TIPreL uses a time- and position-dependent preconditioner in Langevin dynamics to address both global mode coverage and local exploration, with convergence proven in Wasserstein-2 distance under extended conditions.
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3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
A pruned enumerative search learns STL formulas for time-series classification without templates or restricted fragments.
AQ-Stacker claims an adaptive quantum algorithm reduces vector inner-product cost to O(log N) via Hadamard stacking and reaches 96% accuracy on MNIST.
citing papers explorer
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Time-Inhomogeneous Preconditioned Langevin Dynamics
TIPreL uses a time- and position-dependent preconditioner in Langevin dynamics to address both global mode coverage and local exploration, with convergence proven in Wasserstein-2 distance under extended conditions.
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Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques
A pruned enumerative search learns STL formulas for time-series classification without templates or restricted fragments.
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AQ-Stacker: An Adaptive Quantum Matrix Multiplication Algorithm with Scaling via Parallel Hadamard Stacking
AQ-Stacker claims an adaptive quantum algorithm reduces vector inner-product cost to O(log N) via Hadamard stacking and reaches 96% accuracy on MNIST.