31st Prediction Science Seminar
- Date
- December 5th, 2024 (Thu.) 10:30-12:00 (JST)
- Language
- Engish
- Place
- ADSP Meeting room in Nihonbashi or Online(zoom)
To join the seminar, please contact the Prediction Science Seminar Office: prediction-seminar[remove here]@ml.riken.jp
Program
| Time | Content | Speaker |
|---|---|---|
| 10:30-11:30 | Efficient and Robust Machine Learning with Tensor Networks | Dr. Qibin Zhao (Tensor Learning Team, AIP, RIKEN) |
| 11:30-12:00 | Discussion | - |
Abstract
Tensor Networks (TNs) are factorizations of high dimensional tensors into networks of many low-dimensional tensors, which have been studied in quantum physics, high-performance computing, and applied mathematics. In recent years, TNs have been increasingly investigated and applied to machine learning and signal processing, due to its significant advances in handling large-scale and high-dimensional problems, model compression in deep neural networks, and efficient computations for learning algorithms. This talk aims to present some recent progress of TNs technology applied to machine learning from perspectives of basic principle and algorithms, novel approaches in unsupervised learning, tensor completion, multi-model learning and various applications in DNN, CNN, RNN and etc.
Organizer
- Prediction Science Laboratory (RIKEN CPR)
- RIKEN Center for Biosystems Dynamics Research (BDR)
Co-organizer
- Data Assimilation Research Team (R-CCS)
- RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program
- Environmental Metabolic Analysis Research Team (RIKEN CSRS)
- Computational Climate Science Research Team (R-CCS)
- Medical Data Deep Learning Team (R-IH)
- Medical Data Mathematical Reasoning Team (R-IH)
- Laboratory for Physical Biology (RIKEN BDR)