Latest 15 Papers - May 27, 2024

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Time Series

Title	Date	Comment
Conformal prediction for multi-dimensional time series by ellipsoidal sets	2024-05-23	Accep... Accepted by the Forty-first International Conference on Machine Learning (ICML 2024)
Large language models can be zero-shot anomaly detectors for time series?	2024-05-23
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs	2024-05-23
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System	2024-05-23
Efficient Algorithms for the Sensitivities of the Pearson Correlation Coefficient and Its Statistical Significance to Online Data	2024-05-23
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting	2024-05-23
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification	2024-05-23	Accepted at KDD 2024
FUSE: Fast Unified Simulation and Estimation for PDEs	2024-05-23
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study	2024-05-23	22 pages, 10 figures
Representative electricity price profiles for European day-ahead and intraday spot markets	2024-05-23	Suppl... Supplementary information (SI) included; Manuscript: 27 pages, 9 figures, 4 tables; SI: 7 pages, 5 figures, 2 tables
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators	2024-05-23
Retrieval-Augmented Mining of Temporal Logic Specifications from Data	2024-05-23
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting	2024-05-23
Text-Based Correlation Matrix in Multi-Asset Allocation	2024-05-23	4 pag... 4 pages, 4 figures, 1 tables
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift	2024-05-23	Learn... Learning Engineering Virtual Institute

Trajectory

Title	Date	Comment
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond	2024-05-23
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models	2024-05-23	Accep... Accepted at IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024
Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction	2024-05-23
Combining Constrained Diffusion Models and Numerical Solvers for Efficient and Robust Non-Convex Trajectory Optimization	2024-05-23
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning	2024-05-22	27 pa... 27 pages, 6 figures, 12 tables
Safe and Personalizable Logical Guidance for Trajectory Planning of Autonomous Driving	2024-05-22	Submi... Submitted to ITSC 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	2024-05-22	Proje... Project Page: https://hyper-sd.github.io/
Automatic Camera Trajectory Control with Enhanced Immersion for Virtual Cinematography	2024-05-21
Enhancing Interaction Modeling with Agent Selection and Physical Methods for Trajectory Prediction	2024-05-21	code:... code:https://github.com/kkk00714/ASPILin
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models	2024-05-21
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security	2024-05-20	10 pa... 10 pages, 5 figures, 1 tables
DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments	2024-05-20	20 pa... 20 pages. arXiv admin note: substantial text overlap with arXiv:2302.12873
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?	2024-05-20	20 pages, 8 figures
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving	2024-05-20
Trajectory-Based Individualized Treatment Rules	2024-05-20

Graph Neural Networks

Title	Date	Comment
Analysis of Atom-level pretraining with QM data for Graph Neural Networks Molecular property models	2024-05-23	6 pag... 6 pages + 10 Supplement Materials
Link Prediction with Relational Hypergraphs	2024-05-23
Almost Surely Asymptotically Constant Graph Neural Networks	2024-05-23	9 bod... 9 body pages, 28 appendix pages, 9 figures
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats	2024-05-23
On the data-driven description of lattice materials mechanics	2024-05-23
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks	2024-05-23
Explaining Graph Neural Networks via Structure-aware Interaction Index	2024-05-23	30 pages, ICML'24
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation	2024-05-23	Accepted by KDD 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks	2024-05-23
Graphcode: Learning from multiparameter persistent homology using graph neural networks	2024-05-23
Graph Sparsification via Mixture of Graphs	2024-05-23
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning	2024-05-23	ICML ... ICML 2024 Camera Ready (22 pages)
Graph Neural Networks with Diverse Spectral Filtering	2024-05-23	Accep... Accepted by Proceedings of the ACM Web Conference 2023 (WWW '23)
Automated Loss function Search for Class-imbalanced Node Classification	2024-05-23	ICML 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering	2024-05-23