Program
Time | Talk | Chair |
---|---|---|
10:00–10:10 |
Opening Remarks by Qibin Zhao
|
|
10:10–10:40 |
Title: TBD
(tentative) Speaker: Danilo Mandic (Imperial College London)
|
Mingyuan Bai |
10:40–11:10 |
Coffee Break & Poster Session
|
|
11:10–11:40 |
Title: Towards verifiable inference based on disentangled tensor manifold representation
Speaker: Liqing Zhang (Shanghai Jiao Tong University)
|
Andong Wang |
11:40–12:10 |
Title: TBD
Speaker: Toshihisa Tanaka (Tokyo University of Agriculture and Technology / RIKEN AIP)
|
|
12:10–13:30 |
Lunch (at venue)
|
|
13:30–14:00 |
Title: TBD
Speaker: Qibin Zhao (RIKEN AIP)
|
Yuning Qiu |
14:00–14:30 |
Title: Estimating LLM Uncertainty with Evidence
Speaker: Joey Tianyi Zhou (A*STAR)
|
|
14:30–15:00 |
Title: TBD
Speaker: Guoxu Zhou (Guangdong University of Technology)
|
|
15:00–15:30 |
Coffee Break & Poster Session
|
|
15:30–16:00 |
Title: TBD
Speaker: Tatsuya Yokota (Nagoya Institute of Technology / RIKEN AIP)
|
Zerui Tao |
16:00–16:30 |
Title: TBD
Speaker: Jingcai Guo (Hong Kong Polytechnic University)
|
|
16:30–17:00 |
Title: Some Developments in Density Ratio Estimation for Statistical Inference
Speaker: Delu Zeng (South China University of Technology)
|
|
17:00–17:30 |
Coffee Break & Poster Session
|
|
17:30–18:00 |
Title: The importance of low-dimensional data models for machine learning with incomplete or compressed data samples
Speaker: Cesar F. Caiafa (Instituto Argentino de Radioastronomía / RIKEN AIP)
|
Chao Li |
18:00–18:30 |
Title: TBD
Speaker: Zuozhu Liu (Zhejiang University)
|
|
18:30–19:00 |
Discussion: Future Directions in Tensor Research
|
Qibin Zhao |
19:00–21:00 |
Dinner (at venue)
|
Poster Presentation
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Poster #1Presenter: Qibin Zhao (RIKEN AIP)Title: TBD
-
Poster #2Presenter: Yuning Qiu (RIKEN AIP)Title: STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search
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Poster #3Presenter: Chao Li (RIKEN AIP)Title: Tensor Network Structure Search
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Poster #4Presenter: Guang Lin (RIKEN AIP)Title: Towards Trustworthy Machine Learning Under Adversarial Attacks
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Poster #5Presenter: Mingyuan Bai (RIKEN AIP)Title: When Large Generative Models Meet Adversarial Defense
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Poster #6Presenter: Zerui Tao (RIKEN AIP)Title: Tensor Decomposition Methods for Complex Data Structures and Learning Efficiency
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Poster #7Presenter: Shanglin Li (RIKEN AIP)Title: Source-free Unsupervised and Conditional Adaptation in EEG
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Poster #8Presenter: Xin Zhang (A*STAR)Title: Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
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Poster #9Presenter: Haonan Huang (RIKEN AIP)Title: Adversarial Robust Multi-view Learning
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Poster #10Presenter: Andong Wang (RIKEN AIP)Title:Towards a Geometric Understanding of Tensor Learning via the t-Product
Organizer
Tensor Learning Team, AIP, RIKEN
Homepage: https://qibinzhao.github.io/
Venue
Open space, RIKEN AIP
Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo
How to access: https://aip.riken.jp/access/