Nate Yoder

Management Science and Operations Research · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 16 citations into it
• Signal Processing — 15 citations into it
• Artificial Intelligence — 11 citations into it
• Time-Series & Forecasting — 9 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Nate Yoder trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bryan Lim
2. Greg Richards
3. Nikolaos Kourentzes
4. John Cristian Borges Gamboa
5. Tian Zhou

Papers from Nate Yoder's perspective

Ordered by how strongly the researchers Nate Yoder trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
3. DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks (International Journal of Forecasting)
4. A Multi-Horizon Quantile Recurrent Forecaster
5. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (AAAI Conference on Artificial Intelligence)
6. Time series analysis, forecasting and control
7. Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift (International Conference on Learning Representations)
10. Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Their papers

• TSMixer: An all-MLP Architecture for Time Series Forecasting (2023) — 439 citations