Latest 15 Papers - September 02, 2024

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Time Series

Title	Date	Comment
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation	2024-08-29
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation	2024-08-29
sEMG-Driven Physics-Informed Gated Recurrent Networks for Modeling Upper Limb Multi-Joint Movement Dynamics	2024-08-29
Bayesian mortality modelling with pandemics: a vanishing jump approach	2024-08-29
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification	2024-08-29
On-device AI: Quantization-aware Training of Transformers in Time-Series	2024-08-29	This ... This paper is accepted by 2023 IEEE International Conference on Pervasive Computing and Communications(PhD Forum)
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models	2024-08-29	11 pages, 5 figures
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis	2024-08-29	12 Pa... 12 Pages, 8 figures, short version accepted by PRICAI
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models	2024-08-28
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting	2024-08-28	For a... For accossiated repository, see https://github.com/Espalemit/VMD-With-LTSF-Linear.git
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need	2024-08-28	Code ... Code at https://github.com/lunaaa95/mou/
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers	2024-08-28	12 pages, 9 figures
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data	2024-08-28
Predictive maintenance solution for industrial systems -- an unsupervised approach based on log periodic power law	2024-08-28	14 pa... 14 pages, 4 figures, 1 table
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation	2024-08-28	Accep... Accepted by CIKM'2024

Trajectory

Title	Date	Comment
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
Geometric Artifact Correction for Symmetric Multi-Linear Trajectory CT: Theory, Method, and Generalization	2024-08-27	15 pages, 10 figures
Structured Deep Neural Networks-Based Backstepping Trajectory Tracking Control for Lagrangian Systems	2024-08-27
Fixed-time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor	2024-08-27
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments	2024-08-27	A tec... A technical report for our conference paper in 2024 American Control Conference (ACC)
Tora: Trajectory-oriented Diffusion Transformer for Video Generation	2024-08-27
Can Optimization Trajectories Explain Multi-Task Transfer?	2024-08-26	Pre-print
Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming	2024-08-26
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations	2024-08-26

Graph Neural Networks

Title	Date	Comment
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
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks	2024-08-29
CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots	2024-08-29	To th... To the best of our knowledge, it is the first study to employ the GNN for the FK problem of CDPRs. The first two authors have equal contributions. Videos and codes are available at https://sites.google.com/view/cafknet/site
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis	2024-08-29
The $μ\mathcal{G}$ Language for Programming Graph Neural Networks	2024-08-29
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies	2024-08-29	Publi... Published in the 34th Medical Informatics Europe Conference
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data	2024-08-29
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks	2024-08-29	This ... This is the technical report for the paper accepted to KDD 2024. 16 pages
Do Graph Neural Networks Work for High Entropy Alloys?	2024-08-29
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning	2024-08-29	Under Review
Mitigating Label Noise on Graph via Topological Sample Selection	2024-08-29	ICML 2024
A General Framework for Optimizing and Learning Nash Equilibrium	2024-08-29
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs	2024-08-29