no code implementations • 25 Apr 2024 • Juyong Lee, Taywon Min, Minyong An, Changyeon Kim, Kimin Lee
Developing autonomous agents for mobile devices can significantly enhance user interactions by offering increased efficiency and accessibility.
no code implementations • 14 Dec 2023 • Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
We propose a framework that leverages foundation models as teachers, guiding a reinforcement learning agent to acquire semantically meaningful behavior without human feedback.
1 code implementation • NeurIPS 2023 • Seunghyuk Cho, Juyong Lee, Dongwoo Kim
We propose a Gaussian manifold variational auto-encoder (GM-VAE) whose latent space consists of a set of Gaussian distributions.
1 code implementation • 31 Aug 2022 • Juyong Lee, Seokjun Ahn, Jaesik Park
We present a novel method of learning style-agnostic representation using both style transfer and adversarial learning in the reinforcement learning framework.
1 code implementation • 25 May 2022 • Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim
We present a rotated hyperbolic wrapped normal distribution (RoWN), a simple yet effective alteration of a hyperbolic wrapped normal distribution (HWN).
1 code implementation • 31 Aug 2021 • Juyong Lee, Seunghyuk Cho
Consistency training, which exploits both supervised and unsupervised learning with different augmentations on image, is an effective method of utilizing unlabeled data in semi-supervised learning (SSL) manner.
no code implementations • 30 Jun 2021 • Juyong Lee, Youngsang Cho
SARIMAX-ANN, SARIMAX-SVR, and SARIMAX-LSTM are used for the hybrid models.
1 code implementation • 30 Jan 2021 • JaeHwan Shim, Juyong Lee, Jaejun Yu
We present a new efficient transition pathway search method based on the least action principle and the Gaussian process regression method.
Bayesian Inference Computational Physics Statistical Mechanics