Latest 15 Papers - November 08, 2024

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Time Series

Title	Date	Comment
Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs	2024-11-06	51 pa... 51 pages, 9 figures, 6 tables
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis	2024-11-06
Estimating breakpoints between climate states in the Cenozoic Era	2024-11-06	Autho... Authors in alphabetical order
Multiple change-point detection for some point processes	2024-11-06
Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions	2024-11-06
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting	2024-11-06
Expectile Periodograms	2024-11-06
The VIX as Stochastic Volatility for Corporate Bonds	2024-11-06	12 pa... 12 pages, 2 figures, 8 graphs. Keywords: stochastic volatility, ergodic Markov process, stationary distribution, autoregression, kurtosis
From Similarity to Superiority: Channel Clustering for Time Series Forecasting	2024-11-06	NeurIPS 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks	2024-11-06	12 pa... 12 pages, 4 figures, 6 tables
An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting	2024-11-06	This ... This work has been accepted by the 2024 Australasian Joint Conference on Artificial Intelligence (AJCAI 2024)
Statistical Properties of Deep Neural Networks with Dependent Data	2024-11-05	85 pa... 85 pages, 2 figures, removed partially linear model section and uploaded as a separate paper (arXiv:2410.22574v1)
Interpretable Predictive Models for Healthcare via Rational Logistic Regression	2024-11-05	ICIS ... ICIS 2021 Proceedings ( see https://aisel.aisnet.org/icis2021/is_health/is_health/18 )
FUSE: Fast Unified Simulation and Estimation for PDEs	2024-11-05
TrendLSW: Trend and Spectral Estimation of Nonstationary Time Series in R	2024-11-05

Trajectory

Title	Date	Comment
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy	2024-11-06	Accep... Accept to CoRL 2024 Workshop on X-Embodiment Robot Learning
Biomechanics-Aware Trajectory Optimization for Navigation during Robotic Physiotherapy	2024-11-06	13 pa... 13 pages, 9 figures, under review
UniTraj: Universal Human Trajectory Modeling from Billion-Scale Worldwide Traces	2024-11-06
How to Drawjectory? -- Trajectory Planning using Programming by Demonstration	2024-11-06
Revisiting CNNs for Trajectory Similarity Learning	2024-11-05
NEOviz: Uncertainty-Driven Visual Analysis of Asteroid Trajectories	2024-11-05
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery	2024-11-04
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	2024-11-04	Accep... Accepted by NeurIPS 2024 (Camera-Ready Version). Project Page: https://hyper-sd.github.io/
Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learning	2024-11-04	20 pages, 18 figures
Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments	2024-11-04	In th... In the 24th International Conference on Control, Automation, and Systems (ICCAS 2024), Jeju, Korea
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	2024-11-04	NeurI... NeurIPS 2024. Previously accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making. Jaewoo Lee and Sujin Yun are equal contribution authors
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression	2024-11-03	Camer... Camera-ready version of NeurIPS 2024 paper
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach	2024-11-03
Labeled random finite sets vs. trajectory random finite sets	2024-11-03	6 pages, 1 figur4e
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach -- Forget the Maps and Traffic!	2024-11-02

Graph Neural Networks

Title	Date	Comment
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction	2024-11-06
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation	2024-11-06	10 pages, 3 figures
Reconsidering the Performance of GAE in Link Prediction	2024-11-06
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation	2024-11-06	Accep... Accepted for publication in Geoscience and Remote Sensing Magazine (GRSM)
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise	2024-11-06
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach	2024-11-06	In NeurIPS'24
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning	2024-11-06
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation	2024-11-06
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix	2024-11-05	Corre... Correction of precision and recall values
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment	2024-11-05
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts	2024-11-05	8pages
Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering	2024-11-05	14th ... 14th International Conference on Security, Privacy, and Applied Cryptographic Engineering (SPACE) 2024
Distributed Graph Neural Network Design for Sum Ergodic Spectral Efficiency Maximization in Cell-Free Massive MIMO	2024-11-05	6 pag... 6 pages, 4 figures, and 4 tables. Accepted by IEEE TVT
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks	2024-11-05
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks	2024-11-05