Latest 15 Papers - July 25, 2024

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Time Series

Title	Date	Comment
TimeInf: Time Series Data Contribution via Influence Functions	2024-07-23
Sortability of Time Series Data	2024-07-23	Contr... Contribution for the Causal Inference for Time Series Data Workshop at the 40th Conference on Uncertainty in Artificial Intelligence (CI4TS 2024)
Can time series forecasting be automated? A benchmark and analysis	2024-07-23
Bayesian Autoregressive Online Change-Point Detection with Time-Varying Parameters	2024-07-23	38 pa... 38 pages, 9 figures, 3 tables
The dynamics of the Reddit collective action leading to the GameStop short squeeze	2024-07-23
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis	2024-07-22	6 pag... 6 pages, 5 figures, IEEE Machine Learning and Signal processing 2024
Generalized functional dynamic principal component analysis	2024-07-22
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting	2024-07-22	35 pa... 35 pages, This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record will be published in a journal soon
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
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

Trajectory

Title	Date	Comment
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles	2024-07-23
Constrained Stein Variational Trajectory Optimization	2024-07-23	18 pa... 18 pages, 10 figures, 3 tables
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories	2024-07-22
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

Graph Neural Networks

Title	Date	Comment
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification	2024-07-23
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs	2024-07-23
Graph Neural Networks for Learning Equivariant Representations of Neural Networks	2024-07-23	In IC... In ICLR 2024. Source code: https://github.com/mkofinas/neural-graphs
E-TSL: A Continuous Educational Turkish Sign Language Dataset with Baseline Methods	2024-07-23	7 pag... 7 pages, 3 figures, 4 tables
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update	2024-07-23
E(n) Equivariant Topological Neural Networks	2024-07-23	36 pa... 36 pages, 11 figures, 9 tables
Ranking protein-protein models with large language models and graph neural networks	2024-07-23	14 pa... 14 pages. Detailed protocol to use our DeepRank-GNN-esm software to analyse models of protein-protein complexes
Counterfactual Learning on Graphs: A Survey	2024-07-23
AI-accelerated Discovery of Altermagnetic Materials	2024-07-23	46 pa... 46 pages; 23 figures; 4 tables
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation	2024-07-23	Prepr... Preprint Paper with 13 pages
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction	2024-07-23	Accep... Accepted to ICML 2024 (Oral)
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services	2024-07-23	9page... 9pages, 6figures, accepted by IEEE ICWS 2024 The International Conference on Web Services
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