Latest 15 Papers - August 26, 2024

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Time Series

Title	Date	Comment
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting	2024-08-22
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair	2024-08-22	12 Pages
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features	2024-08-22	10 pages, 11 figures
Time Series Clustering with General State Space Models via Stochastic Variational Inference	2024-08-22	23 pages, 4 figures
Multi-Knowledge Fusion Network for Time Series Representation Learning	2024-08-22	Paper... Paper accepted at ML4IoT Workshop, International Conference on Learning Representations(ICLR) 2023
An Evaluation of Deep Learning Models for Stock Market Trend Prediction	2024-08-22
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning	2024-08-22	Paper... Paper is accepted at Knowledge-Based Compositional Generalization Workshop, International Joint Conferences on Artificial Intelligence(IJCAI-23)
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains	2024-08-22
Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations	2024-08-22
Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web services	2024-08-22
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach	2024-08-22	46 pages
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning	2024-08-22
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis	2024-08-22	30 pages
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting	2024-08-22
A Deconfounding Approach to Climate Model Bias Correction	2024-08-22

Trajectory

Title	Date	Comment
Beyond Shortsighted Navigation: Merging Best View Trajectory Planning with Robot Navigation	2024-08-22	7 pag... 7 pages, 8 figures, 5 tables
MuTT: A Multimodal Trajectory Transformer for Robot Skills	2024-08-22
Online state vector reduction during model predictive control with gradient-based trajectory optimisation	2024-08-21	18 pa... 18 pages, 4 figures, accepted to WAFR 2024
Comparative Analysis of NMPC and Fuzzy PID Controllers for Trajectory Tracking in Omni-Drive Robots: Design, Simulation, and Performance Evaluation	2024-08-21
TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation	2024-08-21
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates	2024-08-20	* Equal contribution
Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention	2024-08-20	81 pa... 81 pages (34 main, 47 supplementary), 8 figures (4 main, 4 supplementary), 29 tables (2 main, 27 supplementary)
DBHP: Trajectory Imputation in Multi-Agent Sports Using Derivative-Based Hybrid Prediction	2024-08-20
Towards reliable real-time trajectory optimization	2024-08-20	PhD T... PhD Thesis, University of Tartu, 2024. The thesis was defended on 21st of June. https://dspace.ut.ee/items/a65d36c9-afe7-44ab-b544-20236177ed79
Safety Metric Aware Trajectory Repairing for Automated Driving	2024-08-20
Semantic Trajectory Data Mining with LLM-Informed POI Classification	2024-08-19	7 pag... 7 pages, accepted for the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024)
Perfectly Undetectable Reflection and Scaling False Data Injection Attacks via Affine Transformation on Mobile Robot Trajectory Tracking Control	2024-08-19	15 pa... 15 pages, 17 figures. Manuscript under review for publication
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving	2024-08-19
TraDiffusion: Trajectory-Based Training-Free Image Generation	2024-08-19	The c... The code: https://github.com/och-mac/TraDiffusion
Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information	2024-08-16	This ... This article is accepted for publication in the 2024 European Signal Processing Conference (EUSIPCO)

Graph Neural Networks

Title	Date	Comment
Non-Homophilic Graph Pre-Training and Prompt Learning	2024-08-22	Under review
Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks	2024-08-22	16 pa... 16 pages, 1 figure. LREC-COLING 2024
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks	2024-08-22
Enhanced Expressivity in Graph Neural Networks with Lanczos-Based Linear Constraints	2024-08-22
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs	2024-08-22
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening	2024-08-22	Prepr... Preprint, under review
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs	2024-08-22	10 pages, 6 figures
Fair Augmentation for Graph Collaborative Filtering	2024-08-22
Rank and Align: Towards Effective Source-free Graph Domain Adaptation	2024-08-22	Publi... Published in IJCAI2024
Behavior Pattern Mining-based Multi-Behavior Recommendation	2024-08-22
Node classification in networks via simplicial interactions	2024-08-22
Graph Partial Label Learning with Potential Cause Discovering	2024-08-22
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting	2024-08-21	22 pa... 22 pages, 8 figures, 2 tables
PathMLP: Smooth Path Towards High-order Homophily	2024-08-21	Accep... Accepted by Neural Networks
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph	2024-08-21	Accep... Accepted at RecSys 2024 in the reproducibility track. arXiv admin note: substantial text overlap with arXiv:2308.10778