recurrent models
- Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
- On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
- RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
- Titans: Learning to Memorize at Test Time
- xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories