:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiong, Wen, Liu, Jinduo, Ji, Junzhong, Ma, Fenglong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.11283
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Robust Certified Machine Unlearning Method Under Distribution Shift
by: Guo, Jinduo, et al.
Published: (2026)

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
by: Xiong, Yuqi, et al.
Published: (2025)

Topological Cycle Graph Attention Network for Brain Functional Connectivity
by: Huang, Jinghan, et al.
Published: (2024)

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
by: Wang, Xiaochen, et al.
Published: (2023)

BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
by: Huang, Yiran, et al.
Published: (2025)

Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
by: Wang, Yujia, et al.
Published: (2025)

Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
by: Qian, Wei, et al.
Published: (2024)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
by: Che, Liwei, et al.
Published: (2024)

The Diffusion-Attention Connection
by: Candanedo, Julio
Published: (2026)

EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
by: Zhang, Yunxiao, et al.
Published: (2025)

Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement
by: Mi, Yuan, et al.
Published: (2024)

Analysis of Fourier Neural Operators via Effective Field Theory
by: Kim, Taeyoung
Published: (2025)

FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction
by: Li, Xinjin, et al.
Published: (2026)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
by: Zhong, Yuan, et al.
Published: (2024)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
by: Mi, Yuan, et al.
Published: (2024)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
by: Wang, Xiaochen, et al.
Published: (2024)

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion
by: Wang, Xinyan, et al.
Published: (2025)

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
by: Collas, Antoine, et al.
Published: (2025)

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
by: Jiang, Tanqiu, et al.
Published: (2025)

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
by: Hong, Sungchul, et al.
Published: (2023)

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
by: Tewari, Niharika, et al.
Published: (2025)

Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)

Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes
by: Jenson, Daniel, et al.
Published: (2025)

Fourier Asymmetric Attention on Domain Generalization for Pan-Cancer Drug Response Prediction
by: Song, Ran, et al.
Published: (2025)

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
by: Wang, Jiaqi, et al.
Published: (2024)

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
by: Liu, Ning, et al.
Published: (2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)

SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)

DeepCrossAttention: Supercharging Transformer Residual Connections
by: Heddes, Mike, et al.
Published: (2025)

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
by: Liang, Jiacheng, et al.
Published: (2025)

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
by: Tang, Jingfeng, et al.
Published: (2026)

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
by: Tian, Zhen, et al.
Published: (2024)

S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
by: Wang, Jiaqi, et al.
Published: (2025)

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
by: Soussia, Mayssa, et al.
Published: (2025)

Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
by: Ding, Jun-En, et al.
Published: (2024)

Simple yet Effective: Low-Rank Spatial Attention for Neural Operators
by: Yang, Zherui, et al.
Published: (2026)

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
by: Dutta, Sharmishtha, et al.
Published: (2024)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
by: Dong, Zheng, et al.
Published: (2024)

Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
by: Kostenok, Elizaveta, et al.
Published: (2023)