Latest 15 Papers - July 24, 2024

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Time Series

Title	Date	Comment
Non-parametric estimation of conditional quantiles for time series with heavy tails	2024-07-22
Dynamic Structural Causal Models	2024-07-22
MSegRNN:Enhanced SegRNN Model with Mamba for Long-Term Time Series Forecasting	2024-07-22
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference	2024-07-22	Inclu... Includes supplementary information
Breakpoint based online anomaly detection	2024-07-21	54 pages, 9 figures
TimeInf: Time Series Data Contribution via Influence Functions	2024-07-21
Deep State Space Recurrent Neural Networks for Time Series Forecasting	2024-07-21
TADA: Temporal Adversarial Data Augmentation for Time Series Data	2024-07-21
xLSTMTime : Long-term Time Series Forecasting With xLSTM	2024-07-21
Statistical Models for Outbreak Detection of Measles in North Cotabato, Philippines	2024-07-21
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models	2024-07-20	2024 ... 2024 11th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting	2024-07-20
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification	2024-07-20
A Bayesian workflow for securitizing casualty insurance risk	2024-07-19	31 pages, 7 figures
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past	2024-07-19

Trajectory

Title	Date	Comment
MuTT: A Multimodal Trajectory Transformer for Robot Skills	2024-07-22
Paths of A Million People: Extracting Life Trajectories from Wikipedia	2024-07-21	Accep... Accepted to ICWSM 2025. 15 pages
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment	2024-07-20	14 pages, 10 figures
Dataset Distillation by Automatic Training Trajectories	2024-07-19	The p... The paper is accepted at ECCV 2024
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation	2024-07-19
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios	2024-07-18
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations	2024-07-18
Exploring Robot Trajectory Planning -- A Comparative Analysis of Algorithms And Software Implementations in Dynamic Environments	2024-07-18
Deterministic Trajectory Optimization through Probabilistic Optimal Control	2024-07-18
Trajectory Planning Using Tire Thermodynamics for Automated Drifting	2024-07-17	This ... This manuscript was accepted from IEEE Intelligent Vehicle Symposium (IV 2024) and will be published late August
Forward Invariance in Trajectory Spaces for Safety-critical Control	2024-07-17	8 pages, 4 figures
UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings	2024-07-17
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions	2024-07-17	Accep... Accepted at ECCV 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles	2024-07-17
Trajectory and Power Optimization for Multi-UAV Enabled Emergency Wireless Communications Networks	2024-07-16	6 pages, 3 figures

Graph Neural Networks

Title	Date	Comment
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance	2024-07-22
Graph Condensation: A Survey	2024-07-22
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks	2024-07-22	37 pa... 37 pages, 7 figures, v1
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs	2024-07-22	Publi... Published in the Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 8 Pages, 12 Figures
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs	2024-07-22	Accepted to KDD'24
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation	2024-07-22	Prepr... Preprint Paper with 13 pages
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing	2024-07-21
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme	2024-07-21
A Spatio-Temporal Approach with Self-Corrective Causal Inference for Flight Delay Prediction	2024-07-21
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification	2024-07-21
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks	2024-07-20
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques	2024-07-20	10 pa... 10 pages, 6 figures, 2 tables
Subgraph Clustering and Atom Learning for Improved Image Classification	2024-07-20
SLInterpreter: An Exploratory and Iterative Human-AI Collaborative System for GNN-based Synthetic Lethal Prediction	2024-07-20
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation	2024-07-20