Latest 15 Papers - October 15, 2024

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Time Series

Title	Date	Comment
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection	2024-10-11
A physics-guided neural network for flooding area detection using SAR imagery and local river gauge observations	2024-10-11	18 pa... 18 pages, 6 figures, 57 cited references
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series	2024-10-11	appea... appeared at the workshop on Causal Representation Learning at NeurIPS 2024 (oral)
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series	2024-10-11	Publi... Published in Advanced Intelligent Systems
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators	2024-10-11
Generalizable autoregressive modeling of time series through functional narratives	2024-10-10
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

Trajectory

Title	Date	Comment
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing	2024-10-11	xTED ... xTED offers a novel, generic, flexible, simple and effective paradigm that casts cross-domain policy adaptation as a data pre-processing problem
Optimizing NeRF-based SLAM with Trajectory Smoothness Constraints	2024-10-11
Nonlinear second-order dynamics describe labial constriction trajectories across languages and contexts	2024-10-10
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

Graph Neural Networks

Title	Date	Comment
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck	2024-10-11	This ... This paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), code is available at GitHub repository (https://github.com/SJYuCNEL/brain-and-Information-Bottleneck/)
M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation	2024-10-11
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis	2024-10-11
Can Graph Learning Improve Planning in LLM-based Agents?	2024-10-11	Accep... Accepted by NeurIPS 2024
Enhanced Robot Planning and Perception through Environment Prediction	2024-10-11	289 p... 289 pages, 81 figures, 16 tables; Dissertation submitted to UMD to fulfill PhD requirement
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks	2024-10-11