Seonghwan Kim

Affiliations:

KAIST AI, Seoul, South Korea

According to our database¹, Seonghwan Kim authored at least 9 papers between 2022 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Riemannian Denoising Score Matching for Molecular Structure Optimization with Accurate Energy.

[BibT_eX]

[DOI]

CoRR, 2024

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation.

[BibT_eX]

[DOI]

CoRR, 2024

Collective Variable Free Transition Path Sampling with Generative Flow Network.

[BibT_eX]

[DOI]

CoRR, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A 2D Graph-Based Generative Approach For Exploring Transition States Using Diffusion Model.

[BibT_eX]

[DOI]

Seonghwan Kim

Jeheon Woo

Woo Youn Kim

CoRR, 2023

Predicting quantum chemical property with easy-to-obtain geometry via positional denoising.

[BibT_eX]

[DOI]

CoRR, 2023

The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions.

[BibT_eX]

[DOI]

IEEE Access, 2023

GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Seonghwan Kim

Timeline

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