Park, Noseong

41 publications

ICLRW 2025 Dars : Robust Sparse Fine-Tuning with Regularized Subspace Disalignment Sumin Park, Noseong Park

ICLR 2025 Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

IJCAI 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain Hyowon Wi, Jeongwhan Choi, Noseong Park

AAAI 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee

ICLR 2025 Neural Functions for Learning Periodic Signal Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park

NeurIPS 2025 PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee

ICLR 2025 PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park

ICLRW 2025 Possibility for Proactive Anomaly Detection Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park

NeurIPS 2025 TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park

ICLRW 2025 Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Noseong Park, Kookjin Lee

AAAI 2024 An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

NeurIPSW 2024 Can We Pre-Train ICL-Based SFMs for the Zero-Shot Inference of the 1d CDR Problem with Noisy Data? Mingu Kang, Dongseok Lee, Woojin Cho, Kookjin Lee, Anthony Gruber, Nathaniel Trask, Youngjoon Hong, Noseong Park

ICML 2024 DataFreeShield: Defending Adversarial Attacks Without Training Data Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee

ICLRW 2024 Extension of Physics-Informed Neural Networks to Solving Parameterized PDEs Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

NeurIPS 2024 Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

ICLR 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon Young Yang, Sooyoung Yoon, Noseong Park

AAAI 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park

ICLR 2024 PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park

ICML 2024 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park

ICML 2024 Parameterized Physics-Informed Neural Networks for Parameterized PDEs Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

ICML 2024 Polynomial-Based Self-Attention for Table Representation Learning Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

ICLRW 2024 SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations Jinsung Jeon, Noseong Park

IJCAI 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park

ICML 2023 CoDi: Co-Evolving Contrastive Diffusion Models for Mixed-Type Tabular Synthesis Chaejeong Lee, Jayoung Kim, Noseong Park

ICML 2023 GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

IJCAI 2023 Hawkes Process Based on Controlled Differential Equations Minju Jo, Seungji Kook, Noseong Park

NeurIPSW 2023 HyperNetwork Approximating Future Parameters for Time Series Forecasting Under Temporal Drifts Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

NeurIPS 2023 Hypernetwork-Based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park

AAAI 2023 Learnable Path in Neural Controlled Differential Equations Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park

ICLR 2023 STaSy: Score-Based Tabular Data Synthesis Jayoung Kim, Chaejeong Lee, Noseong Park

NeurIPS 2022 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park

AAAI 2022 Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park

CVPR 2022 It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher Kanghyun Choi, Hye Yoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

ICLR 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations Jaehoon Lee, Jinsung Jeon, Sheo yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park

ICML 2021 A Novel Method to Solve Neural Knapsack Problems Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park

AAAI 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

NeurIPS 2021 Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho

NeurIPS 2021 Qimera: Data-Free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee

IJCAI 2019 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian

IJCAI 2019 VEST: A System for Vulnerability Exploit Scoring & Timing Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian

IJCAI 2018 MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park