24 citations · 26 across the 7 of their papers we have counts for
4 papers · 1 filter
Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration
Youngmin Oh, Jinje Park, Taejin Paik
We introduce the first variance-aware algorithms for contextual dueling bandits that leverage shallow exploration strategies with neural networks for nonlinear utility approximatio…
M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling
Youngmin Oh, Jinje Park, Seunggeun Kim +3
Recent advancements in reinforcement learning (RL) for analog circuit optimization have demonstrated significant potential for improving sample efficiency and generalization across…
Deep learning based ECG segmentation for delineation of diverse arrhythmias
Chankyu Joung, Mijin Kim, Taejin Paik +9
Accurate delineation of key waveforms in an ECG is a critical step in extracting relevant features to support the diagnosis and treatment of heart conditions. Although deep learnin…
Invariant Representations of Embedded Simplicial Complexes
Taejin Paik
Analyzing embedded simplicial complexes, such as triangular meshes and graphs, is an important problem in many fields. We propose a new approach for analyzing embedded simplicial c…