Seminar talk, Dept. of Mathematics, Drexel University, Philadelphia, PA, USA
This talk presents the Dilation Theory foundation behind our two papers: “Simple Cycle Reservoirs are Universal” and “Universality of Real Minimal Complexity Reservoir”.
Invited talk, Dept. of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, CN
This talk presents the material of two papers: “Simple Cycle Reservoirs are Universal” and “Universality of Real Minimal Complexity Reservoir”.
Conference proceedings talk, IEEE WCCI 2024: IJCNN Special Session: Reservoir Computing: Progress in Methods, Applications, and Implementations, Yokohama, JP
This is the presentation of a talk at IJCNN 2024 of the paper with the same title.
Workshop talk, Noahs Ark Lab, Huawei, Hong Kong
The talks presents Variational Autoencoders from the geometrical perspective.
Workshop talk, Machine Learning reading group (University of Birmingham), Birmingham, UK
The third and final talk of a series on introduction of Information Geometry. Descibes notions of Statistical manifold from the perspective of affine differential geometry.
Workshop talk, Machine Learning reading group (University of Birmingham), Birmingham, UK
The second talk of an introduction of Information Geometry. Discusses the computational aspects of affine differential geometry.
Workshop talk, Machine Learning reading group (University of Birmingham), Birmingham, UK
The first talk of an introduction of Information Geometry. Introduces the basic notions of Differential Geometry.
Workshop talk, U. Waterloo Computational Mathematics, Waterloo, CA
Analyzed method (by E. Hubert and G. Labahn) of solving multivariate polynomials by exploring the symmetry of the diagonal subgroup generated by linear group action.