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ORCIDYeachan Park
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2020 – today
- 2026
[i13]Sejun Park, Yeachan Park, Geonho Hwang:
On the Expressive Power of Floating-Point Transformers. CoRR abs/2601.16450 (2026)- [i12]Hyeonbin Hwang, Yeachan Park:
Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks. CoRR abs/2603.01968 (2026) - [i11]Sejun Park, Yeachan Park, Geonho Hwang:
Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients. CoRR abs/2605.01702 (2026) - [i10]Guijin Son, Seungone Kim, Catherine Arnett, Hyunwoo Ko, Hyein Lee, Hyeonah Kang, Jiang Longxi, Jin Yun, JungYup Lee, Kyungmin Lee, Sam Yoosuk Kim, Sang Park, Seunghyeok Hong, SeungJae Lee, Seungyeop Yi, Shinae Shin, SunHye Bok, Sunyoung Shin, Yonghoon Ji, Youngtaek Kim, Hanearl Jung, Akari Asai, Graham Neubig, Sean Welleck, Youngjae Yu, Akshelin R, Alexander B. Ivanov, Boboev Muhammadjon, Chae Young Han, Christian Stump, Cooper R. Anderson, Dmitrii Karp, Dohyun Kwon, Dongryung Yi, DoYong Kwon, Duk-Soon Oh, Eunho Choi, Giovanni Resta, Greta Panova, Huiyun Noh, Hyungryul Baik, Hyungsun Bae, Inomov Mashrafdzhon, Jeewon Kim, Jeong-Rae Kim, Ji Eun Lee, Jiaqi Liu, Jieui Kang, Jimin Kim, Jon-Lark Kim, Joonyeong Won, Junseo Yoon, Junwoo Jo, Kibeom Kim, Kiwoon Kwon, Mario Kummer, Max Mercer, Min Hoon Kim, Minjun Kim, Nahyun Lee, Ng Ze-An, Nicolas Libedinsky, Rafal Marcin Lochowski, Raphaël Lachièze-Rey, Robert Auffarth, Ruichen Zhang, Sejin Park, Seonguk Seo, Shin Jaehoon, Sunatullo, Taewoong Eom, Yeachan Park, Yongseok Jang, Youchan Oh, Zhaoyang Wang, Zoltán Kovács:
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs. CoRR abs/2605.09063 (2026) - [i9]Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park:
Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations. CoRR abs/2605.28704 (2026) - 2025
- [j5]Yeachan Park
, Minseok Kim, Yeoneung Kim:
Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation. Neurocomputing 640: 130347 (2025) - [c3]Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad:
Floating-Point Neural Networks are Provably Robust Universal Approximators. CAV (2) 2025: 301-326 - [c2]Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park:
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions. ICML 2025 - [c1]Yoonsoo Nam, Seok Hyeong Lee, Clémentine Carla Juliette Dominé, Yeachan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee:
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking). ICML (Position Papers) 2025 - [i8]Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad:
Floating-Point Neural Networks Are Provably Robust Universal Approximators. CoRR abs/2506.16065 (2025) - 2024
- [j4]Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park:
Expressive power of ReLU and step networks under floating-point operations. Neural Networks 175: 106297 (2024) - [i7]Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park:
Expressive Power of ReLU and Step Networks under Floating-Point Operations. CoRR abs/2401.15121 (2024) - [i6]Yeachan Park, Minseok Kim, Yeoneung Kim:
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation. CoRR abs/2405.16658 (2024) - [i5]Yeachan Park:
Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer Narrow Networks. CoRR abs/2408.08286 (2024) - [i4]Geonho Hwang, Yeachan Park, Sejun Park:
On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic. CoRR abs/2409.00297 (2024) - 2023
- [j3]Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang:
Self-knowledge distillation via dropout. Comput. Vis. Image Underst. 233: 103720 (2023) - 2022
- [j2]Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang:
MCW-Net: Single image deraining with multi-level connections and wide regional non-local blocks. Signal Process. Image Commun. 105: 116701 (2022) - [i3]Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang:
Self-Knowledge Distillation via Dropout. CoRR abs/2208.05642 (2022) - 2020
- [i2]Yeachan Park, Myungjoo Kang:
Membership Inference Attacks Against Object Detection Models. CoRR abs/2001.04011 (2020) - [i1]Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang:
MARA-Net: Single Image Deraining Network with Multi-level connection and Adaptive Regional Attention. CoRR abs/2009.13990 (2020)
2010 – 2019
- 2019
- [j1]James Negen, Linda Bou Ali, Brittney Chere, Hannah E. Roome, Yeachan Park, Marko Nardini:
Coding Locations Relative to One or Many Landmarks in Childhood. PLoS Comput. Biol. 15(10) (2019)
Coauthor Index
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