Search Results for author: Seyeon Kim

Found 5 papers, 4 papers with code

Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning

1 code implementation5 Aug 2024 Seyeon Kim, Joonhun Lee, Namhoon Cho, Sungjun Han, Wooseop Hwang

We introduce a novel framework for generalized Gaussian error modeling in deep reinforcement learning to enhance the flexibility of error distribution modeling by incorporating additional higher-order moment, particularly kurtosis, thereby improving the estimation and mitigation of data-dependent aleatoric uncertainty.

continuous-control Continuous Control +2

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs

1 code implementation16 Apr 2024 TaeHo Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha

Fine-tuning pre-trained large language models (LLMs) with limited hardware presents challenges due to GPU memory constraints.

Decoder

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation

no code implementations21 Feb 2024 Kihong Kim, Haneol Lee, JiHye Park, Seyeon Kim, Kwanghee Lee, Seungryong Kim, Jaejun Yoo

Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos.

Video Generation Video Reconstruction

Diffusion Model for Dense Matching

1 code implementation30 May 2023 Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term.

Denoising model

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