• Alexandra WOLF, RIKEN AIP, Tokyo, Japan
  • Ewa RATAJCZAK, Nicolaus Copernicus University, Toruń, Poland
  • Mihoko OTAKE-MATSUURA, Ikuko TSUMURA, and Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan
  • Tomasz KOMENDZIŃSKI and Bibianna BAŁAJ, Nicolaus Copernicus University, Toruń, Poland

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.

Opening of Second International Workshop on Complex Systems Science and Health Neuroscience
7:50~8:00 CEST Welcome Radosław SOJAK Dean of the Faculty of Philosophy and Social Science, Nicolaus Copernicus University, Toruń, Poland
Session #1: Social Interaction and Communication
8:00~8:20 CEST Conversation Assistive Technology: Face to Face, Dialogue System, and Remote Communication Mihoko OTAKE-MATSUURA RIKEN AIP, Tokyo, Japan
8:20~8:40 CEST Social and Cognitive Functions of Self-talk: Cross-cultural Research Arkadiusz GUT Nicolaus Copernicus University, Toruń, Poland
8:40~9:00 CEST Neural Mechanisms of How Cognition and Emotion are Modulated in Social Interactions Hikaru SUGIMOTO RIKEN AIP, Tokyo, Japan
9:00~9:20 CEST How Conversational Data Benefit Cognitive Intervention Research Takuya SEKIGUCHI RIKEN AIP, Tokyo, Japan
9:20~9:40 CEST Coffee Break
Session #2: Advances in Cognitive Diagnosis and Neurophysiological Assessment
9:40~10:00 CEST Mental Rotation in Cognitive Diagnosis Bibianna BAŁAJ Nicolaus Copernicus University, Toruń, Poland
10:00~10:20 CEST Eye-tracking Paradigm for the Assessment of Mild Cognitive Impairment Alexandra WOLF RIKEN AIP, Tokyo, Japan
10:20~10:40 CEST Recurrence Analysis of EEG Signals Włodzisław DUCH Nicolaus Copernicus University, Toruń, Poland
10:40~11:00 CEST EEG Neurodynamics of Heart Rate Variability Biofeedback Ewa RATAJCZAK Nicolaus Copernicus University, Toruń, Poland
11:00~11:20 CEST Coffee Break
Session #3: Innovations in Neurobiomarkers, Healthcare Neuroscience, and Rehabilitation
+ ‘Walking Through’ Place Perception: Understanding the Dynamics of Spatial Cognition
11:20~11:40 CEST Network Neuroscience Dementia Neurobiomarker with ML Support Tomasz M. RUTKOWSKI RIKEN AIP, Tokyo, Japan and Nicolaus Copernicus University, Toruń, Poland
11:40~12:00 CEST Health Neuroscience, Deep Medicine and CARES Project Tomasz KOMENDZIŃSKI Nicolaus Copernicus University, Toruń, Poland
12:00~12:20 CEST Brain-computer Interfaces-based Motor and Cognitive Rehabilitation Fabien LOTTE INRIA, Bordeaux Sud-Ouest, France
12:20~12:40 CEST From the Foot to the Brain Natalia PAWLACZYK & Bartłomiej KILJANEK Nicolaus Copernicus University, Toruń, Poland
12:40~14:00 Lunch Break
Poster Session
Poster size: A0 or smaller and in portrait orientation
14:00~15:00 CEST When Considering Higher Education in the Sciences, male and female students Place Emphasis on Different Factors; a Questionnaire Survey Reveals Atsushi TAKAHASHI & Ikuko TSUMURA RIKEN AIP, Tokyo, Japan
Continuous Learning in Both Medical and General Domains Lin GU RIKEN AIP, Tokyo, Japan
EEG Oscillatory Correlates of Aesthetic Experience Marc WELTER INRIA, Bordeaux Sud-Ouest, France
Predictive EEG Biomarkers for Cognitive Impairment Kornkanok TRIPANPITAK RIKEN AIP, Tokyo, Japan
Improving Motor Imagery Detection with a BCI Based on Median Nerve Stimulations Sébastien RIMBERT INRIA, Bordeaux Sud-Ouest, France
Posters of MSc/PhD students TBA TBA
15:00~18:00 CEST Free Time for the Majority Elderly Care Project Discussion in Marshal's Office of the Kuyavian-Pomeranian Voivodeship in Toruń
18:30~20:30 CEST Evening City Sightseeing with a Tour Gude
Meeting at Nicolaus Copernicus Statue in Old Town Toruń (map link)

  • Masashi SUGIYAMA, RIKEN AIP and The University of Tokyo, Tokyo, Japan
  • Tomasz PIOTROWSKI, Nicolaus Copernicus University, Toruń, Poland
  • Marek GROCHOWSKI, Nicolaus Copernicus University, Toruń, Poland
  • Ikuko TSUMURA and Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan

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.

Opening of Workshop on Mathematical Foundations of Machine Learning
7:50~8:00 CEST Welcome Wojciech WYSOTA Vice-Rector for Research, Nicolaus Copernicus University, Toruń, Poland
Session 1
8:00~8:20 CEST Classifier Learning Using Multi-objective Optimization - Threats to Validity Michał WOŹNIAK Wrocław University of Science and Technology, Wrocław, Poland
8:20~8:40 CEST Convergence of Fixed Point Iterations of Positive Concave Mappings with Applications to Design of Machine Learning Algorithms Renato L. G. CAVALCANTE HHI Fraunhofer Institute, Berlin, Germany
8:40~9:00 CEST Fixed Points of Nonnegative Neural Networks Tomasz PIOTROWSKI Nicolaus Copernicus University, Toruń, Poland
9:00~9:20 CEST Coffee Break
Session 2
9:20~9:40 CEST Fisher-Rao Metric and Infinite-dimensional Divergences for Gaussian Processes Minh HA QUANG RIKEN AIP, Tokyo, Japan
9:40~10:00 CEST Efficient Machine Learning with Tensor Networks Qibin ZHAO RIKEN AIP, Tokyo, Japan
10:00~10:20 CEST Tensor Networks for CNN Compression Rafał ZDUNEK Wrocław University of Science and Technology, Wrocław, Poland
10:20~10:40 CEST Discovering Optimal Tensor Network Architectures: An Exploration of Tensor Network Structure Search (TN-SS) Chao LI RIKEN AIP, Tokyo, Japan
10:40~11:00 CEST Coffee Break
Session 3
11:00~11:20 CEST Explainable AI: Opportunities and Challenges Przemysław BIECEK Warsaw University of Technology, Warsaw, Poland
11:20~11:40 CEST Zero-waste Machine Learning Tomasz TRZCIŃSKI IDEAS NCBR, Warsaw, Poland and Warsaw University of Technology, Warsaw, Poland
11:40~12:00 CEST Towards Continuous Adaptation in Non-stationary Environments Zhen-Yu ZHANG RIKEN AIP, Tokyo, Japan
12:00~12:20 CEST Exploring the Fixed Points in Cone Mapping: Enhancements to Neural Network Applications Krzysztof RYKACZEWSKI Nicolaus Copernicus University, Toruń, Poland
12:20~13:20 CEST Lunch Break
Session 4
13:20~13:40 CEST Recent Advances in Reliable Machine Learning Masashi SUGIYAMA RIKEN AIP and The University of Tokyo, Tokyo, Japan
13:40~14:00 CEST Stable Gradient-based Hyperparameter Optimization Ryuichiro HATAYA RIKEN AIP, Tokyo, Japan
Poster Session
Poster size: A0 or smaller and in portrait orientation
14:00~15:00 CEST Coordination in Modular and Decentralized Neural Networks Yuwei SUN RIKEN AIP, Tokyo, Japan
Scalable Deep Equilibrium Models Mateusz GABOR Wrocław University of Science and Technology, Wrocław, Poland
Continual Learning Jędrzej KOZAL Wrocław University of Science and Technology, Wrocław, Poland
Categorification of Disentangled Representation Learning Yivan ZHANG RIKEN AIP, Tokyo, Japan
Robust Contrastive Learning and Its Applications Shue CHEN RIKEN AIP, Tokyo, Japan
Bandit Formulations for Hybrid Band Wireless Networks Sherief HASHIMA RIKEN AIP, Fukuoka, Japan
Robust Riemannian classifier for multimodal distribution of SPD matrices Maria Sayu YAMAMOTO Université Paris-Saclay, Paris, France
Speakers are also invited to present posters to supplement their work
15:30 CEST Nicolaus Copernicus University Presentations & “chatAIP + NCU”
+ BBQ at Copernican Integration Center of the Nicolaus Copernicus University (map link)

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.


  • programme.txt
  • Last modified: 2023/09/25 14:37
  • by marek