesian workflow techniques for probabilistic modeling, including prior specification, model checking, and posterior predictive checks.
Causal Machine Learning
Explore causal machine learning concepts and techniques with expert Fredrik D. Johansson in this comprehensive ProbAI lecture.
ME3255 - Verifying Implicit and Explicit Integration Methods for Tsiolkovsky Solution
Verify implicit and explicit integration methods for Tsiolkovsky solution, enhancing understanding of numerical techniques in aerospace applications.
Finite Difference and Euler Integration in Mechanical Engineering - Project 01
Learn finite difference methods and Euler integration techniques for solving differential equations in engineering applications.
ME3255 - Matrix Singular and Ill-Conditioned Errors
Explore matrix singular and ill-conditioned errors, focusing on condition and the Hilbert Matrix. Gain insights into numerical analysis challenges.
ME3255 - Shooting Method for ODE Solutions
Explore the shooting method for solving ODEs, enhancing your numerical analysis skills and problem-solving abilities in engineering applications.
Monte Carlo Methods
Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.
SDEs Are All You Need for Latent Variable Models
Explore stochastic differential equations for latent variable models, focusing on applications in probabilistic AI and machine learning.
Causal Inference - Lecture from Nordic Probabilistic AI School 2024
Explore causal inference principles, techniques, and applications in AI with expert Adele Ribeiro. Gain insights into probabilistic modeling and decision-making.
Bayesian Workflow
Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.
ME3255 - Define and Integrate Differential Equations
Define and integrate differential equations, exploring key concepts and techniques for solving various types of equations in mechanical engineering applications.
Monte Carlo Models for Pi Calculation and Buckling Structures - Lecture
Explore Monte Carlo methods for estimating pi and analyzing structural buckling, covering random number generation and statistical analysis techniques.
ME3255 - Euler Integration and Solving Numerical Problems
Explore Euler integration and numerical problem-solving techniques for engineering applications. Enhance computational skills and mathematical understanding.
Recent Developments in Constant Mean Curvature Hypersurfaces - Part I
Explore recent developments in constant mean curvature hypersurfaces, focusing on existence theory using min-max methods and discussing open problems in the field.
Spherical Plateau Problem and Applications in Geometric Analysis
Explore area minimization in Hilbert sphere quotients, entropy inequality, and stability results for Riemannian surfaces, with applications to hyperbolic geometry and eigenvalue bounds.
Currents on Metric Spaces and Intrinsic Flat Convergence
Explore Ambrosio-Kirchheim's Theory of Currents on Metric Spaces and delve into integral current spaces and intrinsic flat convergence, providing essential background for Antoine Song's talk.
Poetry, Drumming and Mathematics
Explore connections between poetry, drumming, and mathematics with Fields Medalist Manjul Bhargava. Discover surprising links between these seemingly disparate disciplines.
Self-Similar Solutions to Extension and Approximation Problems - Lecture
Explore self-similar solutions in extension and approximation problems, focusing on Lipschitz and Hölder maps with unique properties in higher dimensions.
Lipschitz Constant and Degree of Mappings in Riemannian Manifolds
Explore the relationship between Lipschitz constant and degree of mappings in Riemannian manifolds, focusing on recent developments and clever mapping techniques.
Schatten Properties for Noncommutative Martingale Paraproduct
Explore Schatten class memberships of d-adic martingale paraproducts in semi-commutative settings and characterize Sp-norms using transference methods.
Schatten Properties of Commutators on Quantum Tori
Explore Schatten properties of commutators on quantum tori, characterizing them through Besov spaces and extending to Calderon-Zygmund operators in noncommutative settings.