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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:
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
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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