Latest 15 Papers - January 28, 2025

[github-actions]

Please check the Github page for a better reading experience and more papers.

Time Series

Title	Date	Comment
Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments	2025-01-24
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis	2025-01-24	Accep... Accepted by NeurIPS 2024 Datasets and Benchmarks Track
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression	2025-01-24	14 pages, 13 figures
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios	2025-01-24
A Survey on Diffusion Models for Anomaly Detection	2025-01-24
Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series	2025-01-24	10 pages, 2 figures
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting	2025-01-24
Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models	2025-01-24
Look Into the LITE in Deep Learning for Time Series Classification	2025-01-23
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data	2025-01-23	29 pa... 29 pages, 2 figures, 16 tables
Reconstructing ecological community dynamics from limited observations	2025-01-23
Information-theoretic limits and approximate message-passing for high-dimensional time series	2025-01-23
Determining The Number of Factors in Two-Way Factor Model of High-Dimensional Matrix-Variate Time Series: A White-Noise based Method for Serial Correlation Models	2025-01-23
Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management	2025-01-23
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality	2025-01-23	Accep... Accepted to AAAI 2025

Trajectory

Title	Date	Comment
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
TAME: Temporal Audio-based Mamba for Enhanced Drone Trajectory Estimation and Classification	2025-01-19	This ... This paper has been accepted for presentation at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses
Audio Array-Based 3D UAV Trajectory Estimation with LiDAR Pseudo-Labeling	2025-01-19	Accepted for ICASSP
Three-dimensional Trajectory Optimization for Quadrotor Tail-sitter UAVs: Traversing through Given Waypoints	2025-01-18
Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments	2025-01-18
On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression	2025-01-17	AAMAS 2025

Graph Neural Networks

Title	Date	Comment
An Attentive Graph Agent for Topology-Adaptive Cyber Defence	2025-01-24
On the Homophily of Heterogeneous Graphs: Understanding and Unleashing	2025-01-24
Disentangled Condensation for Large-scale Graphs	2025-01-24
Backdoor Attack on Vertical Federated Graph Neural Network Learning	2025-01-24
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach	2025-01-24	Accep... Accepted in ACM The Web Conference 2025, WWW 2025
Convergence of gradient based training for linear Graph Neural Networks	2025-01-24	27 pages, 8 figures
GraFPrint: A GNN-Based Approach for Audio Identification	2025-01-24	Submi... Submitted to IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks	2025-01-24
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition	2025-01-24
Top Ten Challenges Towards Agentic Neural Graph Databases	2025-01-24	12 Pages
Motif-aware Attribute Masking for Molecular Graph Pre-training	2025-01-24
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks	2025-01-23	Accep... Accepted at AAAI 2025, DOI will be included after publication
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function	2025-01-23	48 pages, 4 figures
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression	2025-01-23
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling	2025-01-23	Accep... Accepted to SDM2025 (SIAM Data Mining 2025)