| A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | May 28, 2023 | Inductive BiasTime Series | CodeCode Available | 0 |
| Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers | May 28, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Time-Varying Vector Error-Correction Models: Estimation and Inference | May 28, 2023 | Time Series | —Unverified | 0 |
| Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study | May 28, 2023 | Adversarial RobustnessBackdoor Attack | —Unverified | 0 |
| An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data Mining | May 27, 2023 | PredictionTime Series | CodeCode Available | 0 |
| On random number generators and practical market efficiency | May 27, 2023 | Time Series | —Unverified | 0 |
| Duality in Multi-View Restricted Kernel Machines | May 26, 2023 | Time Series | CodeCode Available | 0 |
| Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction | May 26, 2023 | Decision MakingTime Series | —Unverified | 0 |
| Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology | May 26, 2023 | ClusteringCombinatorial Optimization | —Unverified | 0 |
| On the Generalization and Approximation Capacities of Neural Controlled Differential Equations | May 26, 2023 | Time Series | —Unverified | 0 |
