Latest 15 Papers - August 01, 2024

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Time Series

Title	Date	Comment
A changepoint approach to modelling non-stationary soil moisture dynamics	2024-07-30	21 pa... 21 pages for the main manuscript, 8 pages for the supplemental document
Interpretable Pre-Trained Transformers for Heart Time-Series Data	2024-07-30	14 pages, 5 figures
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation	2024-07-30	15 pa... 15 pages, 12 figure, 5 tables
ECATS: Explainable-by-design concept-based anomaly detection for time series	2024-07-30	14 pa... 14 pages, 8 figures, accepted to 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024)
Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT	2024-07-30
Detecting Causality in the Frequency Domain with Cross-Mapping Coherence	2024-07-30
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting	2024-07-30
Neuromorphic on-chip reservoir computing with spiking neural network architectures	2024-07-30	19 pa... 19 pages, 9 figures; single column
A federated large language model for long-term time series forecasting	2024-07-30
Homomorphic data compression for real time photon correlation analysis	2024-07-29
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios	2024-07-29
Time series forecasting with high stakes: A field study of the air cargo industry	2024-07-29	The 1... The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. SIGKDD, Barcelona, Spain, 6 page
Local Level Dynamic Random Partition Models for Changepoint Detection	2024-07-29
Reconstructing Global Daily CO2 Emissions via Machine Learning	2024-07-29
Leveraging Time-Series Foundation Models in Smart Agriculture for Soil Moisture Forecasting	2024-07-29	7 pag... 7 pages, accepted at KDD '24 - Fragile Earth Workshop

Trajectory

Title	Date	Comment
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants	2024-07-30
Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting	2024-07-30
Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework for Self-supervised Trajectory Representation	2024-07-29	16 pa... 16 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
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model	2024-07-29
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections	2024-07-29
Motion Manifold Flow Primitives for Language-Guided Trajectory Generation	2024-07-29	12 pa... 12 pages, 10 figures, under review
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network	2024-07-29
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain	2024-07-28
Evaluating Human Trajectory Prediction with Metamorphic Testing	2024-07-26	MET'2... MET'24: 9th ACM International Workshop on Metamorphic Testing
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition	2024-07-25	ECCV 2024
Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios	2024-07-25	8 pag... 8 pages, accepted to be published at the 27th IEEE International Conference on Intelligent Transportation Systems, September 24 - 27, 2024, Edmonton, Canada
Sampling-Based Hierarchical Trajectory Planning for Formation Flight	2024-07-24
Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data	2024-07-24	Prese... Presented at Transportation Research Board Annual Meeting 2024. Presentation number: TRBAM-24-02157
TLControl: Trajectory and Language Control for Human Motion Synthesis	2024-07-24
Reacting on human stubbornness in human-machine trajectory planning	2024-07-24

Graph Neural Networks

Title	Date	Comment
What Are Good Positional Encodings for Directed Graphs?	2024-07-30
Dynamic Spiking Framework for Graph Neural Networks	2024-07-30
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning	2024-07-30	9pages
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks	2024-07-30
Automated Physical Design Watermarking Leveraging Graph Neural Networks	2024-07-30	accep... accept to MLCAD24, code: https://github.com/ruisizhang123/PD_WM_GNN
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies	2024-07-30
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement	2024-07-30
Relaxed Equivariant Graph Neural Networks	2024-07-30	Exten... Extended abstract presented at the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at the 41st International Conference on Machine Learning, July 2024, Vienna, Austria
rLLM: Relational Table Learning with LLMs	2024-07-29
xAI-Drop: Don't Use What You Cannot Explain	2024-07-29
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification	2024-07-29
RelBench: A Benchmark for Deep Learning on Relational Databases	2024-07-29
Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution	2024-07-29
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation	2024-07-29	Accep... Accepted by CIKM 2024. 11 pages, 8 figures
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations	2024-07-29	32 pages