conftrace_

time series

435 papers

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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

Conformal Prediction for Time Series with Modern Hopfield Networks NIPS 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NIPS 2023
Causal Discovery from Subsampled Time Series with Proxy Variables NIPS 2023
Federated learning of models pre-trained on different features with consensus graphs UAI 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting NIPS 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023
Graph Switching Dynamical Systems ICML 2023
Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NIPS 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting NIPS 2023
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts AAAI 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023
Learning Conditional Granger Causal Temporal Networks CLEAR 2023
Decoupling Local and Global Representations of Time Series AISTATS 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NIPS 2022
Theoretical analysis of deep neural networks for temporally dependent observations NIPS 2022
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models IJCNLP 2022
Efficient learning of nonlinear prediction models with time-series privileged information NIPS 2022