Veranstaltungen im Sommersemester 2023 / Seminar Master-Seminar:
Seminar Topic Time Series Forecasting,
List of papers:
Abstract
- DeepAR: Probabilistic forecasting with autoregressive recurrent networks.
- Probabilistic forecasting with temporal convolutional neural network.
- MULTIVARIATE PROBABILISTIC TIME SERIES FORECASTING VIA CONDITIONED NORMALIZING FLOWS.
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.
- Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.
- Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
- ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting.
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.
- Multi-Horizon Time Series Forecasting with Temporal Attention Learning.
- Adversarial Sparse Transformer for Time Series Forecasting.
