Rep4CS @CCS 2024
Welcome!
Representation Learning for Complex Systems (Rep4CS) is a satellite of the Conference of Complex Systems 2024 (CCS 2024) at the University of Exeter, England, from September 2 to 6.
Representation Learning for Complex Systems (Rep4CS) is a satellite of the Conference of Complex Systems 2024 (CCS 2024) at the University of Exeter, England, from September 2 to 6.
Satellite aim
The aim of this satellite event is to explore and understand the rise of advanced data representations, such as geometric and topological representations, that are revolutionizing the way we model and comprehend complex systems.
The practice of studying complex systems can be as complex as the systems themselves. Data about complex systems can be massive, relational, and heterogeneous, spanning numerical data, unstructured text, images, and more. Making sense of complex systems often requires reducing their data to convenient and meaningful representations. The emergent advanced data representations provide a fresh view on data and opens up new avenues for research and discovery.
We hope to see a wide range of researchers from different fields, from computer science and machine learning, network science to complex systems, come together and discuss the latest developments in the field of data representation and its applications as well as the challenges and opportunities that arise in the study of complex systems.
Program: September 2 2024
9:45 - 10:05: Opening
Organizers10:05 - 10:40: Invited Talk
Charting Complexity: Interactive Real-Time Visualizations of Large-Scale Networks and Embeddings with Helios-Web
Abstract
Filippi Nascimento Silva10:40 - 11:00: Contributed Talk
Beyond Pairwise Limits: Hypergraph Representation of Complex Interactions in the Human Musculoskeletal System
Abstract
Hiroko Yamano11:00 - 11:30: Coffee Break
11:30 - 12:05: Invited Talk
The Topological Dirac operator: theory and applications in Artificial Intelligence
Abstract
Ginestra Bianconi12:05 - 12:40: Invited Talk
Sample space dependence in random network models
Abstract
Harrison Hartle
12:40 - 13:00: Contributed Talk
If Vanilla Is Enough, Why Do We Need Chocolate And Strawberry? A Neapolitan Approach To Artificial Neural Networks
Abstract
Mario Franco
Important dates
Submission deadline for contributed talks: June 2, 2024 (23:59, AoE timezone). Extended to June 9, 2024 (23:59, AoE timezone)
Notification of acceptance: June 14, 2024
Satellite: September 2, 2024 (morning)
Call for contributions
We welcome submissions on any topic related to the representation of complex systems, including but not limited to:
Representation learning
Topological data analysis
Geometric data analysis
Visualization techniques and tools
Feature selection and extraction
Dimensionality reduction
Sparse coding
Submissions should be made as a single PDF file (2 pages max) via google form.
The participants will be invited to submit [journal] for free of charge. Interested authors can contact the Chairs.
Invited Speakers
Ginestra Bianconi
Professor @ Queen Mary University of London
Harrison Hartle
Santa Fe Institute
Filipi Nascimento Silva
Indiana University Bloomington
Organizers
Contact:
Please reach out us for inquiries about the conference.
Dakota Murray: d.murray@northeastern.edu
Sadamori Kojaku: skojaku@binghamton.edu