Latest 15 Papers - June 11, 2024

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Time Series

Title	Date	Comment
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification	2024-06-07	This ... This preprint is the result of work in progress, therefore it should still be considered a draft
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach	2024-06-07
TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks	2024-06-07
TrendLSW: Trend and Spectral Estimation of Nonstationary Time Series in R	2024-06-07
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting	2024-06-07
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction	2024-06-07
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environments	2024-06-07
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting	2024-06-07	21 pa... 21 pages, 7 figures, 5 tables
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks	2024-06-07
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics	2024-06-07	ICML ... ICML 2024. Previously published as a workshop paper for the AAAI 2023 Workshop MLmDS as "Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems"
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting	2024-06-07
On the Identification of Temporally Causal Representation with Instantaneous Dependence	2024-06-07
TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting	2024-06-07
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction	2024-06-07
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling	2024-06-07

Trajectory

Title	Date	Comment
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree	2024-06-07	ICML ... ICML 2024 (Spotlight)
Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks	2024-06-07	Some ... Some statements in the introduction may be controversial
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories	2024-06-07
TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories	2024-06-07	Artif... Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications Workshop at IJCAI '24
DeTra: A Unified Model for Object Detection and Trajectory Forecasting	2024-06-06
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories	2024-06-06	ICML 2024 Accepted
Harmonious Group Choreography with Trajectory-Controllable Diffusion	2024-06-06
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories	2024-06-05	cvpr2... cvpr24 post camera ready
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach	2024-06-05	This ... This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
A High-Gain Observer Approach to Robust Trajectory Estimation and Tracking for a Multi-rotor UAV	2024-06-05	Submi... Submitted to ASME Journal of Dynamic Systems, Measurement and Control. Experiment video available at: https://youtu.be/oWcl4ydNLDs. arXiv admin note: text overlap with arXiv:2003.06390
Improved context-sensitive transformer model for inland vessel trajectory prediction	2024-06-04
Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models	2024-06-04
Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems	2024-06-04
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning	2024-06-04	Accep... Accepted to ACL 2024 Findings. arXiv admin note: text overlap with arXiv:2212.11382
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression	2024-06-04	This ... This paper was accepted by the 41st International Conference on Machine Learning (ICML 2024). The code for numerical experiments is available at https://github.com/dassein/cycloid_em_mlr

Graph Neural Networks

Title	Date	Comment
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback	2024-06-07	9 pag... 9 pages, accepted by ICML 2024, final version
Online Frequency Scheduling by Learning Parallel Actions	2024-06-07	9 pag... 9 pages, 5 figures, conference submission
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network	2024-06-07	ACL2024 Findings
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training	2024-06-07
Probabilistic Graph Rewiring via Virtual Nodes	2024-06-07	arXiv... arXiv admin note: text overlap with arXiv:2310.02156
QAGCF: Graph Collaborative Filtering for Q&A Recommendation	2024-06-07
Graph Mining under Data scarcity	2024-06-07	7 pages, 2 figures
GENIE: Watermarking Graph Neural Networks for Link Prediction	2024-06-07	20 pages, 12 figures
Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network	2024-06-07	4 pages, 4 figures
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks	2024-06-07	67 pa... 67 pages, 29 figures. Code is available at https://github.com/mllam/neural-lam/tree/prob_model_global (global forecasting) and https://github.com/mllam/neural-lam/tree/prob_model_lam (limited area modeling)
Uplift Modeling Under Limited Supervision	2024-06-07
S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis	2024-06-07	ACL2024(main)
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE	2024-06-07	The s... The short version of this work will appear in the Proceedings of the 2024 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
Graph Data Condensation via Self-expressive Graph Structure Reconstruction	2024-06-07
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning	2024-06-07