Latest 15 Papers - October 22, 2024

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Time Series

Title	Date	Comment
On the Regularization of Learnable Embeddings for Time Series Processing	2024-10-18
Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets	2024-10-18	8 pag... 8 pages, 4 figures, ACM format
Clustering of timed sequences -- Application to the analysis of care pathways	2024-10-18
ANT: Adaptive Noise Schedule for Time Series Diffusion Models	2024-10-18	NeurIPS 2024
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes	2024-10-18
Timeseria: an object-oriented time series processing library	2024-10-18
Predicting the trajectory of intracranial pressure in patients with traumatic brain injury: evaluation of a foundation model for time series	2024-10-18
wavScalogram: an R package with wavelet scalogram tools for time series analysis	2024-10-18	27 pages, 17 figures
SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery	2024-10-18
On time series clustering with k-means	2024-10-18
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction	2024-10-18	38th ... 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting	2024-10-18
Granger Causality in Extremes	2024-10-18
Timer: Generative Pre-trained Transformers Are Large Time Series Models	2024-10-18
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling	2024-10-18

Trajectory

Title	Date	Comment
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity	2024-10-18
DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation	2024-10-18
Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs	2024-10-18	8 pag... 8 pages, 6 figures. Accepted at IEEE Robotics and Automation Letters (RA-L). Code released at: https://github.com/MIT-SPARK/LP2
PTR: A Pre-trained Language Model for Trajectory Recovery	2024-10-18
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models	2024-10-18
Integrating spoken instructions into flight trajectory prediction to optimize automation in air traffic control	2024-10-18	This ... This paper has been accepted in principle by Nature Communications
Latent Weight Diffusion: Generating Policies from Trajectories	2024-10-17
SPF-EMPC Planner: A real-time multi-robot trajectory planner for complex environments with uncertainties	2024-10-17
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach	2024-10-17
GyroCopter: Differential Bearing Measuring Trajectory Planner for Tracking and Localizing Radio Frequency Sources	2024-10-16	For a... For a demonstration video, see https://youtu.be/OkmmQjD74Us
Geometric Trajectory Diffusion Models	2024-10-16	Publi... Published at NeurIPS 2024. 29 pages, 10 figures
Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories	2024-10-16
How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories	2024-10-16
Trajectory Manifold Optimization for Fast and Adaptive Kinodynamic Motion Planning	2024-10-16	12 pages, 11 figures
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)

Graph Neural Networks

Title	Date	Comment
Convergence of Manifold Filter-Combine Networks	2024-10-18	Accep... Accepted to NeurIPS Workshop on Symmetry and Geometry in Neural Representations (Extended Abstract Track)
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?	2024-10-18
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction	2024-10-18
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs	2024-10-18	Under review
Boosting Graph Pooling with Persistent Homology	2024-10-18	Publi... Published at NeurIPS 2024
Graph Neural Patching for Cold-Start Recommendations	2024-10-18	13 pa... 13 pages, accepted by Australasian Database Conference 2024. arXiv admin note: substantial text overlap with arXiv:2209.12215
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning	2024-10-18
Explainable Graph Neural Networks Under Fire	2024-10-18
CPT: Competence-progressive Training Strategy for Few-shot Node Classification	2024-10-18	arXiv... arXiv admin note: text overlap with arXiv:2206.11972 by other authors
Path-based Explanation for Knowledge Graph Completion	2024-10-18	Accepted by KDD 2024
Improving Graph Neural Networks by Learning Continuous Edge Directions	2024-10-18
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks	2024-10-18	12 pages, 8 figures
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information	2024-10-17
Trojan Prompt Attacks on Graph Neural Networks	2024-10-17
Learning Graph Quantized Tokenizers for Transformers	2024-10-17