6 papers
RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Subeen Lee, Siyeong Lee, Namil Kim +1
For 3D perception systems to operate reliably in real-world environments, they must remain robust to evolving sensor characteristics and changes in object taxonomies. However, exis…
Example-Based Concept Analysis Framework for Deep Weather Forecast Models
Soyeon Kim, Junho Choi, Subeen Lee +1
To improve the trustworthiness of an AI model, finding consistent, understandable representations of its inference process is essential. This understanding is particularly importan…
Explainable AI-Based Interface System for Weather Forecasting Model
Soyeon Kim, Junho Choi, Yeji Choi +6
Machine learning (ML) is becoming increasingly popular in meteorological decision-making. Although the literature on explainable artificial intelligence (XAI) is growing steadily,…
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han, Dahee Kwon, Gayoung Lee +2
Recent text-to-image generative models, particularly Stable Diffusion and its distilled variants, have achieved impressive fidelity and strong text-image alignment. However, their…
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
Artyom Stitsyuk, Jaesik Choi
In recent years, the application of transformer-based models in time-series forecasting has received significant attention. While often demonstrating promising results, the transfo…
Diverse Rare Sample Generation with Pretrained GANs
Subeen Lee, Jiyeon Han, Soyeon Kim +1
Deep generative models are proficient in generating realistic data but struggle with producing rare samples in low density regions due to their scarcity of training datasets and th…