Byeongchan Kim

According to our database, Byeongchan Kim authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning.

Hyungkyu Kang, Byeongchan Kim, Min-hwan Oh

CoRR, May, 2026

Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards.

Deokgyu Yoon, Hyungkyu Kang, Joongkyu Lee, Byeongchan Kim, Gyungin Shin, Sungrae Park, Min-hwan Oh

CoRR, May, 2026

Peng's Q(λ) for Conservative Value Estimation in Offline Reinforcement Learning.

Byeongchan Kim, Min-hwan Oh

CoRR, May, 2026

RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings.

Byeongchan Kim, Arijit Sehanobish, Avinava Dubey, Min-hwan Oh, Krzysztof Choromanski

CoRR, May, 2026

2025

OD-SHIELD: Convolutional Autoencoder-Based Defense Against Adversarial Patch Attacks in Object Detection.

Byeongchan Kim, Heemin Kim, Minjung Kang, Hyunjee Nam, Sunghwan Park, Jaewoo Lee, Il-Youp Kwak

IEEE Access, 2025

EUGens: Efficient, Unified and General Dense Layers.

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Rahul Kidambi, Dongseok Shim, Kumar Avinava Dubey, Snigdha Chaturvedi, Min-hwan Oh, Krzysztof Marcin Choromanski

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Magnituder Layers for Implicit Neural Representations in 3D.

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Krzysztof Choromanski, Dongseok Shim, Avinava Dubey, Min-hwan Oh

CoRR, 2024

2023

LED-Display Defect Detection Based on YOLOv5 and Transformer.

Jinwoo Park, Jihun Bae, Jongeon Lim, Byeongchan Kim, Jongpil Jeong

IEEE Access, 2023

Model-based Offline Reinforcement Learning with Count-based Conservatism.

Byeongchan Kim, Min-hwan Oh

Proceedings of the International Conference on Machine Learning, 2023