KAKENHI meeting 2023

Program

# Thursday (March 9th) Friday (March 10th)
:30 ! Live

Reception & Opening

:40
:50
9:00 ! Live

Taking Advantage of Belief Change Theory for Concept Learning

Nicolas Schwind

Talk 

:10
:20
:30
:40 ! Live

Multi-Source Transfer Learning using Attention-Based Fusion of Multiple CNN Models

Sota Moriyama

Talk 

:50
10:00 ! Live

Learning Programs by Analyzing Hypothesis Space and Learning Process

Takeru Isobe

Talk 

:10
:20 ! Live

Applying ASP Modulo Theories to Inductive Logic Programming

Rolf Morel

Talk 

:30
:40
:50
11:00 ! Live

Computing Stable Models Efficiently in Linear Algebraic Computation

Tuan Nguyen

Talk 

:10
:20
:30 ! Live

Lunch

:40
:50
12:00
:10
:20
:30
:40
:50
13:00
:10
:20
:30 ! Live

Supported model computation and unfounded set checking in vector spaces

Akihiro Takemura

Talk 

:40
:50
14:00 ! Live

Extracting Explainable Rulesets from Multinomial Classification Model Using Answer Set Programming

Masayuki Otani

Talk 

:10
:20 ! Live

Elucidating Cell Behavior under Radiation Using Machine Learning

Ryota Yakushiji

Talk 

:30 ! Live

Reception & Opening

:40
:50 ! Live

Learning Causal Network from Multivariate Time Series for Identifying Differential Equations of Dynamical Systems

Mitsuhiro Odaka

Talk 

15:00 ! Live

Openning Talk

Katsumi Inoue

Talk 

:10
:20 ! Live

Towards end-to-end ASP computation

Taisuke Sato

Talk 

! Live

Break

:30 ! Live

Latent Concept Bottleneck: Gradual Learning and Bottlenecking to Increase Robustness

Phua Yin

Talk 

:40
:50
16:00
:10 ! Live

Fanqing Xu

Xu Fanqing

Talk 

:20 ! Live

Break

:30 ! Live

Interior Semantics for Epistemic/Doxastic Logic

Satoshi Tojo

Talk 

:40 ! Live

Graph Neural Networks for SAT Solving

Koji Watanabe

Talk 

:50
17:00
:10 ! Live

Human Conditional Reasoning in Answer Set Programming

Chiaki Sakama

Talk 

! Live

A new feature of T-PRISM and a T-PRISM tutorial on Colaboratory

Ryosuke Kojima

Talk 

:20
:30
:40
:50
18:00 ! Live

Dinner

:10 ! Live

Dinner

:20
:30
:40
:50
19:00
:10
:20
:30 ! Live

Towards the Explainability in AI: Past, Present, and Future

Teeradaj Racharak

Talk 

:40
:50
20:00 ! Live

Night session - Discussion

:10 ! Live

Explainability of Session-based Recommender System for OTT Business Decision

Kotaro Okazaki

Talk 

:20
:30
:40
:50
21:00 ! Live

:10
:20
:30
:40
:50
Caption
Robust AI by Integration of KR and ML
Logic and Reasoning
Night Session
Logic and Computation for the Real World
Learning Programs and Equations from raw data
Integration of Neural Networks and Reasoning
Discussion
Break