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---
title: Latest 15 Papers - January 17, 2025
title: Latest 15 Papers - January 20, 2025
labels: documentation
---
**Please check the [Github](https://github.com/zezhishao/MTS_Daily_ArXiv) page for a better reading experience and more papers.**

## Time Series
| **Title** | **Date** | **Comment** |
| --- | --- | --- |
| **[NL2KQL: From Natural Language to Kusto Query](http://arxiv.org/abs/2404.02933v3)** | 2025-01-16 | |
| **[Cueless EEG imagined speech for subject identification: dataset and benchmarks](http://arxiv.org/abs/2501.09700v1)** | 2025-01-16 | |
| **[On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting](http://arxiv.org/abs/2407.11887v2)** | 2025-01-16 | <details><summary>62 pa...</summary><p>62 pages, 6 figures. Revised version accepted for publication in the Journal of Time Series Analysis</p></details> |
| **[Asymptotic Equivalence of Locally Stationary Processes and Bivariate White Noise](http://arxiv.org/abs/2410.05751v2)** | 2025-01-16 | |
| **[Functional Singular Value Decomposition](http://arxiv.org/abs/2410.03619v3)** | 2025-01-16 | New contents added |
| **[AALF: Almost Always Linear Forecasting](http://arxiv.org/abs/2409.10142v2)** | 2025-01-16 | |
| **[Towards Socially Responsible Forecasting: Identifying and Typifying Forecasting Harms](http://arxiv.org/abs/2411.16531v2)** | 2025-01-16 | |
| **[Hidden Markov Neural Networks](http://arxiv.org/abs/2004.06963v3)** | 2025-01-16 | |
| **[ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset](http://arxiv.org/abs/2501.09349v1)** | 2025-01-16 | |
| **[Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability](http://arxiv.org/abs/2501.09283v1)** | 2025-01-16 | |
| **[Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification](http://arxiv.org/abs/2501.09217v1)** | 2025-01-16 | <details><summary>8 pag...</summary><p>8 pages, 1 figure, 5 tables</p></details> |
| **[Short-time Variational Mode Decomposition](http://arxiv.org/abs/2501.09174v1)** | 2025-01-15 | 13 pages, 11 figures |
| **[Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product](http://arxiv.org/abs/2501.09129v1)** | 2025-01-15 | <details><summary>19 pa...</summary><p>19 pages, 18 figures, 5 tables. Preprint. Submitted to JSTARS</p></details> |
| **[Surrogate Modeling for Explainable Predictive Time Series Corrections](http://arxiv.org/abs/2412.19897v2)** | 2025-01-15 | |
| **[A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series](http://arxiv.org/abs/2411.13951v3)** | 2025-01-15 | <details><summary>Submi...</summary><p>Submitted to the IEEE Transactions on Reliability journal</p></details> |
| **[Kolmogorov-Arnold Networks for Time Series Granger Causality Inference](http://arxiv.org/abs/2501.08958v1)** | 2025-01-15 | |
| **[Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model Deforestation: An Exemplification from the Amazon Rainforest](http://arxiv.org/abs/2308.06471v2)** | 2025-01-15 | <details><summary>The e...</summary><p>The experimental data used in this article has given wrong practical interpretation. The data has to be updated to improve this</p></details> |
| **[Transformer-based Multivariate Time Series Anomaly Localization](http://arxiv.org/abs/2501.08628v1)** | 2025-01-15 | |
| **[CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting](http://arxiv.org/abs/2501.08620v1)** | 2025-01-15 | |
| **[OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML](http://arxiv.org/abs/2501.08591v1)** | 2025-01-15 | |
| **[A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Results](http://arxiv.org/abs/2501.08532v1)** | 2025-01-15 | |
| **[A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method](http://arxiv.org/abs/2501.08531v1)** | 2025-01-15 | <details><summary>arXiv...</summary><p>arXiv admin note: text overlap with arXiv:2501.07827</p></details> |
| **[Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin](http://arxiv.org/abs/2501.08464v1)** | 2025-01-14 | |
| **[Convergence guarantees for response prediction for latent structure network time series](http://arxiv.org/abs/2501.08456v1)** | 2025-01-14 | |
| **[Statistical Properties of Deep Neural Networks with Dependent Data](http://arxiv.org/abs/2410.11113v3)** | 2025-01-14 | <details><summary>86 pa...</summary><p>86 pages, 2 figures, removed partially linear model section and uploaded as a separate paper (arXiv:2410.22574v1)</p></details> |
| **[Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification](http://arxiv.org/abs/2501.08305v1)** | 2025-01-14 | |
| **[Pathwise guessing in categorical time series with unbounded alphabets](http://arxiv.org/abs/2501.06547v2)** | 2025-01-14 | 21 pages, submitted |
| **[Least-Squares Estimator for cumulative INAR($\infty$) processes](http://arxiv.org/abs/2412.01569v2)** | 2025-01-14 | |
| **[Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations](http://arxiv.org/abs/2410.10174v3)** | 2025-01-14 | <details><summary>Confe...</summary><p>Conference paper under review, after revision</p></details> |

## Trajectory
| **Title** | **Date** | **Comment** |
| --- | --- | --- |
| **[Real-Time Generation of Near-Minimum-Energy Trajectories via Constraint-Informed Residual Learning](http://arxiv.org/abs/2501.09450v1)** | 2025-01-16 | |
| **[On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression](http://arxiv.org/abs/2501.09327v1)** | 2025-01-16 | AAMAS 2025 |
| **[Control Barrier Function-Based Safety Filters: Characterization of Undesired Equilibria, Unbounded Trajectories, and Limit Cycles](http://arxiv.org/abs/2501.09289v1)** | 2025-01-16 | |
| **[Estimation-Aware Trajectory Optimization with Set-Valued Measurement Uncertainties](http://arxiv.org/abs/2501.09192v1)** | 2025-01-15 | 25 pages, 5 figures |
| **[MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction](http://arxiv.org/abs/2402.12238v2)** | 2025-01-15 | <details><summary>Accep...</summary><p>Accepted by Neurips 2024. Code: https://github.com/mulplue/MGF</p></details> |
| **[Predicting 4D Hand Trajectory from Monocular Videos](http://arxiv.org/abs/2501.08329v1)** | 2025-01-14 | |
| **[Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights](http://arxiv.org/abs/2501.07711v1)** | 2025-01-13 | <details><summary>13 pa...</summary><p>13 pages,7 figures,Accepted to IEEE Transactions on Multimedia (TMM)</p></details> |
Expand All @@ -37,27 +41,23 @@ labels: documentation
| **[Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting](http://arxiv.org/abs/2501.04815v1)** | 2025-01-08 | |
| **[Development of an Adaptive Sliding Mode Controller using Neural Networks for Trajectory Tracking of a Cylindrical Manipulator](http://arxiv.org/abs/2501.04754v1)** | 2025-01-08 | |
| **[Task Coordination and Trajectory Optimization for Multi-Aerial Systems via Signal Temporal Logic: A Wind Turbine Inspection Study](http://arxiv.org/abs/2410.06620v2)** | 2025-01-08 | <details><summary>2 pag...</summary><p>2 pages, Accepted for discussion at the workshop session "Formal methods techniques in robotics systems: Design and control" at IROS'24 in Abu Dhabi, UAE</p></details> |
| **[Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies](http://arxiv.org/abs/2407.19681v3)** | 2025-01-08 | 8 pages, 11 figures |
| **[Future Success Prediction in Open-Vocabulary Object Manipulation Tasks Based on End-Effector Trajectories](http://arxiv.org/abs/2412.19112v2)** | 2025-01-08 | <details><summary>Accep...</summary><p>Accepted for presentation at LangRob @ CoRL 2024</p></details> |
| **[Frenet-Serret-Based Trajectory Prediction](http://arxiv.org/abs/2501.04273v1)** | 2025-01-08 | <details><summary>8 pag...</summary><p>8 pages, 6 figures. Submitted to ACC 2025</p></details> |
| **[ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images](http://arxiv.org/abs/2406.14794v5)** | 2025-01-07 | <details><summary>Accep...</summary><p>Accepted to ICASSP 2025</p></details> |

## Graph Neural Networks
| **Title** | **Date** | **Comment** |
| --- | --- | --- |
| **[ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective](http://arxiv.org/abs/2207.09980v4)** | 2025-01-16 | <details><summary>36th ...</summary><p>36th Conference on Neural Information Processing Systems (NeurIPS 2022)</p></details> |
| **[ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters](http://arxiv.org/abs/2412.19106v2)** | 2025-01-16 | <details><summary>Accep...</summary><p>Accepted in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025</p></details> |
| **[Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning](http://arxiv.org/abs/2501.09399v1)** | 2025-01-16 | 10 pages, 9 figures |
| **[First Experiments with Neural cvc5](http://arxiv.org/abs/2501.09379v1)** | 2025-01-16 | |
| **[Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation](http://arxiv.org/abs/2211.15081v8)** | 2025-01-16 | |
| **[Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation](http://arxiv.org/abs/2412.11654v3)** | 2025-01-16 | <details><summary>11 pa...</summary><p>11 pages, Accpected by AAAI2025</p></details> |
| **[Enhancing Graph Representation Learning with Localized Topological Features](http://arxiv.org/abs/2501.09178v1)** | 2025-01-15 | <details><summary>Accep...</summary><p>Accepted in JMLR 2025</p></details> |
| **[Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks](http://arxiv.org/abs/2501.09117v1)** | 2025-01-15 | 16 pages, 5 figures |
| **[Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction](http://arxiv.org/abs/2501.09103v1)** | 2025-01-15 | |
| **[CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks](http://arxiv.org/abs/2501.08998v1)** | 2025-01-15 | <details><summary>10+12...</summary><p>10+12 pages, 10 figures</p></details> |
| **[Joint Detection and Decoding: A Graph Neural Network Approach](http://arxiv.org/abs/2501.08871v1)** | 2025-01-15 | <details><summary>Submi...</summary><p>Submitted to Transactions on Communications. arXiv admin note: text overlap with arXiv:2401.16187</p></details> |
| **[MeshMask: Physics-Based Simulations with Masked Graph Neural Networks](http://arxiv.org/abs/2501.08738v1)** | 2025-01-15 | |
| **[GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures](http://arxiv.org/abs/2501.08729v1)** | 2025-01-15 | 38 pages, 12 figures |
| **[GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures](http://arxiv.org/abs/2501.08729v1)** | 2025-01-15 | 38 pages, 12 figures |
| **[SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks](http://arxiv.org/abs/2401.15299v3)** | 2025-01-15 | <details><summary>Accep...</summary><p>Accepted to 4th workshop on Graphs and more Complex structures for Learning and Reasoning, colocated with AAAI 2024</p></details> |
| **[Dynamic Localisation of Spatial-Temporal Graph Neural Network](http://arxiv.org/abs/2501.04239v3)** | 2025-01-15 | <details><summary>This ...</summary><p>This paper was accepted by KDD'25</p></details> |
| **[Clarify Confused Nodes via Separated Learning](http://arxiv.org/abs/2306.02285v5)** | 2025-01-15 | <details><summary>Accep...</summary><p>Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence</p></details> |
| **[Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification](http://arxiv.org/abs/2501.08581v1)** | 2025-01-15 | <details><summary>Accep...</summary><p>Accepted by AAAI 2025</p></details> |
| **[OMEGA: A Low-Latency GNN Serving System for Large Graphs](http://arxiv.org/abs/2501.08547v1)** | 2025-01-15 | |
| **[Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning](http://arxiv.org/abs/2411.00205v2)** | 2025-01-15 | |
| **[Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning](http://arxiv.org/abs/2501.08397v1)** | 2025-01-14 | |
| **[Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification](http://arxiv.org/abs/2501.08305v1)** | 2025-01-14 | |
| **[Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression](http://arxiv.org/abs/2501.07994v1)** | 2025-01-14 | |
| **[KAN KAN Buff Signed Graph Neural Networks?](http://arxiv.org/abs/2501.00709v2)** | 2025-01-14 | |
| **[Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types](http://arxiv.org/abs/2302.01313v8)** | 2025-01-14 | |

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