Hanseul Cho
PhD Student at OptiML Lab in KAIST AI. Working on ML/DL/Opt+Theory and LMs.
- ๐ Seoul, South Korea
- ๐ CV
- Github
- Google Scholar
- Semantic Scholar
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[Ph.D. Thesis Proposal] Unraveling and Overcoming Challenges in Machine Learning: Generalizability, Adaptability, and Multifacetedness
๐ค Hanseul Cho
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๐ Proposed for Ph.D. Candidacy Exam @ KAIST AI
[Paper Reading] Viewing Log-Depth Transformers via the Lens of Distributed Computing
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๐ Presented in OptiML Group Meeting (Fall 2024)
[Paper Reading] StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
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๐ Presented in OptiML Group Meeting (Summer 2024)
[Paper Reading] Convex and Non-convex Optimization under Generalized Smoothness
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๐ Presented in AI709 Advanced Deep Learning Theory (Spring 2024)