Seonghwan Kim
Affiliations:- KAIST AI, Seoul, South Korea
According to our database1,
Seonghwan Kim
authored at least 5 papers
between 2022 and 2023.
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Bibliography
2023
A 2D Graph-Based Generative Approach For Exploring Transition States Using Diffusion Model.
CoRR, 2023
Predicting quantum chemical property with easy-to-obtain geometry via positional denoising.
CoRR, 2023
The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions.
IEEE Access, 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions.
CoRR, 2022