KAIST & RIKEN-AIP Joint Workshop

2024/09/26(木)09:00 〜 2024/09/27(金)15:50 開催
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イベント内容

We will hold a joint workshop with Korea Advanced Institute of Science and Technology (KAIST) as follows;

Date and Time:
Sep. 26, 2024: 9:00 am - 18:00 pm (JST)
Sep. 27, 2024: 9:00 am - 15:50 pm (JST)
Venue: Online
Program:

Day1(Sep. 26)

9:00-9:15 Introduction to AI Activities in KAIST by Prof. Alice Oh (KAIST)

9:15-9:30 Introduction of RIKEN-AIP by Prof. Masashi Sugiyama (RIKEN AIP)

9:30-10:00 Seunghoon Hong (KAIST)
Title: How Many Labels Do We Need to Understand Pixels? Towards Few-Shot Generalist for Computer Vision and Beyond

10:00-10:30 Naoto Yokoya (RIKEN AIP)
Title: Large-Scale Semantic 3D Reconstruction from Single-View Remote Sensing Imagery

10:30-11:00 Break Time

11:00-11:30 Sang Wan Lee (KAIST)
Title: Interpreting the internal representations of human brains

11:30-12:00 Ichiro Takeuchi (RIKEN AIP)
Title: Statistical Test for Complex Machine Learning Models

12:00-14:00 Lunch Time

14:00-14:30 Hyungjun Kim (KAIST)
Title: TBA

14:30-15:00 Masashi Sugiyama (RIKEN AIP)
Title: Machine Learning from Imperfect Information

15:00-15:20 Edward Choi (KAIST)
Title: Towards the AI's Understanding of Multi-modal Medical Data

15:20-15:40 Thomas Moellenhoff (RIKEN AIP)
Title: Variational Learning is Effective for Large Deep Networks

15:40-16:00 Chulhee Yun (KAIST)
Title: Opening the Blackbox: How Does Neural Network Training Work?

16:00-16:30 Break Time

16:30-17:00 Sung-eui Yoon (KAIST)
Title: Intelligent Graphics, Vision and Robotics

17:00-17:30 Benjamin Heinzerling (RIKEN AIP)
Title: Interpreting the Internal Representations of Language Models

17:30-18:00 Juho Lee (KAIST)
Title: Towards scalable and flexible Bayesian deep learning

Day2(Sep. 27)

9:00-9:30 Juhan Nam (KAIST)
Title: Human-AI Music Ensemble

9:30-10:00 Mihoko Otake (RIKEN AIP)
Title: AI for Monitoring and Maintaing Cognitive Functions and Well-Being for Super Aged Society

10:00-10:20 Alice Oh (KAIST)
Title: Benchmarks for Multilingual Multicultural LLMs

10:20-10:50 Break Time

10:50-11:20 Jae-Gil Lee (KAIST)
Title: Robust continual learning

11:20-11:40 Stefano Massaroli (RIKEN AIP)
Title: The Algebraic Landscape of Efficient Deep Learning Architectures

11:40-12:00 Minhyuk Sung (KAIST)
Title: Visual Content Generation via Diffusion Model Distillation

12:00-14:00 Lunch Time

14:00-14:20 Yul HR Kang (KAIST)
Title: Probabilistic Representation in the Brain & AI

14:20-14:50 Joyce Jiyoung Whang (KAIST)
Title: Knowledge Graph Representation Learning with Multimodality, Structure, and Theoretical Grounds

14:50-15:20 Kazuyoshi Yoshii (RIKEN AIP)
Title: Deep Generative Modeling for Music Signal Analysis

15:20-15:50 Woo Chang Kim (KAIST)
Title: Neural stochastic optimization and its applications

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