Latest 15 Papers - October 18, 2024

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Time Series

Title	Date	Comment
Context Matters: Leveraging Contextual Features for Time Series Forecasting	2024-10-16
Constrained Posterior Sampling: Time Series Generation with Hard Constraints	2024-10-16
Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing	2024-10-16
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series	2024-10-16	NeurI... NeurIPS 2024 Workshop: Self-Supervised Learning - Theory and Practice
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning	2024-10-16
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting	2024-10-16
Bias correction of quadratic spectral estimators	2024-10-16	Submi... Submitted to Biometrika, Miscelanea
Towards Neural Scaling Laws for Time Series Foundation Models	2024-10-16
Revisited Large Language Model for Time Series Analysis through Modality Alignment	2024-10-16
Discovering Leitmotifs in Multidimensional Time Series	2024-10-16
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching	2024-10-16
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics	2024-10-16
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting	2024-10-16
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling	2024-10-16	11 pa... 11 pages, 5 figures, submitted to KDD conference
Quantum Fourier Transform for Image Processing	2024-10-16	12 pages, 53 figures

Trajectory

Title	Date	Comment
Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories	2024-10-16
How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories	2024-10-16
Trajectory Manifold Optimization for Fast and Adaptive Kinodynamic Motion Planning	2024-10-16	12 pages, 11 figures
Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers	2024-10-15	8 pag... 8 pages, 6 figures, submitted to 2025 American Control Conference (ACC)
Tora: Trajectory-oriented Diffusion Transformer for Video Generation	2024-10-15
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction	2024-10-15
Explaining Learned Reward Functions with Counterfactual Trajectories	2024-10-15
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing	2024-10-15	17 pa... 17 pages, 9 figures. EMNLP 2024
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes	2024-10-15
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting	2024-10-15
TC4D: Trajectory-Conditioned Text-to-4D Generation	2024-10-14	ECCV ... ECCV 2024; Project Page: https://sherwinbahmani.github.io/tc4d
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction	2024-10-14	Accep... Accepted to be published as inpreceedings of the 2024 International Conference on Pattern Recognition (ICPR)
Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming	2024-10-14	12 pages, 6 figures
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships	2024-10-14	ACM MM2024 Oral
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems	2024-10-14

Graph Neural Networks

Title	Date	Comment
Just Ramp-up: Unleash the Potential of Regression-based Estimator for A/B Tests under Network Interference	2024-10-16
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting	2024-10-16
*[NAR-ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms](http://arxiv.org/abs/2410.11031v2)**	2024-10-16	17 pages, 9 figures
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks	2024-10-16
Federated Temporal Graph Clustering	2024-10-16	8 pages, 1 figure
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks	2024-10-16
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability	2024-10-16
An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars	2024-10-15	The a... The article has been published in the early access area on IEEE Xplore for the IEEE Transactions on Intelligent Vehicles (2024). This is the accepted version. Number of pages: 12 pages, Number of figures: 10
Regional Ocean Forecasting with Hierarchical Graph Neural Networks	2024-10-15	28 pa... 28 pages, 35 figures. Accepted to the Tackling Climate Change with Machine Learning workshop at NeurIPS 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks	2024-10-15
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification	2024-10-15	17 pages, 3 figures
The $μ\mathcal{G}$ Language for Programming Graph Neural Networks	2024-10-15
Towards Fair Graph Representation Learning in Social Networks	2024-10-15
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs	2024-10-15
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?	2024-10-15