INI Seminar Room 2 Courses

Profinite Rational Stable Equivariant Homotopy Theory: Sheaves and Tensor-Triangulated Geometry

Delve into advanced concepts of profinite rational stable equivariant homotopy theory, exploring sheaves and tensor-triangulated geometry through expert mathematical analysis.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Fractional-Order Differentiation Meets Generalized Probabilities

Delve into advanced mathematical concepts connecting fractional-order differentiation with generalized probabilities through expert insights from Technical University of Kosice's research.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Supervised Graph Prediction: From Kernel to Optimal Transport Losses

Explore supervised graph prediction with Prof. Florence d'Alché-Buc, covering kernel and optimal transport losses in this mathematical sciences seminar at the Isaac Newton Institute.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Memorization and Regularization in Generative Diffusion Models

Explore the concepts of memorization and regularization in generative diffusion models with Professor Andrew Stuart from Caltech in this insightful seminar.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Predictive Evaluation of Extremes and Related Functionals

Explore predictive evaluation methods for extreme events and related statistical functionals with Professor Thordis Thorarinsdottir from the University of Oslo.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators

Explore the Kernel Trace Distance concept as a quantum statistical metric between measures through RKHS density operators in this mathematical seminar by Arturo Castellanos Salinas.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Chromatic Smith Theory for Group Actions on Finite Dimensional Complexes

Delve into chromatic Smith theory for group actions on finite dimensional complexes with Professor Nicholas Kuhn from the University of Virginia in this mathematical seminar.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows, Poincaré Normal Forms and PDE Simplification

Explore the intersection of machine learning, dynamical systems, and algorithmic information theory through sparse kernel flows, Poincaré normal forms, and PDE simplification in this mathematical sciences seminar.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Mean and PGA for Time Series: The Signature Method Answer

Explore the signature method as a solution for calculating mean and Principal Geodesic Analysis (PGA) for time series with Prof. Marianne Clausel's comprehensive mathematical approach.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Modelling Transmission Dynamics of Lassa Fever with Two Environmental Pathway Transmissions

Explore mathematical modeling of Lassa fever transmission dynamics through two environmental pathways in this seminar by Dr. Chinwendu Emilian Madubueze at the Isaac Newton Institute.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Bernstein-von Mises Theorem for the Scale Hyperparameter in Inverse Problems

Delve into the Bernstein-von Mises theorem for scale hyperparameters in inverse problems with Dr. Natalia Bochkina from the University of Edinburgh in this mathematical seminar.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Mean and PGA for Time Series: The Signature Method Answer

Discover how the signature method provides solutions for calculating mean and Principal Geodesic Analysis (PGA) for time series data in this mathematical seminar by Professor Marianne Clausel.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Classification of Finite Simple Groups as Big Mathematics

Explore the historical significance of the Classification of Finite Simple Groups theorem and its impact on modern mathematics through expert analysis and discussion.

• YouTube
• 2 hours 23 minutes
• Self-Paced
• Free Video

Memorization and Regularization in Generative Diffusion Models

Explore the mathematical foundations of generative diffusion models with Prof. Andrew Stuart, examining memorization and regularization techniques to understand their impact on model performance and data privacy.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

The Bernstein-von Mises Theorem for Semiparametric Mixture

Explore the Bernstein-von Mises theorem applied to semiparametric mixture models in this advanced mathematical statistics seminar by Dr. Stefan Franssen from CNRS.

• YouTube
• 57 minutes
• Self-Paced
• Free Video