Latest 15 Papers - October 17, 2024

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Time Series

Title	Date	Comment
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting	2024-10-15
Time-Series Foundation Model for Value-at-Risk	2024-10-15
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting	2024-10-15	Time ... Time series forecasting using LLMs
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations	2024-10-15
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations	2024-10-15	Confe... Conference paper under review
TADA: Temporal Adversarial Data Augmentation for Time Series Data	2024-10-15
Report on Female Participation in Informatics degrees in Europe	2024-10-15
Role of Delay in Brain Dynamics	2024-10-15	18 pa... 18 pages, 3 figures, 2 tables
PhysioFormer: Integrating Multimodal Physiological Signals and Symbolic Regression for Explainable Affective State Prediction	2024-10-15	45 pages
Regularized Estimation of High-Dimensional Matrix-Variate Autoregressive Models	2024-10-15
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns	2024-10-15	NeurI... NeurIPS 2024 Spotlight
TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles	2024-10-15
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba	2024-10-15
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series	2024-10-15	Accep... Accepted at ICDM 2024
Can LLMs Understand Time Series Anomalies?	2024-10-14

Trajectory

Title	Date	Comment
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
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy	2024-10-14	6 pag... 6 pages (excluding references), 1 table, 8 figures, submitted to ICRA 2025
On the Distribution of Probe Traffic Volume Estimated without Trajectory Reconstruction	2024-10-14	16 pages, 9 figures
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion	2024-10-14

Graph Neural Networks

Title	Date	Comment
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
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction	2024-10-15
Graph Neural Network based Active and Passive Beamforming for Distributed STAR-RIS-Assisted Multi-User MISO Systems	2024-10-15	13 pages, 7 figures
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting	2024-10-15	IEEE ... IEEE Transactions on Intelligent Transportation Systems Submission, 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting	2024-10-15
Backdoor Attack on Vertical Federated Graph Neural Network Learning	2024-10-15
Graph Continual Learning with Debiased Lossless Memory Replay	2024-10-15	Accep... Accepted by ECAI 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation	2024-10-15	Accepted by AAAI-24
FLAG: Financial Long Document Classification via AMR-based GNN	2024-10-15	8 pag... 8 pages, 3 figures, to be published in CIFEr Conference 2024 as "Semantic Graph Learning for Trend Prediction from Long Financial Documents"