Latest 15 Papers - November 12, 2024

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Time Series

Title	Date	Comment
From CNN to ConvRNN: Adapting Visualization Techniques for Time-Series Anomaly Detection	2024-11-08
Response Theory via Generative Score Modeling	2024-11-08	In pr... In press. Includes supplementary material in the file supp_material.pdf
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs	2024-11-08	Accep... Accepted at NeurIPS 2024
Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series	2024-11-08	10 pages, 2 figures
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations	2024-11-08	Prese... Presented at IAC 2024
Unmasking the Role of Remote Sensors in Comfort, Energy and Demand Response	2024-11-08	13 Fi... 13 Figures, 8 Tables, 25 Pages. Published in Data-Centric Engineering Journal
Discovering Latent Structural Causal Models from Spatio-Temporal Data	2024-11-08
Robust estimation for high-dimensional time series with heavy tails	2024-11-07
Multivariate Probabilistic Time Series Forecasting with Correlated Errors	2024-11-07	38th ... 38th Conference on Neural Information Processing Systems (NeurIPS 2024). This paper extends the work presented in arXiv:2305.17028 to a multivariate setting
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
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

Trajectory

Title	Date	Comment
Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles	2024-11-08	IEEE ... IEEE Robotics and Automation Letters (RA-L); 8 pages; 7 figures
Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories	2024-11-08	Updat... Updated version, correction of the notation
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation	2024-11-07	Proje... Project page: https://kmcode1.github.io/Projects/SG-I2V/
Optimal Flow Matching: Learning Straight Trajectories in Just One Step	2024-11-07
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

Graph Neural Networks

Title	Date	Comment
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data	2024-11-08
xAI-Drop: Don't Use What You Cannot Explain	2024-11-08
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training	2024-11-08
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs	2024-11-08	Accep... Accepted at NeurIPS 2024
Streaming Network for Continual Learning of Object Relocations under Household Context Drifts	2024-11-08
Almost Surely Asymptotically Constant Graph Neural Networks	2024-11-08	NeurI... NeurIPS '24 camera-ready version; 10 body pages, 29 appendix pages, 11 figures
EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums	2024-11-08	Accep... Accepted at IEEE Trustcom 2024
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs	2024-11-08
GraphXAIN: Narratives to Explain Graph Neural Networks	2024-11-08	15 pages, 9 figures
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields	2024-11-08
Distributed-Order Fractional Graph Operating Network	2024-11-08
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction	2024-11-07
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks	2024-11-07	37 pa... 37 pages,25 figures, 10 tables
Exploiting the Structure of Two Graphs with Graph Neural Networks	2024-11-07
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph	2024-11-07