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Latest 15 Papers - September 05, 2024 #148

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Time Series

Title Date Comment
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting 2024-09-03
Publi...

Published in KDD'24 Research Track

Towards Explainable Traffic Flow Prediction with Large Language Models 2024-09-03 31pages, 16 figures
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models 2024-09-03 Accepted by ISSRE'24
Order-preserving pattern mining with forgetting mechanism 2024-09-02
Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations 2024-09-02
Sparse Discrete Empirical Interpolation Method: State Estimation from Few Sensors 2024-09-01
Minor...

Minor revisions. Accepted for publication in SIAM J. on Scientific Computing

Multimedia Traffic Anomaly Detection 2024-09-01
Public Transit Arrival Prediction: a Seq2Seq RNN Approach 2024-08-31
The power of visualizing distributional differences: Formal graphical $n$-sample tests 2024-08-31 23 pages, 17 figures
Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods 2024-08-30
Functional Sieve Bootstrap for the Partial Sum Process with Application to Change-Point Detection without Dimension Reduction 2024-08-30
Wasserstein multivariate auto-regressive models for modeling distributional time series 2024-08-30
Likelihood estimation for stochastic differential equations with mixed effects 2024-08-30
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters 2024-08-30 26 pages, 11 figures
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering 2024-08-30 6 pages, 6 figures

Trajectory

Title Date Comment
Fast and Certifiable Trajectory Optimization 2024-09-02
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos 2024-09-02
The p...

The project website: https://yufu-wang.github.io/tram4d/

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents 2024-09-02
Accep...

Accepted at NDSS 2025. The presented document here is the full version of our paper

DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation 2024-08-30 10 pages
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($Π$-MPC) 2024-08-30
8 pag...

8 pages, 3 figures; 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

Information-Based Trajectory Planning for Autonomous Absolute Tracking in Cislunar Space 2024-08-30
2024 ...

2024 AAS/AIAA Astrodynamics Specialist Conference

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control 2024-08-30
Fixed-time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor 2024-08-30
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes 2024-08-29
15 pa...

15 pages, 3 figures, 5 tables

Asynchronous Spatial-Temporal Allocation for Trajectory Planning of Heterogeneous Multi-Agent Systems 2024-08-29 8 pages
Time-Optimized Trajectory Planning for Non-Prehensile Object Transportation in 3D 2024-08-29
Accep...

Accepted to the European Robotic Forum (ERF) 2024

Pre-training on Synthetic Driving Data for Trajectory Prediction 2024-08-29
Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation 2024-08-28
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship 2024-08-28
Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints 2024-08-28

Graph Neural Networks

Title Date Comment
Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction 2024-09-03
Efficient Heterogeneous Graph Learning via Random Projection 2024-09-03
Accep...

Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)

Uplift Modeling Under Limited Supervision 2024-09-02
A General Framework for Optimizing and Learning Nash Equilibrium 2024-09-02
This ...

This is an incomplete draft, we need to make more modifications

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms 2024-09-01 ICLR 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks 2024-09-01
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations 2024-09-01
9 pag...

9 pages including appendix

Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations 2024-08-31 11 pages, 3 tables
Leveraging Graph Neural Networks to Forecast Electricity Consumption 2024-08-30
17 pa...

17 pages, ECML PKDD 2024 Workshop paper

Non-Homophilic Graph Pre-Training and Prompt Learning 2024-08-30 Under review
Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix 2024-08-30
Accep...

Accepted at ICONIP 2024

Graph Neural Networks in EEG-based Emotion Recognition: A Survey 2024-08-30
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration 2024-08-29
A GREAT Architecture for Edge-Based Graph Problems Like TSP 2024-08-29 15 pages, 7 figures
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification 2024-08-29 17 pages, 10 figures