Youngmin Oh

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration.
CoRR, June, 2025

100-112-Gb/s 1.6-Vppd PAM-8 Transmitters With High-Swing 3 + 1 Hybrid FFE Taps in 40-nm Technology.
IEEE J. Solid State Circuits, February, 2025

Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
A 100-Gb/s PAM-8 Transmitter With 3-Tap FFE and High-Swing Hybrid Driver in 40-nm CMOS Technology.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

A 28-Gb/s Single-Ended PAM-4 Receiver With T-Coil-Integrated Continuous-Time Linear Equalizer in 40-nm CMOS Technology.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling.
CoRR, 2024

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers.
CoRR, 2024

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning.
CoRR, 2024

CRONuS: Circuit Rapid Optimization with Neural Simulator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Analysis of Grounded Coplanar Waveguide (GCPW) for High-Speed Links Channel.
Proceedings of the 20th International SoC Design Conference, 2023

GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Model-augmented Prioritized Experience Replay.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Model-Augmented Q-learning.
CoRR, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Visual Question Answering over Scene Graph.
Proceedings of the First International Conference on Graph Computing, 2019

2018
Training Deep Neural Network in Limited Precision.
CoRR, 2018

2016
Optimal Schedules in Multitask Motor Learning.
Neural Comput., 2016


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