math.DS

Papers

• Warehouse storage and retrieval optimization via clustering, dynamical systems modeling, and GPU-accelerated routing (2025)
  Magnus Bengtsson et al.
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• A Learning Stability Profile for Finite-Dimensional Learning Dynamics (2026)
  Ronald Katende
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• Optimization of randomized neural networks for transfer operator approximation (2026)
  Mohammad Tabish et al.
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• Learning dynamical systems with biochemically informed neural ordinary differential equations (2026)
  Luis L. Fonseca et al.
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• Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing (2026)
  G Manjunath et al.
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• Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning (2026)
  Tianwei Wang et al.
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• The Hamilton-Jacobi Theory of Deep Learning (2026)
  Jose Marie Antonio Mi\~noza et al.
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• A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router (2026)
  O. M. Kiselev (Innopolis University et al.
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• Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics (2026)
  Matthew Smart et al.
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