5 papers
CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning
Jaehoon Lee, Sunghyun Sim
Self-supervised learning (SSL) for time-series representation learning is dominated by two paradigms: contrastive methods, which face challenges in constructing positive or negativ…
Rewarding Structural Conformance of Reasoning using Process Mining
Yongjae Lee, Taekhyun Park, Sunghyun Sim +1
Recent advances in sparse reward policy gradient methods have enabled effective reinforcement learning (RL)-based language model post-training. However, for reasoning tasks such as…
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
Jaehoon Lee, Seungwoo Lee, Younghwi Kim +2
Time-series forecasting is fundamental in industrial domains like manufacturing and smart factories. As systems evolve toward automation, models must operate on edge devices (e.g.,…
Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design in Metaverse Content
Younghwi Kim, Dohee Kim, Seok Chan Jeong +1
The metaverse consists of hardware, software, and content, among which text design plays a critical role in enhancing user immersion and usability as a content element. However, in…
Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
Younghwi Kim, Dohee Kim, Joongrock Kim +1
Time series data is a key element of big data analytics, commonly found in domains such as finance, healthcare, climate forecasting, and transportation. In large scale real world s…