Yeachan Park

According to our database, Yeachan Park authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations.

Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park

CoRR, May, 2026

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs.

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

CoRR, May, 2026

Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients.

Sejun Park, Yeachan Park, Geonho Hwang

CoRR, May, 2026

Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks.

Hyeonbin Hwang, Yeachan Park

CoRR, March, 2026

On the Expressive Power of Floating-Point Transformers.

Sejun Park, Yeachan Park, Geonho Hwang

CoRR, January, 2026

2025

Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation.

Yeachan Park, Minseok Kim, Yeoneung Kim

Neurocomputing, 2025

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking).

Yoonsoo Nam, Seok Hyeong Lee, Clémentine Carla Juliette Dominé, Yeachan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions.

Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Floating-Point Neural Networks are Provably Robust Universal Approximators.

Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad

Proceedings of the Computer Aided Verification - 37th International Conference, 2025

2024

Expressive power of ReLU and step networks under floating-point operations.

Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park

Neural Networks, 2024

On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic.

Geonho Hwang, Yeachan Park, Sejun Park

CoRR, 2024

Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer Narrow Networks.

Yeachan Park

CoRR, 2024

2023

Self-knowledge distillation via dropout.

Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang

Comput. Vis. Image Underst., August, 2023

2022

MCW-Net: Single image deraining with multi-level connections and wide regional non-local blocks.

Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang

Signal Process. Image Commun., 2022

2020

MARA-Net: Single Image Deraining Network with Multi-level connection and Adaptive Regional Attention.

Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang

CoRR, 2020

Membership Inference Attacks Against Object Detection Models.

Yeachan Park, Myungjoo Kang

CoRR, 2020

2019

Coding Locations Relative to One or Many Landmarks in Childhood.

James Negen, Linda Bou Ali, Brittney Chere, Hannah E. Roome, Yeachan Park, Marko Nardini

PLoS Comput. Biol., 2019