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

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NIPS 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NIPS 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series AAAI 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024
Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024
When are dynamical systems learned from time series data statistically accurate? NIPS 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NIPS 2024
From GARCH to Neural Network for Volatility Forecast AAAI 2024
Exploiting Representation Curvature for Boundary Detection in Time Series NIPS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024