Latest 15 Papers - October 14, 2024

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Time Series

Title	Date	Comment
Asynchronous Graph Generator	2024-10-10
Dynamic Interconnections between Corruption and Economic Growth	2024-10-10
Euclidean mirrors and first-order changepoints in network time series	2024-10-10
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations	2024-10-10	This ... This is the journal version of arXiv:2203.06717 and arXiv:2311.15599
MOMENT: A Family of Open Time-series Foundation Models	2024-10-10	Accep... Accepted at ICML'24. This is a revision. See changelog in the Appendix
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks	2024-10-10
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition	2024-10-10	Accep... Accepeted by the 2nd Workshop on Sustainable AI (AAAI24)
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python	2024-10-10
panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R	2024-10-10
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	2024-10-10	This ... This paper has been accepted for NeurIPS 2024. Code and data are available at https://github.com/ameliawong1996/From_News_to_Forecast
Task-oriented Time Series Imputation Evaluation via Generalized Representers	2024-10-10	22 pa... 22 pages, 9 figures, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification	2024-10-10	15 pages, 27 figures
Conditional Lagrangian Wasserstein Flow for Time Series Imputation	2024-10-10	13 pages, 2 figures
Density estimation with LLMs: a geometric investigation of in-context learning trajectories	2024-10-09
Rank Supervised Contrastive Learning for Time Series Classification	2024-10-09

Trajectory

Title	Date	Comment
Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks	2024-10-10	Some ... Some statements in the introduction may be controversial
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories	2024-10-10	Findi... Findings of EMNLP 2024
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications	2024-10-10
Generalized Consistency Trajectory Models for Image Manipulation	2024-10-10
Density estimation with LLMs: a geometric investigation of in-context learning trajectories	2024-10-09
A Rapid Trajectory Optimization and Control Framework for Resource-Constrained Applications	2024-10-09	This ... This work has been submitted to the IEEE ACC 2025 for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles	2024-10-09
Finite-Time Trajectory Tracking of a Four wheeled Mecanum Mobile Robot	2024-10-09
Task Coordination and Trajectory Optimization for Multi-Aerial Systems via Signal Temporal Logic: A Wind Turbine Inspection Study	2024-10-09	2 pag... 2 pages, Accepted for discussion at the workshop session "Formal methods techniques in robotics systems: Design and control" at IROS'24 in Abu Dhabi, UAE
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization	2024-10-09	7 pages, 1 figures
Trajectory Improvement and Reward Learning from Comparative Language Feedback	2024-10-08	8th A... 8th Annual Conference of Robot Learning (2024)
A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts	2024-10-08
PREDICT: Preference Reasoning by Evaluating Decomposed preferences Inferred from Candidate Trajectories	2024-10-08
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories	2024-10-08	Accep... Accepted for publication in the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection (GeoAnomalies'24)
SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting	2024-10-08

Graph Neural Networks

Title	Date	Comment
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection	2024-10-10
Learning Equivariant Non-Local Electron Density Functionals	2024-10-10
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance	2024-10-10	accep... accepted as a poster at NeurIPS 2024
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter	2024-10-10
A note on the VC dimension of 1-dimensional GNNs	2024-10-10	10 pages
The Descriptive Complexity of Graph Neural Networks	2024-10-10
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier	2024-10-10
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning	2024-10-10	15 pa... 15 pages, 12 figures, 6 tables, in IEEE Transactions on Aerospace and Electronics Systems, 2024
Collective variables of neural networks: empirical time evolution and scaling laws	2024-10-09	11 pages, 3 figures
On the Hölder Stability of Multiset and Graph Neural Networks	2024-10-09
Collusion Detection with Graph Neural Networks	2024-10-09
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning	2024-10-09
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds	2024-10-09
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention	2024-10-09
AdaRC: Mitigating Graph Structure Shifts during Test-Time	2024-10-09