Latest 15 Papers - January 29, 2025

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Time Series

Title	Date	Comment
Tailored Forecasting from Short Time Series via Meta-learning	2025-01-27	25 pages, 14 figures
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios	2025-01-27
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models	2025-01-27
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting	2025-01-27
Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management	2025-01-27
Modeling Latent Non-Linear Dynamical System over Time Series	2025-01-27	Accepted by AAAI'25
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback	2025-01-27
T-Graphormer: Using Transformers for Spatiotemporal Forecasting	2025-01-27
Deterministic Reservoir Computing for Chaotic Time Series Prediction	2025-01-26
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series	2025-01-26	18 pa... 18 pages, 7 figures V2: Updated the title and abstract. Added the Related work section. Added a few notes
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory	2025-01-26
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data	2025-01-26	6 pages, 3 figures
Stochastic Volatility under Informative Missingness	2025-01-25	41 to... 41 total pages, 1 cover page, 27 pages main text, 4 pages references, 9 pages appendices, 7 figures, 8 tables
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies	2025-01-25
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting	2025-01-25

Trajectory

Title	Date	Comment
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness	2025-01-27	arXiv... arXiv admin note: text overlap with arXiv:2407.13431
Error-State LQR Formulation for Quadrotor UAV Trajectory Tracking	2025-01-27
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning	2025-01-26	Accep... Accepted to ESANN 2025
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations	2025-01-25
Towards Robust Spacecraft Trajectory Optimization via Transformers	2025-01-25	Submi... Submitted to the IEEE Aerospace Conference 2025. 13 pages, 10 figures
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features	2025-01-23	Accep... Accepted by 2024 International Conference on Intelligent Computing and its Emerging Applications
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates	2025-01-23
Knowledge-Informed Multi-Agent Trajectory Prediction at Signalized Intersections for Infrastructure-to-Everything	2025-01-23
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks	2025-01-23	submitted
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion	2025-01-23
A Spatio-temporal Graph Network Allowing Incomplete Trajectory Input for Pedestrian Trajectory Prediction	2025-01-22
Trajectory tracking model-following control using Lyapunov redesign with output time-derivatives to compensate unmatched uncertainties	2025-01-22
Learning segmentation from point trajectories	2025-01-21	NeurI... NeurIPS 2024 Spotlight. Project https://www.robots.ox.ac.uk/~vgg/research/lrtl/
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model	2025-01-20	To ap... To appear in Applications of Evolutionary Computation 28th International Conference, EvoApplications 2025
Spatio-temporal characterisation of underwater noise through semantic trajectories	2025-01-19

Graph Neural Networks

Title	Date	Comment
Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems	2025-01-27	6 pag... 6 pages, 7 figures. This conference paper was published in the 2024 IEEE International Symposium on Phased Array Systems and Technology
From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases	2025-01-27	25 pages, 12 figures
ReFill: Reinforcement Learning for Fill-In Minimization	2025-01-27
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning	2025-01-27
Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis	2025-01-27	This ... This paper is accepted by DASFAA 2025
Graph Condensation: A Survey	2025-01-27	Trans... Transactions on Knowledge and Data Engineering (TKDE) 2025
An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks	2025-01-27	12 pa... 12 pages, 9 figures, 3 tables
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum	2025-01-27
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design	2025-01-27
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways	2025-01-27	13 pa... 13 pages, 12 figures; vehicle grouping method updated, explainable GNN framework incorporated
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems	2025-01-26	ICLR ... ICLR 2025. Code is available at https://github.com/jiechenjiechen/GNP. (Important update from v1 to v2: Updated the timing experiments and evaluation metrics for fairer and better results.)
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects	2025-01-26	36 pa... 36 pages, 12 figures. For the reference in the abstract see: de Santi et al. 2023, arXiv:2302.14101
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model	2025-01-26	14 pa... 14 pages, Accepted by WWW'25
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation	2025-01-26	14 pa... 14 pages, accepted by WWW2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space	2025-01-26	11 pages, 4 figures