Latest 15 Papers - November 05, 2024

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Time Series

Title	Date	Comment
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version	2024-11-01	16 pa... 16 pages. An extended version of "TEAM: Topological Evolution-aware Framework for Traffic Forecasting" accepted at PVLDB 2025
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli	2024-11-01
Graph Convolutions Enrich the Self-Attention in Transformers!	2024-11-01	Accep... Accepted to NeurIPS 2024. Jeongwhan Choi and Hyowon Wi are co-first authors with equal contributions
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting	2024-11-01
LSEAttention is All You Need for Time Series Forecasting	2024-11-01	7 pag... 7 pages with referencing, 1 figure, 3 tables
Large language models can be zero-shot anomaly detectors for time series?	2024-10-31	This ... This work is accepted by IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024)
Spatio-temporal count autoregression	2024-10-31	24 pa... 24 pages, 16 figures and 22 tables
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties	2024-10-31
TSI-Bench: Benchmarking Time Series Imputation	2024-10-31
In-Context Fine-Tuning for Time-Series Foundation Models	2024-10-31
The VIX as Stochastic Volatility for Corporate Bonds	2024-10-31	7 pag... 7 pages, 2 figures, 8 graphs. Keywords: stochastic volatility, autoregression, kurtosis
Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecasting	2024-10-31
On testing for independence between generalized error models of several time series	2024-10-31
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting	2024-10-31	Accep... Accepted by NeurIPS, 21 pages, and 8 figures
Case ID detection based on time series data -- the mining use case	2024-10-31	Prese... Presented at EdbA'24 - Fifth International Workshop on Event Data and Behavioral Analytics, ICPM 2024, Kopenhagen, Denmark

Trajectory

Title	Date	Comment
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior	2024-11-01	Accep... Accepted by WACV 2025 (Round 1)
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators	2024-10-31
Learning Cooperative Trajectory Representations for Motion Forecasting	2024-10-31	Accep... Accepted by NeurIPS 2024
GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation	2024-10-31	The s... The source code has been released. All feedbacks are welcome
Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction	2024-10-31	The t... The time complexity analysis in section 4.4 contains error; we overlooked the impact of the memory module
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling	2024-10-31	8 pag... 8 pages, 7 figures. Datasets, videos and code available at: https://transformermpc.github.io
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference	2024-10-31
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning	2024-10-31	NeurI... NeurIPS 2024 (Spotlight)
Dual Agent Learning Based Aerial Trajectory Tracking	2024-10-31
DisCo: Distributed Contact-Rich Trajectory Optimization for Forceful Multi-Robot Collaboration	2024-10-30
Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs	2024-10-30	8 pag... 8 pages, 6 figures. Accepted at IEEE Robotics and Automation Letters (RA-L). Code released at: https://github.com/MIT-SPARK/LP2
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning	2024-10-30	Accep... Accepted by NeurIPS 2024
Constrained Trajectory Optimization for Hybrid Dynamical Systems	2024-10-30	6 pages 4 figures
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots	2024-10-30
Choice between Partial Trajectories	2024-10-30

Graph Neural Networks

Title	Date	Comment
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN	2024-11-01	51 pages, 32 figures
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level	2024-11-01	Accep... Accepted by NeurIPS 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors	2024-11-01	Accep... Accepted by NeurIPS2024
GRANOLA: Adaptive Normalization for Graph Neural Networks	2024-10-31	NeurIPS 2024
NASM: Neural Anisotropic Surface Meshing	2024-10-31	SIGGR... SIGGRAPH Asia 2024 (Conference Track)
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks	2024-10-31	Accep... Accepted to NeurIPS 2024
PowerGraph: A power grid benchmark dataset for graph neural networks	2024-10-31	21 pa... 21 pages, 8 figures, conference paper
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains	2024-10-31	Accep... Accepted to NeurIPS 2024
Graph Learning for Numeric Planning	2024-10-31	Exten... Extended version of NeurIPS 2024 paper
Detecting text level intellectual influence with knowledge graph embeddings	2024-10-31
RAGraph: A General Retrieval-Augmented Graph Learning Framework	2024-10-31	NeurIPS 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module	2024-10-31	NeurIPS2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks	2024-10-31
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning	2024-10-31	19 pa... 19 pages, 7 figures, accepted at the NeurIPS 2024 workshop on Symmetry and Geometry in Neural Representations (NeurReps 2024)
Enhancing Chess Reinforcement Learning with Graph Representation	2024-10-31