Conferences  >  Mathematics  >  Complex Networks

Select a location
ALL COUNTRIES (8)
1
CSS 2023 — Conference on Complex Systems 2023
16 Oct 2023 - 20 Oct 2023 • Salvador, Bahia, Brazil
Organizer:
Complex Systems Society (CSS)
Abstract:
As people learn to live with the SARS-CoV-2 virus, the way forward is increasingly being seen as a new normal. In this context that we have the pleasure of welcoming you to the next edition of the Conference on Complex Systems CCS2023 in Salvador da Bahia, Brazil. The CCS is the largest and most important annual meeting of the international complex systems community. It comes under the auspices of the Complex Systems Society and is organized by SENAI CIMATEC.
Event listing ID:
1551256
2
BIRS Workshop — Algorithmic Structures for Uncoordinated Communications and Statistical Inference in Exceedingly Large Spaces
10 Mar 2024 - 15 Mar 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559364
3
Analysis on fractals and networks, and applications
18 Mar 2024 - 22 Mar 2024 • Marseille , France
Organizer:
CIRM – Centre International de Rencontres Mathématiques
Abstract:
A clear emphasis will be put on theoretical and numerical methods oriented towards applications in engineering and the sciences. Experts from applied mathematics will report on potential industrial applications, prototypes, and – where possible – existing use cases.
Event listing ID:
1568709
4
BIRS Workshop — Analysis of Complex Data: Tensors, Networks and Dynamic Systems
12 May 2024 - 17 May 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559443
5
Mathematical and Statistical Tools for High Dimensional Data on Compressive Networks
26 May 2024 - 31 May 2024 • Oaxaca, Mexico
Organizer:
Casa Matemática Oaxaca (CMO)
Abstract:
Large-scale, high-dimensional data sets are becoming ubiquitous in modern society, particularly in the areas of physical, biomedical, and social applications. For example, in the problem of predicting thyroid malignancy from biopsy images, the images are typically about 150,000 by 100,000 dimensions, which limit the application of many existing methods. There is an urgent need for accurate and efficient mathematical and statistical tools for the analysis and engineering of high-dimensional data sets. The proposed 5-Day workshop will bring researchers from different disciplines to collaboratively address the foundational computational and theoretical challenges in high-dimensional data analysis. The workshop is designed around the simple question ``how to accurately and efficiently process large-scale data in 10+ dimensions’’. Invited participants will review existing mathematical and statistical tools for high dimensional data sets, including the Monte Carlo methods, randomized algorithms, dimension reduction, sparse grid, network analysis, and interpolation-based deep neural networks, and compare their performance and address their limitations. The invited participants will collaboratively address the current challenges in high-dimensional data analysis, and design new strategies by combining existing tools and by introducing new methodologies for problems in 10+ dimensions.
Event listing ID:
1576696
6
BIRS Workshop — Formation of Looping Networks - from Nature to Models
07 Jul 2024 - 12 Jul 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559577
7
BIRS Workshop — Causal Inference and Prediction for Network Data
18 Aug 2024 - 23 Aug 2024 • Banff, Alberta, Canada
Organizer:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559604
8
Detection, Estimation, and Reconstruction in Networks
21 Apr 2025 - 25 Apr 2025 • Berkeley, California, United States
Organizer:
Simons Laufer Mathematical Sciences Institute (SLMath)
Abstract:
In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.
Topics:
combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation
Event listing ID:
1571386


Conference-Service.com offers, as part of its business activities, a directory of upcoming scientific and technical meetings. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website. Always check with the meeting organiser before making arrangements to participate in an event!

No tracking | No pop-ups | No animations
Last updated: 19 September 2023