Seungyub Han

Orcid: 0009-0001-8704-8968

According to our database¹, Seungyub Han authored at least 9 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Policy-labeled Preference Learning: Is Preference Enough for RLHF?

[BibT_eX]

[DOI]

CoRR, May, 2025

Deterministic Uncertainty Estimation for Multi-Modal Regression With Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2025

2024

Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.

[BibT_eX]

[DOI]

CoRR, 2024

D2NAS: Efficient Neural Architecture Search With Performance Improvement and Model Size Reduction for Diverse Tasks.

[BibT_eX]

[DOI]

Jungeun Lee

Seungyub Han

Jungwoo Lee

IEEE Access, 2024

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Learning to Learn Unlearned Feature for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Convergence of Continual Learning with Adaptive Methods.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seungyub Han

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...