
Explore advanced concepts in algebraic topology and differential geometry, focusing on derived higher Lie groupoids and their applications in Hamiltonian geometry.

Explore advanced concepts in differential geometry using C∞-rings, delving into theoretical foundations and applications in mathematical physics and algebraic geometry.

Explore non-positive curvature approaches for approximating conditional laws of Volterra processes in low dimensions, with applications in machine learning and dynamical systems.

Explore advanced concepts in combinatorial topological dynamics, focusing on machine learning applications and dynamical systems theory in this symposium presentation by Marian Mrozek.

Explore innovative techniques for creating data-driven reduced order models of forced systems, focusing on the application of invariant foliations in dynamical systems analysis.

Explore barriers in robust Koopman learning with Matthew Colbrook, examining challenges and advancements in machine learning for dynamical systems.

Explore the intersection of machine learning and dynamical systems with Igor Mezic, focusing on operator-based modeling approaches and their implications for complex system analysis.

Explore finite-dimensional approximations of push-forwards on locally analytic functionals in this advanced mathematical symposium presentation by Isao Ishikawa.

Explore statistical learning techniques for transfer operators and infinitesimal generators in dynamical systems, focusing on advanced mathematical concepts and applications.

Explore the intersection of random matrix theory and deep learning, focusing on graph structures and their implications for neural network performance and analysis.

Explore orbit hierarchies and long-term predictability in chaotic systems, uncovering insights into complex dynamical behaviors and their implications for machine learning.

Explore coarse-grained dynamics on graphs with John Harlim, delving into advanced machine learning techniques for dynamical systems analysis and modeling.

Explore measure transport and generative modeling through a dynamical systems lens, gaining insights into advanced machine learning concepts and their applications.

Explore the intersection of dynamical systems and deep generative modeling, uncovering innovative approaches for creating advanced AI models and understanding complex data patterns.

Explore the intersection of non-smooth dynamics and machine learning, uncovering innovative approaches to complex systems analysis and prediction.

Explore how mathematics can be viewed as a game, uncovering its playful nature and strategic aspects. Gain insights into problem-solving approaches and creative thinking in mathematical contexts.

Explore case studies in computational number theory, examining the interplay between computation and formalization in mathematical research and problem-solving.

Comprehensive trigonometry review for calculus: unit circle, radians, special triangles, trig functions, identities, and geometric proofs. Focuses on understanding concepts rather than memorization.

Discover the beauty of the Euler Product Formula, connecting sums over natural numbers to products over primes. Explore its proof, applications, and links to the Riemann Hypothesis.

Explore diverse phenomena through paper folding, from magic tricks to geometry, elasticity, origami, and medical devices. Discover the hidden potential of a simple sheet of paper.

Explore the fascinating world of knots and knotted vortices in this engaging public lecture by Louis Kauffman, delving into their mathematical and physical properties.