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structured-state-space-sequence-model

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1lmao / DeepSTPP-with-MambaSSM

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Spatial analysis using Deep Spatio Temporal Point Process (DeepSTPP) updated with state-of-the-art mamba state space model, using spatiotemporal Hawkes Process, spatiotemporal self-correcting process, NJ COVID-19 and Japanese earthquake data.

recurrent-neural-networks transformer spatial-analysis spatiotemporal mamba spatio-temporal encoder-decoder hawkes-process spatial-ai structured-state-space-models structured-state-space-sequence-model neural-temporal-point-processes spatiotemporal-hawkes-process spatiotemporal-self-correcting-process recurrent-marked-temporal-point-process neural-spatiotemporal-point-process self-correcting-point-process
  • Updated Jun 8, 2025
  • Python

aidxnis / DeepSTPP-with-MambaSSM

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DeepSTPP-with-MambaSSM enhances spatiotemporal event modeling by integrating the Mamba framework, improving efficiency and accuracy. Explore our implementation to see how it outperforms traditional methods in handling complex event sequences! 🐙🌟

recurrent-neural-networks transformer spatial-analysis spatiotemporal mamba spatio-temporal encoder-decoder hawkes-process spatial-ai structured-state-space-models structured-state-space-sequence-model neural-temporal-point-processes spatiotemporal-hawkes-process spatiotemporal-self-correcting-process recurrent-marked-temporal-point-process neural-spatiotemporal-point-process self-correcting-point-process
  • Updated Jun 28, 2025
  • Python

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