Mingyu Kim

Mingyu Kim

KAIST

H-index: 3

Asia-South Korea

About Mingyu Kim

Mingyu Kim, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at KAIST, specializes in the field of Bayesian Learning, Meta Learning, Exploration, Multi-agent reinforcement learning, Markov chain monte carlo.

His recent articles reflect a diverse array of research interests and contributions to the field:

Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs

PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences

The StarCraft multi-agent exploration challenges: Learning multi-stage tasks and environmental factors without precise reward functions

The StarCraft Multi-Agent Challenges+ : Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions

Neural Processes with Stochastic Attention: Paying more attention to the context dataset

Mingyu Kim Information

University

Position

PhD student at AI

Citations(all)

43

Citations(since 2020)

36

Cited By

21

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Mingyu Kim Skills & Research Interests

Bayesian Learning

Meta Learning

Exploration

Multi-agent reinforcement learning

Markov chain monte carlo

Top articles of Mingyu Kim

Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs

2023/12/15

Mingyu Kim
Mingyu Kim

H-Index: 2

Jun-Seong Kim
Jun-Seong Kim

H-Index: 4

PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences

Engineering Applications of Artificial Intelligence

2023/8/12

Mingyu Kim
Mingyu Kim

H-Index: 2

The StarCraft multi-agent exploration challenges: Learning multi-stage tasks and environmental factors without precise reward functions

IEEE Access

2023/4/12

The StarCraft Multi-Agent Challenges+ : Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions

2022/7/23

Neural Processes with Stochastic Attention: Paying more attention to the context dataset

arXiv preprint arXiv:2204.05449

2022/4/11

Mingyu Kim
Mingyu Kim

H-Index: 2

See List of Professors in Mingyu Kim University(KAIST)