Latest 15 Papers - November 11, 2024

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Time Series

Title	Date	Comment
Which bits went where? Past and future transfer entropy decomposition with the information bottleneck	2024-11-07	NeurI... NeurIPS 2024 workshop "Machine learning and the physical sciences" Camera ready
C3T: Cross-modal Transfer Through Time for Human Action Recognition	2024-11-07
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	2024-11-07	Accep... Accepted at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics	2024-11-07	19 pa... 19 pages, 15 figures, submitted to Elsevier
From CNN to ConvRNN: Adapting Visualization Techniques for Time-Series Anomaly Detection	2024-11-07
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model	2024-11-07
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention	2024-11-07
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis	2024-11-07	38th ... 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Series-to-Series Diffusion Bridge Model	2024-11-07
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification	2024-11-07	Accep... Accepted by Neural Information Processing Systems (NeurIPS) 2024
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning	2024-11-06	To be... To be published in the Proceedings of the 4th Machine Learning for Health symposium, Proceedings of Machine Learning Research (PMLR)
Effective Capacity of a Battery Energy Storage System Captive to a Wind Farm	2024-11-06
Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs	2024-11-06	51 pa... 51 pages, 9 figures, 6 tables
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis	2024-11-06
Estimating breakpoints between climate states in the Cenozoic Era	2024-11-06	Autho... Authors in alphabetical order

Trajectory

Title	Date	Comment
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation	2024-11-07	Proje... Project page: https://kmcode1.github.io/Projects/SG-I2V/
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory	2024-11-07
Online Omnidirectional Jumping Trajectory Planning for Quadrupedal Robots on Uneven Terrains	2024-11-07	Submitted to IJRR
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model	2024-11-07	10 pa... 10 pages, 3 figures, 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024)
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	2024-11-07	NeurI... NeurIPS 2024. Previously accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making. Jaewoo Lee and Sujin Yun are equal contribution authors
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching	2024-11-07
Optimal Convex Cover as Collision-free Space Approximation for Trajectory Generation	2024-11-06
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy	2024-11-06	Accep... Accept to CoRL 2024 Workshop on X-Embodiment Robot Learning
Biomechanics-Aware Trajectory Optimization for Navigation during Robotic Physiotherapy	2024-11-06	13 pa... 13 pages, 9 figures, under review
UniTraj: Universal Human Trajectory Modeling from Billion-Scale Worldwide Traces	2024-11-06
How to Drawjectory? -- Trajectory Planning using Programming by Demonstration	2024-11-06
Revisiting CNNs for Trajectory Similarity Learning	2024-11-05
NEOviz: Uncertainty-Driven Visual Analysis of Asteroid Trajectories	2024-11-05
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery	2024-11-04
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	2024-11-04	Accep... Accepted by NeurIPS 2024 (Camera-Ready Version). Project Page: https://hyper-sd.github.io/

Graph Neural Networks

Title	Date	Comment
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph	2024-11-07
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation	2024-11-07
Centrality Graph Shift Operators for Graph Neural Networks	2024-11-07
Cybercrime Prediction via Geographically Weighted Learning	2024-11-07	17 pa... 17 pages, 8 figures, Submitted to the International Jordanian Cybersecurity Conference 2024 (IJCC24)
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs	2024-11-07
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks	2024-11-07
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features	2024-11-07	Accep... Accepted in ACM Transactions on Software Engineering and Methodology (TOSEM)
Commute Graph Neural Networks	2024-11-07
Prompt-Based Spatio-Temporal Graph Transfer Learning	2024-11-07
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration	2024-11-07
ComFairGNN: Community Fair Graph Neural Network	2024-11-07
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck	2024-11-07
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics	2024-11-06	Tackl... Tackling Climate Change with Machine Learning Workshop at the 11th International Conference on Learning Representations (ICLR 2023)
Graph neural networks and non-commuting operators	2024-11-06	NeurIPS 2024
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction	2024-11-06