Latest 15 Papers - October 31, 2024

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Time Series

Title	Date	Comment
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions	2024-10-29	Proje... Project page and code are at https://nategillman.com/fourier-head
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection	2024-10-29
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	2024-10-29
Spatio-temporal count autoregression	2024-10-29	24 pa... 24 pages, 16 figures and 22 tables
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images	2024-10-29	32 pa... 32 pages, 5 figures, 5 tables
Exploring the Role of Token in Transformer-based Time Series Forecasting	2024-10-29
Reconstructing East Asian Temperatures from 1368 to 1911 Using Historical Documents, Climate Models, and Data Assimilation	2024-10-29	31 pa... 31 pages, 15 figures, 1 table
Stream-level flow matching from a Bayesian decision theoretic perspective	2024-10-28
VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models	2024-10-28
A Temporal Linear Network for Time Series Forecasting	2024-10-28
Reconstructing dynamics from sparse observations with no training on target system	2024-10-28	31 pages, 21 figures
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning	2024-10-28	This ... This work has been accepted at BigData 2024 on October 26, 2024, as a regular paper for oral presentation
Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures	2024-10-28	NeurI... NeurIPS 2024 Conference (Camera Ready Version)
Trajectory Flow Matching with Applications to Clinical Time Series Modeling	2024-10-28	NeurI... NeurIPS 2024 Spotlight
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark	2024-10-28

Trajectory

Title	Date	Comment
trajmsm: An R package for Trajectory Analysis and Causal Modeling	2024-10-29	19 pa... 19 pages, 13 tables, 3 figures
Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation	2024-10-29
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs	2024-10-29
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo	2024-10-28	Code ... Code available at https://github.com/modichirag/AtlasSampler
Trajectory Flow Matching with Applications to Clinical Time Series Modeling	2024-10-28	NeurI... NeurIPS 2024 Spotlight
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning	2024-10-28	This ... This paper has been submitted to the IEEE for potential publication
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction	2024-10-28	20 pa... 20 pages, accepted by IEEE TNNLS
TrajAgent: An Agent Framework for Unified Trajectory Modelling	2024-10-27	12 pa... 12 pages; the code will be openly accessible at: https://github.com/tsinghua-fib-lab/TrajAgent
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior	2024-10-27	Accep... Accepted by WACV 2025 (Round 1)
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?	2024-10-27	23 pages, 11 figures
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning	2024-10-26
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation	2024-10-25
Context-Aware Trajectory Anomaly Detection	2024-10-24
Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction	2024-10-24
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning	2024-10-24

Graph Neural Networks

Title	Date	Comment
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs	2024-10-29
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems	2024-10-29
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act	2024-10-29
Predicting solvation free energies with an implicit solvent machine learning potential	2024-10-29
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models	2024-10-29	6 pag... 6 pages, 2 figures. Accepted by IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis	2024-10-29
GLBench: A Comprehensive Benchmark for Graph with Large Language Models	2024-10-29
Backdoor Graph Condensation	2024-10-29	Revis... Revise the figures and add some discussions
Characterizing and Understanding HGNN Training on GPUs	2024-10-29	24 pa... 24 pages, 14 figures, to appear in ACM Transactions on Architecture and Code Optimization (ACM TACO)
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer	2024-10-29	15 pa... 15 pages, 4 figures, supporting information appended
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks	2024-10-28
Graph Classification Gaussian Processes via Hodgelet Spectral Features	2024-10-28	NeurI... NeurIPS 2024 Workshop on Bayesian Decision-Making and Uncertainty (Oral Presentation)
How Does Message Passing Improve Collaborative Filtering?	2024-10-28	Accep... Accepted to NeurIPS'24. Code available at: https://github.com/snap-research/Test-time-Aggregation-for-CF
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation	2024-10-28	10 pages, 3 figures
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures	2024-10-28