Papers

• Physical models realizing the transformer architecture of large language models (2025)
  Zeqian Chen
  1.28
• The geomagnetic storm and Kp prediction using Wasserstein transformer (2025)
  Beibei Li
  1.06
• When are dynamical systems learned from time series data statistically accurate? (2024)
  Jeongjin Park and Nicole Yang and Nisha Chandramoorthy
  0.94
• Causal inference in time series in terms of R\'enyi transfer entropy (2022)
  Petr Jizba et al.
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• Ensemble forecasts in reproducing kernel Hilbert space family (2022)
  Benjamin Duf\'ee et al.
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• Spectrum of non-Hermitian deep-Hebbian neural networks (2022)
  Zijian Jiang and Ziming Chen and Tianqi Hou and Haiping Huang
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• Featurizing Koopman Mode Decomposition For Robust Forecasting (2023)
  David Aristoff et al.
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• Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization (2024)
  Xiaoyu Xie et al.
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• Chaotic attractor reconstruction using small reservoirs -- the influence of topology (2024)
  Lina Jaurigue
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• Quasi-potential and drift decomposition in stochastic systems by sparse identification (2024)
  Leonardo Grigorio and Mnerh Alqahtani
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• Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv Complexity and Its Application in Fault-Bearing Diagnosis (2024)
  Runze Jiang et al.
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