conftrace_

time series

435 papers

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Also known as

TS

Co-occurring keywords

time series analysis (175) representation learning (6206) gaussian process (1200) bayesian inference (1907) variational inference (2069) causal inference (1630) causal discovery (460) dynamical system (398) time series forecasting (364) recurrent neural network (1790)

Papers

Nuclear Fusion Diamond Polishing Dataset NIPS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NIPS 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
Identifying Spatio-Temporal Drivers of Extreme Events NIPS 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
Neural Persistence Dynamics NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024
Sparse Graphical Linear Dynamical Systems JMLR 2024
An Online Bootstrap for Time Series AISTATS 2024
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024
From GARCH to Neural Network for Volatility Forecast AAAI 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
Language Models Still Struggle to Zero-shot Reason about Time Series EMNLP 2024