Computational Topology-Neural Networks Meeting
Sevilla, November 8-10, 2023
Organizer: Grupo FQM-369 CIMAgroup
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This meeting would constitute the fourth in the series of meetings dedicated to this topic that we have been organizing since 2019. As has already happened in past sessions, the meeting will allow us to establish new contacts and consolidate existing ones, always with the idea of creating consortia to apply for future Horizon Europe projects.
Schedule
Schedule
Click on any slot on the calendar to display additional information such as title and abstract.
In addition to the workshop, you can attend the following IMUS seminars:
Ambrose Yim (2023-11-08, 10:00)
Sara Narteni (2023-11-09, 09:00)
Carles Casacuberta (2023-11-10,12:00)
Conference room
Conference room
Escuela Técnica Superior de Ingeniería Informática (ETSII)
de la Universidad de Sevilla
8th and 9th November: Salón de Grados (1st Floor)
10th November: Salón Multiusos (1st Floor)
Avda. Reina Mercedes, s/n. 41012 - Sevilla
Lunch
Lunch
Cafetería
Escuela Técnica Superior de Ingeniería Informática,
Universidad de Sevilla, 41012 Sevilla
Please, notice that it is a residence and not a hotel. The rooms are provided with towels and bed sheets. The room is cleaned just once a week. Breakfast is included and there are several nice restaurants and bars near the meeting place in Reina Mercedes Avenue and near the residence (around Real Betis Stadium).
Accomodation
Accomodation
Residencia Universitaria Rector Estanislao del Campo
Avda. Ctra. de su Eminencia, 2A
41013 Sevilla (España)
Organizing Committee:
Rocío González-Díaz (rogodi@us.es)
Eduardo Paluzo-Hidalgo (epaluzo@us.es)
Álvaro Torras-Casas (atorras@us.es)
Javier Perera-Lago (jperera@us.es)
María José Jiménez-Rodríguez (majiro@us.es)
External partners:
Matteo Rucco (Biocentis)
Sabah Jassim (University of Buckingham)
This workshop has been possible thanks to the support from:
Plan propio Universidad de Sevilla
Departamento Matemática Aplicada I
REXASI-PRO project (call HORIZON-CL4-2021-HUMAN-01-01, Grant agreement ID: 101070028-2).
Proyecto de Investigación Estatal TED2021-129438B-I00 (Topología Computacional para el ahorro de energía y la optimización de métodos de aprendizaje profundo para alcanzar soluciones verdes de Inteligencia Artificial).
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