:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Baek, Seunghun, Choi, Injun, Dere, Mustafa, Kim, Minjeong, Wu, Guorong, Kim, Won Hwa
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.01232
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modality-Agnostic Style Transfer for Holistic Feature Imputation
by: Baek, Seunghun, et al.
Published: (2025)

MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
by: Baek, Seunghun, et al.
Published: (2025)

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
by: Baek, Seunghun, et al.
Published: (2025)

Learning to Approximate Adaptive Kernel Convolution on Graphs
by: Sim, Jaeyoon, et al.
Published: (2024)

PedaCo-Gen: Scaffolding Pedagogical Agency in Human-AI Collaborative Video Authoring
by: Baek, Injun, et al.
Published: (2026)

TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
by: Kim, Jinjae, et al.
Published: (2024)

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
by: Kim, Sung-Hyun, et al.
Published: (2025)

Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
by: Kim, Minsang, et al.
Published: (2024)

RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
by: Lee, Cheol-Hui, et al.
Published: (2026)

Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation
by: Baek, In-Chang, et al.
Published: (2026)

Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
by: Wei, Ziquan, et al.
Published: (2024)

On Evaluation of Unsupervised Feature Selection for Pattern Classification
by: Kim, Gyu-Il, et al.
Published: (2026)

Generative Modeling of Class Probability for Multi-Modal Representation Learning
by: Shin, Jungkyoo, et al.
Published: (2025)

Multi-View Node Pruning for Accurate Graph Representation
by: Kim, Hanjin, et al.
Published: (2025)

Automated Structured Radiology Report Generation with Rich Clinical Context
by: Kang, Seongjae, et al.
Published: (2025)

Inversion-based Latent Bayesian Optimization
by: Chu, Jaewon, et al.
Published: (2024)

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
by: Ma, Xin, et al.
Published: (2019)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
by: Kim, Minsang, et al.
Published: (2024)

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
by: Zadeh, Fatemeh Pesaran, et al.
Published: (2024)

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
by: Wei, Ziquan, et al.
Published: (2025)

Latent Bayesian Optimization via Autoregressive Normalizing Flows
by: Lee, Seunghun, et al.
Published: (2025)

Polyhedral Complex Derivation from Piecewise Trilinear Networks
by: Kim, Jin-Hwa
Published: (2024)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
by: Choi, Yumin, et al.
Published: (2025)

Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
by: Choi, Jeongwhan, et al.
Published: (2025)

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions
by: Yoon, Eunbi, et al.
Published: (2026)

A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
by: Zhao, Xinglin, et al.
Published: (2025)

A Review of Latent Representation Models in Neuroimaging
by: Vázquez-García, C., et al.
Published: (2024)

Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)

Federated Learning with Feedback Alignment
by: Baek, Incheol, et al.
Published: (2025)

Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation
by: Park, Yeachan, et al.
Published: (2024)

R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression
by: Zhao, Kun, et al.
Published: (2025)

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
by: Choi, Seungyoon, et al.
Published: (2024)

GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
by: Dan, Tingting, et al.
Published: (2026)

Investigating Representation Universality: Case Study on Genealogical Representations
by: Baek, David D., et al.
Published: (2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)

Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation
by: Kim, Minsang, et al.
Published: (2026)

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)

Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning
by: Tran, Kim Phuc
Published: (2026)