7:50~8:00 CEST | Welcome | Masashi SUGIYAMA and Tomasz PIOTROWSKI |
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 | Quantum Kernel Methods in Machine Learning | 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 | Warsaw University of Technology, Warsaw, Poland, and Jagiellonian University, Kraków, 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 |
14:00~14:00 CEST | Coordination in Modular and Decentralized Neural Networks | Yuwei SUN | RIKEN AIP, Tokyo, Japan |
Quasi-nonexpansive 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 |
Posters of MSc/PhD students | TBA | TBA |