XAIENCE 2019

from Thursday, 7 November 2019 (08:00) to Friday, 8 November 2019 (20:00)
Seoul National University, College of Natural Sciences, Building 25-1 (국제회의실 (International Conference Hall))

        : Sessions
    /     : Talks
        : Breaks
7 Nov 2019
8 Nov 2019
AM
08:00 --- Registration and reception ---
09:00
Welcome remarks on the 1st XAIENCE conference - Hyung Do Kim (Seoul National University) (until 09:20) (국제회의실 (International Conference Hall))
09:00 Welcome remarks on the 1st XAIENCE Conference - Prof. Junho Lee (Seoul National University)   (국제회의실 (International Conference Hall))
09:20
Invited talks - Math & Stats 1 -Prof. Yongdai Kim (Seoul National University) (until 10:00) (국제회의실 (International Conference Hall))
09:20 Theoretical Advantages of Deep Neural Networks - Prof. Yongdai Kim (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
09:40 Projection onto Minkowski Sums with Application to Constrained Learning - Prof. Joong-Ho Won (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
10:00 --- Coffee break ---
10:20
Invited talks - Earth and Environmental Sciences 1 -Prof. Duk-jin Kim (Seoul National University) (until 11:50) (국제회의실 (International Conference Hall))
10:20 Lessons Learned from Running Interdisciplinary Computational Sciences Program for Undergraduate at Seoul National University on the Future of Scientific Computing Education - Prof. Sang-Mook Lee (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
10:50 Deep Learning for Sea Ice Classification and Ship Detection using Satellite Synthetic Aperture Radar - Prof. Duk-jin Kim (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
11:10 Deep learning for multi-year ENSO forecasts - Prof. Yoo-Geun Ham (Chonnam National University)   (국제회의실 (International Conference Hall))
Slides
11:30 AI Applications for Satellite-based Disaster Monitoring and Prediction - Prof. Jungho Im (UNIST)   (국제회의실 (International Conference Hall))
Slides
11:50 --- Lunch ---
08:00 --- Registration and reception ---
09:00
Invited talks - Biological sciences, Neurosciences -Prof. Junho Lee (Seoul National University) (until 09:40) (국제회의실 (International Conference Hall))
09:00 Connectome Project & Neuroscience with AI - Prof. Junho Lee (Seoul National University)   (국제회의실 (International Conference Hall))
09:20 Hoping for Better AI: Advice from the Brain - Prof. Inah Lee (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
09:40 --- Coffee break ---
10:00
Invited talks - Math & Stats 2 -Prof. Cheon Jung Hee (Seoul National University) (until 11:00) (국제회의실 (International Conference Hall))
10:00 데이터의 프라이버시를 보존하는 기계학습 (Safe Machine Learning toward Private AI) - Prof. Jung Hee Cheon (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
10:20 Quantum AI, Quantum Machine Learning - Prof. Dongpyo Chi (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
10:40 Harmonic Data Analysis for Shape and Centrality - Prof. Woong Kook (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
11:00
Invited talks - Earth and Environmental Sciences 2 -Prof. Duk-jin Kim (Seoul National University) (until 11:40) (국제회의실 (International Conference Hall))
11:00 Application of Artificial Intelligence techniques to Weather Forecasting - Prof. Jung-Hoon Kim (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
11:20 Clustering weather maps for high PM10 events in Seoul using Self Organization Maps - Prof. Seok-Woo Son (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
11:40 --- Lunch ---
PM
13:30
Invited talks - Chemistry 1 -Prof. Chaok Seok (Seoul National University) (until 14:30) (국제회의실 (International Conference Hall))
13:30 Prediction of Protein Structure and Interaction by Physics and Informatics - Prof. Chaok Seok (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
13:50 Discovering Novel Fluorescent Molecules by Combining Machine-learning and Global Optimization - Prof. Juyong Lee (Kangwon National University)   (국제회의실 (International Conference Hall))
Slides
14:10 Fleming : AI-driven Integrated Drug Discovery Platform - Dr Junsu Ko (© Arontier)   (국제회의실 (International Conference Hall))
Slides
14:30 --- Coffee break ---
14:50
Invited talks - Physics and Astronomy 1-1 -Dr Min-Su Shin (KASI) (until 15:30) (국제회의실 (International Conference Hall))
14:50 Application of Machine Learning for Big Data Analysis in Astronomy (천문학 자료분석에서의 기계학습의 활용) - Dr Min-Su Shin (KASI)   (국제회의실 (International Conference Hall))
Slides
15:10 Machine Learning In Astrophysics: Estimating Galactic Baryonic Properties from Their Dark Matter - Prof. Ji-hoon Kim (SNU)   (국제회의실 (International Conference Hall))
Slides
15:30 --- Coffee break ---
15:45
Invited talks - Physics and Astronomy 1-2 -Prof. Hyung Do Kim (Seoul National University) (until 17:15) (국제회의실 (International Conference Hall))
15:45 What Can We Learn with ML in Particle Physics, and How? - Prof. Sunghoon Jung (Seoul National University)   (국제회의실 (International Conference Hall))
16:05 Searching for Axions and new concepts in fundamental physics with Machine Learning - Dr Sven Krippendorf (Ludwig Maximilian University of Munich)   (국제회의실 (International Conference Hall))
16:35 Learning QCD Jet Flavors in search for Invisible Higgs Decays - Prof. Hyung Do Kim (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
16:55 Recent Developments of Deep Learning in Experimental High Energy Physics - Prof. Hwidong Yoo (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
17:15
Contributed talks 1 -Prof. Yongdai Kim (Seoul National University) (until 17:45) (국제회의실 (International Conference Hall))
17:15 On Casting Importance Weighted Autoencoder to an EM Algorithm to Learn Deep Generative Models - Dr Dongha Kim (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
17:30 Nonconvex Sparse Regularization For Deep Neural Networks and its Optimal Property - Mr Ilsang Ohn (Department of Statistics, Seoul National University)   (국제회의실 (International Conference Hall))
Slides
17:45 --- Banquet ---
13:00
Invited talks - Chemistry 2 -Prof. Chaok Seok (Seoul National University) (until 13:40) (국제회의실 (International Conference Hall))
13:00 Delfos: deep learning model for prediction of solvation free energies in generic organic solvents - Prof. YounJoun Jung (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
13:20 AI-based Smart Molecular Design - Prof. Woo Youn Kim (Chemistry, KAIST)   (국제회의실 (International Conference Hall))
Slides
13:40 --- Coffee break ---
14:00
Invited talks - Physics and Astronomy 2 -Dr Won Sang Cho (Seoul National University) (until 15:20) (국제회의실 (International Conference Hall))
14:00 Architecture of Neuromorphic Hardware with Embedded Learning - Prof. Doo Seok Jeong (Hanynag University)   (국제회의실 (International Conference Hall))
Slides
14:20 Information in Unsupervised Learning - Prof. Junghyo Jo (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
14:40 Exploration of energy surfaces and conformation of molecules and solids by utilizing a machine-learning technique - Prof. Jaejun Yu (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
15:00 Quantum Algorithms and Quantum Machine Learning - Dr Jeongho Bang (KIAS)   (국제회의실 (International Conference Hall))
Slides
15:20 --- Coffee break ---
15:40
Contributed talks 2 -Dr Won Sang Cho (Seoul National University) (until 16:55) (국제회의실 (International Conference Hall))
15:40 Probing Trilinear Higgs Self–coupling at the HL-LHC with Machine Learning - Prof. Jubin Park (Institute for Universe and Elementary Particles, Chonnam National University)   (국제회의실 (International Conference Hall))
Slides
15:55 Prediction and Taking Insight of Molecular Quantum Property by Random Forest Regression - Mr Beomchang Kang (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
16:10 Predicting location of suitable groundwater for brewing coffee using tree-based ensemble machine learning - Ms Hye-Lim Lee (School of Earth and Environmental Sciences, Seoul National University)   (국제회의실 (International Conference Hall))
Slides
16:25 Application of Neural Network Model to Predict and to Evaluate the Groundwater Level Fluctuation - Mr Sanghoon Lee (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
16:40 복소 산술 신경망을 통한 물리적 기계학습모형의 건설과 물리적 불변량의 추출 - Dr Won Sang Cho (Seoul National University)   (국제회의실 (International Conference Hall))
Slides
16:55
Concluding remarks (until 17:20) (국제회의실 (International Conference Hall))
16:55 Adjourn   (국제회의실 (International Conference Hall))