Geonho Hwang

24 papers A* 5Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Expressive Power of Floating-Point Transformers.
CoRR
Sejun Park, Yeachan Park, Geonho Hwang
2025 J jnl
Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation.
Pattern Recognit.
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang
2025 J jnl
Floating-Point Neural Networks Are Provably Robust Universal Approximators.
CoRR
Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad
2025 A* conf
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions.
ICML
Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park
2025 — conf
Floating-Point Neural Networks are Provably Robust Universal Approximators.
CAV (2)
Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad
2025 J jnl
Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph.
CoRR
Geonho Hwang, Yesom Park, Yueun Lee, Jooyoung Hahn, Myungjoo Kang
2025 A* conf
Minimum Width for Universal Approximation using Squashable Activation Functions.
ICML
Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
2025 J jnl
Minimum width for universal approximation using squashable activation functions.
CoRR
Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
2024 J jnl
Analysis of efficient preconditioner for solving Poisson equation with Dirichlet boundary condition in irregular three-dimensional domains.
J. Comput. Phys.
Geonho Hwang, Yesom Park, Yueun Lee, Myungjoo Kang
2024 J jnl
Expressive Power of ReLU and Step Networks under Floating-Point Operations.
CoRR
Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
2024 J jnl
Expressive power of ReLU and step networks under floating-point operations.
Neural Networks
Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
2024 J jnl
On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic.
CoRR
Geonho Hwang, Yeachan Park, Sejun Park
2023 J jnl
Disentangling the correlated continuous and discrete generative factors of data.
Pattern Recognit.
Jaewoong Choi, Geonho Hwang, Myungjoo Kang
2023 A* conf
Finding the Global Semantic Representation in GAN through Fréchet Mean.
ICLR
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang
2023 A* conf
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action.
ICML
Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang
2023 J jnl
Minimal Width for Universal Property of Deep RNN.
J. Mach. Learn. Res.
Changhoon Song, Geonho Hwang, Junho Lee, Myungjoo Kang
2023 J jnl
Minimum Width for Deep, Narrow MLP: A Diffeomorphism and the Whitney Embedding Theorem Approach.
CoRR
Geonho Hwang
2022 J jnl
Analyzing the Latent Space of GAN through Local Dimension Estimation.
CoRR
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang
2022 A* conf
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs.
ICLR
Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang
2022 J jnl
Finding the global semantic representation in GAN through Frechet Mean.
CoRR
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang
2022 J jnl
Minimal Width for Universal Property of Deep RNN.
CoRR
Changhoon Song, Geonho Hwang, Junho Lee, Myungjoo Kang
2022 J jnl
Universal Property of Convolutional Neural Networks.
CoRR
Geonho Hwang, Myungjoo Kang
2021 J jnl
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs.
CoRR
Jaewoong Choi, Changyeon Yoon, Junho Lee, Jung Ho Park, Geonho Hwang, Myungjoo Kang
2020 J jnl
Discond-VAE: Disentangling Continuous Factors from the Discrete.
CoRR
Jaewoong Choi, Geonho Hwang, Myungjoo Kang