PD EN MATEMÁTICAS

Impartido por la profesora Marta Nai Ruscone de la Universidad de Génova.

 Título 'Model Based Clustering'

 Abstract:

 A minicourse on Model Based Clustering, including Gaussian Mixture Models for Continuous Data, extensions for No Gaussian distributions and Mixture Models for Categorical and for Mixed Data. It will start from the very beginning with the aim of reaching some advanced topics in this area. The proposed approach will range from Statistical theory to the algorithms and their corresponding implementations in R. Students who attend this course are requested to bring their laptops with them.

El minicurso tendrá lugar los días 30 de junio y los días 2 y 3 de Julio en horario de 12:00 a 13:30.

Responsable: Agustín Mayo Íscar

La Fundación CIDAUT acoge, cada año, a estudiantes de distintos grados relacionados con las Matemáticas para la realización de prácticas (curriculares y extracurriculares), integrándolos en algunos de sus proyectos. En esta presentación el equipo de CIDAUT AI describirá los aspectos más destacados de su actividad, incidiendo en los proyectos existentes en la línea de investigación visión artificial y en cómo abordan desde el punto de vista matemático, estadístico, físico e informático, diferentes retos relacionados con el tratamiento y mejora de imagen con inteligencia artificial en entornos de conducción autónoma. Se presentarán también varios desafíos abiertos en la plataforma Kaggle con la intención de invitar a los alumnos a su participación en próximas fechas y también las prácticas de empresa, TFGs, TFMs y doctorados industriales que se ofertan en colaboración con el IMUVa. El acto contará con las intervenciones de

• Álvaro García (CIDAUT AI Team Manager)

• Paula Garrido (Graduada en Estadística)

• Juan Carlos Benito (Estudiante de Doctorado en Matemáticas)

Al finalizar el acto se servirá un café en las instalaciones del IMUVa, en el que estára todo el equipo CIDAUT AI para hablar con los interesados, aclarar dudas y contar experiencias de manera informal.

Interesados en matricularse escribir a
Santiago Encinas
santiago.encinas@uva.es

Herwig HAUSER. Faculty of Mathematics, University of Vienna
Outset: This course is designed for both students and (nonexpert) researchers who wish to see how apparently remote mathematical theories come together and interlace. It will be given in digital form via Zoom from October 5th, 2021, until January 25, 2022. Up to technical obstructions we plan to give the course on a transparent blackboard, the socalled lightboard, which allows the audience to simultaneously follow the handwriting and the lecturer from the front.
The trailer for this course can be found on
https://ucloud.univie.ac.at/index.php/s/7kJ9XemV0kzA3Yq
The prospective schedule is Tuesdays, from 5 pm till 6.30. The link to the online transmission will be distributed in due time. If you are potentially interested, please send an email to
herwig.hauser@univie.ac.at
or go to the course website
www.xxyyzz.cc
in order to receive updated information (you may unsubscribe at any moment). We will provide certificates of attendance and for exams. Most of the collaborating universities have agreed to recognize these diploma for their proper curricula.
Topic:
The problem of constructing normal forms and moduli spaces for various geometric objects goes back (at least, and among many others) to the Italian geometers (Enriques, Chisini, Severi, ...). A highlight was reached in the 1960 and 70ies when Deligne, Mumford and Knudsen constructed the moduli space of stable curves of genus g. These spectacular works had a huge impact, though the techniques from algebraic geometry they applied were quite challenging. In the course, we wish to offer a gentle and hopefully fascinating introduction to these results, restricting always to curves of genus zero, that is, transversal unions of projective lines P1. This case is already a rich source of ideas and techniques. Our method will be mostly elementary and based on geometric combinatorics: The theory of phylogenetic trees (finite graphs without cycles and no vertices of degree 2) will play a prominent role to analyze and understand the moduli spaces.

Curso general de formación en el ámbito de la Línea 2: Algebra conmutativa y Singularides. Métodos combinatorios, computacionales y topológicos. 

Conferencias organizadas por el Instituto de Investigación en Matemáticas de la Universidad de Valladolid (IMUVA).

Prof. Thi Viet An Duong (Thai Nguyen University of Sciences, Vietnam).

Seminario IMUVA. Edificio LUCIA

Time table:

• 26.11.2019. 18:30-20:30. First sesion
• 27.11.2019. 17:30-19:30. Second sesion

Abstract:

Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and practical applications. It is now being taught at many universities and being used by researchers of different fields. As convex analysis is the mathematical foundation for convex optimization, having deep knowledge of convex analysis helps students and researchers apply its tools more effectively. The main goal of this course is to provide an easy access to the most fundamental parts of convex analysis and its applications to optimization. Modern techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and build the theory of generalized differentiation for convex functions and sets in finite dimensions. Of course, we do not expect to touch every aspect of convex analysis, but the course consists of sufficient material for a first one on this subject. It can also serve as supplemental reading material for a course on convex optimization and applications

Mass Transportation Theory.Openning perspectives in Statistics, Probability and Computer Science. 

The workshop “Mass Transportation Theory: Opening perspectives in Statistics, Probability and Computer Science” will be held at the IMUVA facilities in Valladolid, Spain. The workshop will include two short courses (5 hours each) to be given by leading research experts on the field. A second scientific activity will consist of plenary conferences covering the main methodological challenges and achievements of the Mass Transportation Theory from several points of view, notably those related to Statistics, Probability and Computer Science. The workshop will include, as well, oral contributions to be selected from proposals by young researchers interested in the topic. The number of participants is limited to 40.