Latest 15 Papers - June 13, 2024

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Time Series

Title	Date	Comment
Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses on factors influencing offshore decisions	2024-06-11	30 pages
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting	2024-06-11	The c... The code is available at https://github.com/ClaudiaShu/DeformTime
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting	2024-06-11	23 pages, 13 figures
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift	2024-06-11	KDD'2... KDD'24 research paper
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference	2024-06-11	23 pa... 23 pages, 5 figures, International Conference on Machine Learning 2024
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting	2024-06-11
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data	2024-06-11	Ongoi... Ongoing work & Under review; 27 pages, 8 figures, 2 tables; Github Repo: https://github.com/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
Calibrating Car-Following Models via Bayesian Dynamic Regression	2024-06-11
DecoR: Deconfounding Time Series with Robust Regression	2024-06-11	27 pages, 7 figures
Low Rank Multi-Dictionary Selection at Scale	2024-06-11	Proce... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 25--29, 2024, Barcelona, Spain
Nonlinear time-series embedding by monotone variational inequality	2024-06-11
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them	2024-06-10
Binary De Bruijn Processes	2024-06-10
Data Augmentation for Multivariate Time Series Classification: An Experimental Study	2024-06-10	Works... Workshop on Multivariate Time Series Analytics (MulTiSA), ICDE Workshop
Continuum Attention for Neural Operators	2024-06-10

Trajectory

Title	Date	Comment
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior	2024-06-11	32 pages, 9 figures
Fast and Certifiable Trajectory Optimization	2024-06-11
A Generalized Pointing Error Model for FSO Links with Fixed-Wing UAVs for 6G: Analysis and Trajectory Optimization	2024-06-08	14 pa... 14 pages, 12 figures, under revision; IEEE Transactions on Wireless Communications
Multi-Vehicle Trajectory Planning at V2I-enabled Intersections based on Correlated Equilibrium	2024-06-08	8 pag... 8 pages,12 figures,Submission to IEEE Robotics and Automation Letters
Multi-Entry Generalized Search Trees for Indexing Trajectories	2024-06-08
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States	2024-06-08	Accepted by UAI 2024
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning	2024-06-08
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree	2024-06-07	ICML ... ICML 2024 (Spotlight)
Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks	2024-06-07	Some ... Some statements in the introduction may be controversial
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories	2024-06-07
TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories	2024-06-07	Artif... Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications Workshop at IJCAI '24
DeTra: A Unified Model for Object Detection and Trajectory Forecasting	2024-06-06
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories	2024-06-06	ICML 2024 Accepted
Harmonious Group Choreography with Trajectory-Controllable Diffusion	2024-06-06
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories	2024-06-05	cvpr2... cvpr24 post camera ready

Graph Neural Networks

Title	Date	Comment
Graph Reasoning for Explainable Cold Start Recommendation	2024-06-11
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective	2024-06-11
Graph Mining under Data scarcity	2024-06-11	7 pages, 2 figures
Large Language Model Meets Graph Neural Network in Knowledge Distillation	2024-06-11	This ... This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs	2024-06-11	Accep... Accepted by ICML 2024
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges	2024-06-11
Logical Distillation of Graph Neural Networks	2024-06-11	Under Review
CHARME: A chain-based reinforcement learning approach for the minor embedding problem	2024-06-11
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks	2024-06-11	This ... This is the technical report for the paper accepted to KDD 2024. 17 pages
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction	2024-06-11	IJCAI 2024
On the Hölder Stability of Multiset and Graph Neural Networks	2024-06-11
Non-autoregressive Personalized Bundle Generation	2024-06-11	Submi... Submitted to Information Processing & Management
Open Ad Hoc Teamwork with Cooperative Game Theory	2024-06-10	Publi... Published at ICML 2024, 29 pages
Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction	2024-06-10
Spatiotemporal Graph Neural Network Modelling Perfusion MRI	2024-06-10	11 pages, 2 figures