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| Scalable Learning in Reproducing Kernel Krein Spaces | Sep 6, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data | Sep 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data | Apr 9, 2021 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| Large-Scale Simulation of Multi-Asset Ising Financial Markets | Jan 18, 2018 | ClusteringTime Series | —Unverified | 0 |
| Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks | May 10, 2019 | Computational EfficiencyPrediction | —Unverified | 0 |
| Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping | Apr 24, 2022 | Contrastive LearningRepresentation Learning | —Unverified | 0 |
| Large Spectral Density Matrix Estimation by Thresholding | Dec 3, 2018 | Functional ConnectivityTime Series | —Unverified | 0 |
| Deciphering interventional dynamical causality from non-intervention systems | Jun 29, 2024 | Time Series | —Unverified | 0 |
| Initial conditions in the neural field model | May 23, 2016 | modelTime Series | —Unverified | 0 |
| Deep Learning for Time-Series Analysis | Jan 7, 2017 | Deep LearningGeneral Classification | —Unverified | 0 |
| Lasso Guarantees for Time Series Estimation Under Subgaussian Tails and β-Mixing | Feb 12, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks | Jul 15, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Lasso Inference for High-Dimensional Time Series | Jul 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems | Aug 4, 2024 | BenchmarkingComputational Efficiency | —Unverified | 0 |
| Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks | Jul 12, 2023 | Time Series | —Unverified | 0 |
| Learning Subjective Time-Series Data via Utopia Label Distribution Approximation | Jul 15, 2023 | Age EstimationDepth Estimation | —Unverified | 0 |
| Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting | Mar 20, 2023 | Meta-LearningRepresentation Learning | —Unverified | 0 |
| Attentive Gaussian processes for probabilistic time-series generation | Feb 10, 2021 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Latent Convergent Cross Mapping | Jan 1, 2021 | Causal InferenceTime Series | —Unverified | 0 |
| Latent Factor Analysis in Short Panels | Jun 24, 2023 | Time Series | —Unverified | 0 |
| Analysis of stock index with a generalized BN-S model: an approach based on machine learning and fuzzy parameters | Jan 22, 2021 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Latent mixed-effect models for high-dimensional longitudinal data | Sep 17, 2024 | Time SeriesVariational Inference | —Unverified | 0 |
| Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting | May 15, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 |