RIKEN AIP & NCU Workshops 2023

2023-09-20

RIKEN Center for Advanced Intelligence Project
& Nicolaus Copernicus University Workshops 2023

Nicolaus Copernicus University, Toruń, Poland, September 25~27, 2023

Institute of Psychology 39 Yuri Gagarin Street | Room 101

September 25, 2023
Second International Workshop on Complex Systems Science and Health Neuroscience

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.

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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

WORKSHOP CHAIRS: Alexandra WOLF & Ewa RATAJCZAK

7:50~8:00 Radosław SOJAK Welcome

Session #1: Social Interaction and Communication

8:00~8:20 Mihoko OTAKE-MATSUURA Conversation Assistive Technology: Face to Face, Dialogue System, and Remote Communication
8:20~8:40 Arkadiusz GUT Social and Cognitive Functions of Self-talk: Cross-cultural Research
8:40~9:00 Hikaru SUGIMOTO Neural Mechanisms of How Cognition and Emotion are Modulated in Social Interactions
9:00~9:20 Takuya SEKIGUCHI How Conversational Data Benefit Cognitive Intervention Research

Session #2: Advances in Cognitive Diagnosis and Neurophysiological Assessment

9:40~10:00 Bibianna BAŁAJ Mental Rotation in Cognitive Diagnosis
10:00~10:20 Alexandra WOLF Eye-tracking Paradigm for the Assessment of Mild Cognitive Impairment
10:20~10:40 Włodzisław DUCH Recurrence Analysis of EEG Signals
10:40~11:00 Ewa RATAJCZAK EEG Neurodynamics of Heart Rate Variability Biofeedback

Session #3: Innovations in Neurobiomarkers, Healthcare Neuroscience, and Rehabilitation + ‘Walking Through’ Place Perception: Understanding the Dynamics of Spatial Cognition

11:20~11:40 Tomasz M. RUTKOWSKI Network Neuroscience Dementia Neurobiomarker with ML Support
11:40~12:00 Tomasz KOMENDZIŃSKI Health Neuroscience, Deep Medicine and CARES Project
12:00~12:20 Fabien LOTTE Brain-computer Interfaces-based Motor and Cognitive Rehabilitation
12:20~12:40 Natalia PAWLACZYK & Bartłomiej KILJANEK From the Foot to the Brain

Poster Session 14:00~15:00

Atsushi TAKAHASHI & Ikuko TSUMURA When Considering Higher Education in the Sciences, male and female students Place Emphasis on Different Factors; a Questionnaire Survey Reveals
Lin GU Continuous Learning in Both Medical and General Domains
Marc WELTER EEG Oscillatory Correlates of Aesthetic Experience
Kornkanok TRIPANPITAK Predictive EEG Biomarkers for Cognitive Impairment
Sébastien RIMBERT Improving Motor Imagery Detection with a BCI Based on Median Nerve Stimulations

September 26, 2023
Workshop on Mathematical Foundations of Machine Learning

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.

Workshop Organizing Committee

Marek GROCHOWSKI, Nicolaus Copernicus University, Toruń, Poland
Ikuko TSUMURA and Tomasz M. RUTKOWSKI, RIKEN AIP, Tokyo, Japan

WORKSHOP CHAIRS: Masashi SUGIYAMA & Tomasz PIOTROWSKI

7:50~8:00 Wojciech WYSOTA Welcome

Session #1

8:00~8:20 Michał WOŹNIAK Classifier Learning Using Multi-objective Optimization - Threats to Validity
8:20~8:40 Renato L. G. CAVALCANTE Convergence of Fixed Point Iterations of Positive Concave Mappings with Applications to Design of Machine Learning Algorithms
8:40~9:00 Tomasz PIOTROWSKI Fixed Points of Nonnegative Neural Networks

Session #2

9:20~9:40 Minh HA QUANG Fisher-Rao Metric and Infinite-dimensional Divergences for Gaussian Processes
9:40~10:00 Qibin ZHAO Efficient Machine Learning with Tensor Networks
10:00~10:20 Rafał ZDUNEK Tensor Networks for CNN Compression
10:20~10:40 Chao LI Discovering Optimal Tensor Network Architectures: An Exploration of Tensor Network Structure Search (TN-SS)

Session #3

11:00~11:20 Przemysław BIECEK Explainable AI: Opportunities and Challenges
11:20~11:40 Tomasz TRZCIŃSKI Zero-waste Machine Learning
11:40~12:00 Zhen-Yu ZHANG Towards Continuous Adaptation in Non-stationary Environments
12:00~12:20 Krzysztof RYKACZEWSKI Exploring the Fixed Points in Cone Mapping: Enhancements to Neural Network Applications

Session #4

13:20~13:40 Masashi SUGIYAMA Recent Advances in Reliable Machine Learning
13:40~14:00 Ryuichiro HATAYA Stable Gradient-based Hyperparameter Optimization

Poster Session 14:00~15:00

Yuwei SUN Coordination in Modular and Decentralized Neural Networks
Mateusz GABOR Scalable Deep Equilibrium Models
Jędrzej KOZAL Continual Learning
Yivan ZHANG Categorification of Disentangled Representation Learning
Shue CHEN Robust Contrastive Learning and Its Applications
Sherief HASHIMA Bandit Formulations for Hybrid Band Wireless Networks
Maria Sayu YAMAMOTO Robust Riemannian classifier for multimodal distribution of SPD matrices

September 27, 2023
Lab Visits & Research Discussions at NCU

https://ai.umk.pl/

Andrzej Zykubek