Latest 15 Papers - February 14, 2025

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Time Series

Title	Date	Comment
Two-stage hybrid models for enhancing forecasting accuracy on heterogeneous time series	2025-02-12	14 pages, 2 figures
Oscillatory State-Space Models	2025-02-12	ICLR (Oral)
Causal Discovery from Conditionally Stationary Time Series	2025-02-12
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting	2025-02-12
Uniform confidence bands for joint angles across different fatigue phases	2025-02-12
Beam Prediction based on Large Language Models	2025-02-12
Deep Learning for Multivariate Time Series Imputation: A Survey	2025-02-12	Under review
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting	2025-02-12
Trend estimation for time series with polynomial-tailed noise	2025-02-12
GenIAS: Generator for Instantiating Anomalies in time Series	2025-02-12
Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction	2025-02-12
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization	2025-02-12	5 pag... 5 pages; 6 figures; submitted to 2025 IEEE Statistical Signal Processing Workshop
Global Deep Forecasting with Patient-Specific Pharmacokinetics	2025-02-12
Graph Neural Networks in EEG-based Emotion Recognition: A Survey	2025-02-12
Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling	2025-02-12	36 pa... 36 pages, multiple figures

Trajectory

Title	Date	Comment
Interactive incremental learning of generalizable skills with local trajectory modulation	2025-02-12	Accep... Accepted at IEEE Robotics and Automation Letters (RA-L), 16 pages, 19 figures, 6 tables. See https://github.com/DLR-RM/interactive-incremental-learning for further information and video
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization	2025-02-12	8 pag... 8 pages, 6 figures, accepted at the 2025 IEEE International Conference on Robotics & Automation (ICRA)
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation	2025-02-12
Investigating Vulnerabilities of GPS Trip Data to Trajectory-User Linking Attacks	2025-02-12	32 pages, 15 figures
RouteFlow: Trajectory-Aware Animated Transitions	2025-02-12	Accepted to CHI 2025
Swept Volume-Aware Trajectory Planning and MPC Tracking for Multi-Axle Swerve-Drive AMRs	2025-02-11	Paper... Paper Accepted to ICRA 2025
HGTUL: A Hypergraph-based Model For Trajectory User Linking	2025-02-11	11 pages, 4 figures
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models	2025-02-11
Holistic Semantic Representation for Navigational Trajectory Generation	2025-02-11	Accep... Accepted by AAAI 2025
Online Aggregation of Trajectory Predictors	2025-02-11	9 pages, 7 figures
Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots	2025-02-10
Particle Trajectory Representation Learning with Masked Point Modeling	2025-02-09	Prepr... Preprint. 24 pages, 15 figures. Project page at https://youngsm.com/polarmae/
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning	2025-02-08	9 pages, 6 figures
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife	2025-02-08	12 pa... 12 pages, 7 figures, SIGSPATIAL '24
Using Clarke Transform to Create a Framework on the Manifold: From Sampling via Trajectory Generation to Control	2025-02-07	8 pag... 8 pages, 10 figures, and 1 table

Graph Neural Networks

Title	Date	Comment
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function	2025-02-12	50 pages, 4 figures
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation	2025-02-12	Accep... Accepted by ICLR 2025
Efficient IAM Greybox Penetration Testing	2025-02-12
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation	2025-02-12
GraphXAIN: Narratives to Explain Graph Neural Networks	2025-02-12	19 pa... 19 pages, 9 figures, 2 tables
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs	2025-02-12
GNN-based Anchor Embedding for Exact Subgraph Matching	2025-02-12
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy	2025-02-12	Submi... Submitted to IJCAI 2025
Graph Foundation Models for Recommendation: A Comprehensive Survey	2025-02-12
Data Pricing for Graph Neural Networks without Pre-purchased Inspection	2025-02-12	Accep... Accepted by AAMAS-2025
Equivariant Masked Position Prediction for Efficient Molecular Representation	2025-02-12	24 pages, 6 figures
RIDA: A Robust Attack Framework on Incomplete Graphs	2025-02-12
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation	2025-02-12	10 pages, 6 figures
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks	2025-02-12
Graph Neural Networks in EEG-based Emotion Recognition: A Survey	2025-02-12