Naga: Vedic Encoding for Deep State Space Models

arXiv:2511.13510 · cs.LG, cs.AI, cs.SY, eess.SY · Submitted 2025-11-17 · Read on arXiv

cs.LG, cs.AI, cs.SY, eess.SY

Submitted: 2025-11-17

Updated: 2026-10-12

Terminology

• State Space Model — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Layer Normalization
• Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
• Long-term Forecasting with TiDE: Time-series Dense Encoder
• PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Efficiently Modeling Long Sequences with Structured State Spaces
• Reformer: The Efficient Transformer
• Long-term series forecasting with Query Selector -- efficient model of sparse attention
• PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
• Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
• SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
• Mixture-of-Linear-Experts for Long-term Time Series Forecasting
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
• Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba
• Physics-Inspired Deep Learning Anti-Aliasing Framework in Efficient Channel State Feedback
• Are Transformers Effective for Time Series Forecasting?
• First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
• Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
• FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

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