Co-occurring keywords · papers mentioning both
Papers
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
ICLR 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
NeurIPS 2024
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
AAAI 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis
ICML 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
NeurIPS 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
AAAI 2024
Shape analysis for time series
NeurIPS 2024
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
ICLR 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NeurIPS 2024
Sparse Graphical Linear Dynamical Systems
JMLR 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
AAAI 2024
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
IJCAI 2024
The Merit of River Network Topology for Neural Flood Forecasting
ICML 2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NeurIPS 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 2024
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series
JMLR 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
AAAI 2024
Towards Understanding Evolving Patterns in Sequential Data
NeurIPS 2024
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models
AAAI 2024
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
AISTATS 2023
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
NeurIPS 2023
Computationally Assisted Quality Control for Public Health Data Streams
IJCAI 2023
Early Discovery of Disappearing Entities in Microblogs
ACL 2023
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract)
AAAI 2023