RIKEN AIP & NCU Workshops 2023
September 25-27, 2023
Nicolaus Copernicus University, Toruń, Poland
Venue
Nicolaus Copernicus University
Toruń, Poland
September 25 - Second International Workshop on Complex Systems Science and Health Neuroscience
Workshop chairs:
- Alexandra WOLF, RIKEN AIP, Tokyo, Japan
- Ewa RATAJCZAK, Nicolaus Copernicus University, Toruń, Poland
Workshop organizing committee:
- Mihoko OTAKE-MATSUURA, Ikuko TSUMURA, and Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan
- Tomasz KOMENDZIŃSKI and Bibianna BAŁAJ, Nicolaus Copernicus University, Toruń, Poland
Scope:
Complex systems science and health neuroscience are two interdisciplinary fields that aim to understand and analyze complex human health and well-being phenomena. This workshop will explore the intersection of these fields, highlighting their significance in advancing our understanding of the intricate dynamics of biological systems, neurological processes, and their implications for healthcare.
Presentations:
- “Eye-tracking Paradigm for the Assessment of Mild Cognitive Impairment” by Alexandra WOLF, RIKEN AIP, Tokyo, Japan
- “EEG Neurodynamics of Heart Rate Variability Biofeedback” by Ewa RATAJCZAK, Nicolaus Copernicus University, Toruń, Poland
- “Conversation Assistive Technology: Face to Face, Dialogue System, and Remote Communication” by Mihoko OTAKE-MATSUURA, RIKEN AIP, Tokyo, Japan
- “Essentialist and Anti-essentialist Places: Implications for Place Change and Place Perception” by Maria LEWICKA, Nicolaus Copernicus University, Toruń, Poland
- “Network Neuroscience Dementia Neurobiomarker with ML Support” by Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan, and Nicolaus Copernicus University, Toruń, Poland
- “Recurrence Analysis of EEG Signals” by Włodzisław DUCH, Nicolaus Copernicus University, Torun, Poland
- “Neural Mechanisms of How Cognition and Emotion are Modulated in Social Interactions” by Hikaru SUGIMOTO, RIKEN AIP, Tokyo, Japan
- “Mental Rotation in Cognitive Diagnosis” by Bibianna BAŁAJ, Nicolaus Copernicus University, Toruń, Poland
- “When Considering Higher Education in the Sciences, male and female students Place Emphasis on Different Factors; a Questionnaire Survey Reveals” by Atsushi TAKAHASHI and Ikuko TSUMURA, RIKEN AIP, Tokyo, Japan
- “Social and Cognitive Functions of Self-talk: Cross-cultural Research” by Arkadiusz GUT, Nicolaus Copernicus University, Toruń, Poland
- “How Conversational Data Benefit Cognitive Intervention Research” by Takuya SEKIGUCHI, RIKEN AIP, Tokyo, Japan
- “Health Neuroscience, Deep Medicine and CARES Project” by Tomasz KOMENDZIŃSKI, Nicolaus Copernicus University, Toruń, Poland
- “Predictive EEG Biomarkers for Cognitive Impairment” by Kornkanok TRIPANPITAK, RIKEN AIP, Tokyo, Japan
- “Brain-computer Interfaces-based Motor and Cognitive Rehabilitation” by Fabien LOTTE, INRIA, Bordeaux Sud-Ouest, France
- “Continuous Learning in Both Medical and General Domains” by Lin GU, RIKEN AIP, Tokyo, Japan
- “EEG Oscillatory Correlates of Aesthetic Experience” by Marc WELTER, INRIA. Bordeaux Sud-Ouest, France
- “From the Foot to the Brain” by Natalia Pawlaczyk & Bartłomiej Kiljanek, Nicolaus Copernicus University, Toruń, Poland
September 26 - Workshop on Mathematical Foundations of Machine Learning
Workshop chairs:
- Masashi SUGIYAMA, RIKEN AIP and The University of Tokyo, Tokyo, Japan
- Tomasz PIOTROWSKI, Nicolaus Copernicus University, Toruń, Poland
Workshop Organizing Committee:
- Marek GROCHOWSKI, Nicolaus Copernicus University, Toruń, Poland
- Ikuko TSUMURA and Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan
Scope:
The astounding performance and applicability of machine learning in an ever-increasing number of applications have not been paired with a sufficient understanding of its mathematical foundations, preventing it from application to critical fields where human safety and health are of interest. This workshop aims to present and discuss results laying firm mathematical foundations of design, implementation, and evaluation of machine learning algorithms using tools of linear algebra, functional analysis, probability theory, statistics, optimization, and information theory.
Agenda:
- “Recent Advances in Reliable Machine Learning” by Masashi SUGIYAMA, RIKEN AIP and The University of Tokyo, Tokyo, Japan
- “Fixed Points of Nonnegative Neural Networks” by Tomasz PIOTROWSKI, Nicolaus Copernicus University, Torun, Poland
- “Categorification of Disentangled Representation Learning” by Yivan ZHANG, RIKEN AIP, Tokyo, Japan
- “Convergence of Fixed Point Iterations of Positive Concave Mappings with Applications to Design of Machine Learning Algorithms” by Renato L. G. CAVALCANTE, HHI Fraunhofer Institute, Berlin, Germany
- “Coordination in Modular and Decentralized Neural Networks” by Yuwei SUN, RIKEN AIP, Tokyo, Japan
- “Discovering Optimal Tensor Network Architectures: An Exploration of Tensor Network Structure Search (TN-SS)“ by Chao LI, RIKEN AIP, Tokyo, Japan
- “Efficient Machine Learning with Tensor Networks” by Qibin ZHAO, RIKEN AIP, Tokyo, Japan
- “Quantum kernel methods in machine learning” by Minh HA QUANG, RIKEN AIP, Tokyo, Japan
- “Explainable AI” by Przemysław BIECEK, Warsw University of Technology, Warsaw, Poland
- “Stable Gradient-based Hyperparameter Optimization” by Ryuichiro HATAYA, RIKEN AIP, Tokyo, Japan
- “Quasi-nonexpansive Deep Equilibrium Models” by Mateusz GABOR, Wrocław University of Science and Technology, Wrocław, Poland
- “Exploring the Fixed Points in Cone Mapping: Enhancements to Neural Network Applications” by Krzysztof RYKACZEWSKI, Nicolaus Copernicus University, Toruń, Poland
- “Classifier Learning Using Multi-objective Optimization - Threats to Validity” by Michał WOŹNIAK, Wrocław University of Science and Technology, Wrocław, Poland
- “Tensor networks for CNN compression” by Rafał ZDUNEK, Wrocław University of Science and Technology, Wrocław, Poland
- “Towards Continuous Adaptation in Non-stationary Environments” by Zhen-Yu ZHANG, RIKEN AIP, Tokyo, Japan
- “Zero-waste machine learning” by Tomasz TRZCIŃSKI, Warsaw University of Technology, Warsaw, Poland, and Jagiellonian University, Kraków, Poland
- “Robust Contrastive Learning and Its Applications” by Shue CHEN, RIKEN AIP, Tokyo, Japan
- “Bandit Formulations for Hybrid Band Wireless Networks” by Sherief HASHIMA, RIKEN AIP, Fukuoka, Japan
September 27 - Lab Visits & Research Discussions at NCU
Scope:
To create new and boost ongoing collaborative projects between RIKEN AIP and the NCU researchers and students, we plan lab visits and research discussions on the last day of the RIKEN AIP & NCU Workshops 2023.