Latest 15 Papers - June 05, 2024

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Time Series

Title	Date	Comment
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	2024-06-03
Likelihood Based Inference for ARMA Models	2024-06-03	The d... The developmental version of the R package used in this paper is available at the following GitHub repository: [e-mail]:jeswheel/arima2.git
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling	2024-06-03	Accep... Accepted at ICML 2024
Identifiability of total effects from abstractions of time series causal graphs	2024-06-03
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention	2024-06-03	Accep... Accepted as an Oral at ICML 2024, Vienna. The first two authors contributed equally
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	2024-06-03
Generating Reservoir State Descriptions with Random Matrices	2024-06-03	12 pages, 5 figures
Stochastic Optimal Control for Diffusion Bridges in Function Spaces	2024-06-03
Variational Schrödinger Diffusion Models	2024-06-03	ICML 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders	2024-06-02
Correctness Comparison of ChatGPT-4, Gemini, Claude-3, and Copilot for Spatial Tasks	2024-06-02	Submi... Submitted for review in Transactions in GIS
Testing for the extent of instability in nearly unstable processes	2024-06-01
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development	2024-06-01	publi... published at INFORMS Journal on Computing
A Random Forest-based Prediction Model for Turning Points in Antagonistic Event-Group Competitions	2024-06-01
Position: What Can Large Language Models Tell Us about Time Series Analysis	2024-06-01	Accep... Accepted by the 41st International Conference on Machine Learning (ICML 2024)

Trajectory

Title	Date	Comment
Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks	2024-06-03	Some ... Some statements in the introduction may be controversial
CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning	2024-05-31	8 pag... 8 pages, 7 figures. 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
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes	2024-05-31	15 pa... 15 pages, 3 figures, 5 tables
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction	2024-05-30
Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models	2024-05-30
Revisiting CNNs for Trajectory Similarity Learning	2024-05-30
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging	2024-05-30
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets	2024-05-29
DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots	2024-05-29
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex	2024-05-29	12 pages, 7 figures
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation	2024-05-28	The f... The first two authors contributed equally to the work. This work has been submitted for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression	2024-05-28
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	2024-05-28	Accep... Accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making. Jaewoo Lee and Sujin Yun are equal contribution authors
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree	2024-05-28	The 4... The 41st International Conference on Machine Learning (ICML 2024)
Chauhan Weighted Trajectory Analysis reduces sample size requirements and expedites time-to-efficacy signals in advanced cancer clinical trials	2024-05-28

Graph Neural Networks

Title	Date	Comment
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning	2024-06-03	32 pa... 32 pages, 3 figures, 4 tables, The 41st International Conference on Machine Learning (ICML 2024)
Graph External Attention Enhanced Transformer	2024-06-03	In Pr... In Proceedings of ICML 2024
PowerGraph: A power grid benchmark dataset for graph neural networks	2024-06-03	21 pa... 21 pages, 8 figures, conference paper
Uplift Modeling Under Limited Supervision	2024-06-03
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks	2024-06-03	Publi... Published in 2023 IEEE Global Communications Conference Workshops (GC Workshops)
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection	2024-06-03	Accep... Accepted by ACL 2024 findings
Graph Language Models	2024-06-03	Accep... Accepted at ACL 2024. 9 pages, 10 figures, 9 tables
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize	2024-06-03	9 pages
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling	2024-06-03	Accep... Accepted at ICML 2024
Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation	2024-06-03
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks	2024-06-03
GraphAny: A Foundation Model for Node Classification on Any Graph	2024-06-03	Prepr... Preprint. Work in progress
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks	2024-06-02
Spatio-Spectral Graph Neural Networks	2024-06-02	46 pa... 46 pages, 27 figures, 12 tables
Weisfeiler Leman for Euclidean Equivariant Machine Learning	2024-06-02