Clean-room PyTorch reproduction of learning Wasserstein gradient flows from snapshot data via particle stitching and Wasserstein residuals (arXiv:2607.04738).
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Oct 29, 2026 - Jupyter Notebook
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gradient-flow
Here are 31 public repositories matching this topic...
MILC collaboration's fork of the Quantum EXpressions lattice field theory framework
nim qcd nim-language gradient-flow nim-lang lattice-qcd quantum-chromodynamics milc lattice-qcd-calculations milc-qcd hisq highly-improved-staggered-quarks staggered-quarks kogut-susskind
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Oct 19, 2026 - Nim
Discreteness as the Late-Time Limit of a Smooth Flow
python dynamical-systems ising-model nonlinear-dynamics gradient-flow coarse-graining quantum-measurement kuramoto-model renormalization-group quantization-aware-training sine-gordon coupled-oscillators continuous-relaxation smooth-quantization ising-machines oscillator-networks non-equilibrium-physics
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Oct 15, 2026 - Python
From-scratch (pure NumPy) comparison of Explicit, Implicit & Newton gradient descent as discretizations of gradient flow.
machine-learning deep-learning neural-network optimization numpy linear-algebra educational gradient-descent numerical-methods hessian from-scratch gradient-flow newton-method second-order-optimization
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Oct 14, 2026 - Jupyter Notebook
Independent research on inactive-neuron entry-exit dynamics, with mathematical analysis, archived experiments, reproducibility guides, and a connected research roadmap.
reproducible-research optimization numpy mathematics pytorch transformer neural-networks dynamical-systems gradient-flow research-methodology relu independent-research softplus gelu dead-neurons singular-perturbation loss-of-plasticity
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Oct 11, 2026 - Python
Accelerated Stein Variational Gradient Descent for sampling for densities
information-theory sampling gradient-descent bayesian-inference gradient-flow sampling-methods svgd accelerated-gradient stein-method
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Sep 1, 2026 - Python
Lean 4 / Mathlib formalization of finite-N Kuramoto synchronization: ODE existence + uniqueness, order-parameter bounds, Lyapunov descent, and convergence to synchrony for all-to-all AND general symmetric coupling with a uniform positive off-diagonal floor. Sorry-free, axiom footprint {propext, Classical.choice, Quot.sound}.
synchronization theorem-proving dynamical-systems formal-verification hebbian-learning gradient-flow ai-safety lyapunov kuramoto-model mathlib max-cut lean4
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Aug 25, 2026 - Lean
A continuous-time geometric formulation of sorting as gradient flow on the permutohedron.
sorting geometry discrete-mathematics theoretical-computer-science gradient-flow complexity-theory permutohedron
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Jul 23, 2026 - Jupyter Notebook
A detailed-balanced chemical reaction network realized as a gradient flow, where equilibrium propagation is rigorous — the chemistry computes its own weight update (verified: local update == true gradient). Audits 'who computes the update?' across a co-location spectrum vs an offline ceiling. Part of physical-learning-substrates.
scientific-computing gradient-flow energy-based-model chemical-reaction-network equilibrium-propagation physical-learning mass-action-kinetics numpy-scipy deadman-publish
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Jun 24, 2026 - Python
Kinetic Adaptation via Wasserstein Heuristics and Identity
nba nba-stats trajectory-optimization wasserstein optimal-transport gradient-flow sports-analytics jax optuna basketball-analytics nba-tracking-data
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Mar 15, 2026 - Python
Analysis of the anisotropic Gradient Flow output of 1203.4469 for anisotropic lattice QCD gauge anisotropy determination and scale setting
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Feb 17, 2026 - Fortran
Learning as optimization & dynamical systems, autodiff, backprop, gradient flow from scratch.
backpropagation gradient-flow learning-dynamics dynamical-system jacobian-matrix math-theory discrete-time-systems euler-forward hassian-matrix momentum-inertia newtonian-motion
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Feb 9, 2026 - Jupyter Notebook
High-Dimensional Analysis of Gradient Flow for the Matrix Factorization Problem
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Jan 12, 2026 - Python
Unity Equilibrium Theory - Dual-field gradient flow simulator for phase dynamics
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Dec 20, 2025 - Python
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
mmd regularization sampling rkhs gradient-flow sampling-methods f-divergence wasserstein-gradient-flows particle-flow reproducing-kernel-hilbert-space
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Dec 19, 2025 - Python
Cobebase for my paper "Convergence of Shallow ReLU Networks on Weakly Interacting Data", accepted at NeurIPS 2025
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Oct 23, 2025 - Jupyter Notebook
[NeurIPS'25] Sequence Modeling with Spectral Mean Flows, in PyTorch
time-series pytorch maximum-mean-discrepancy gradient-flow tensor-networks spectral-decomposition operator-theory flow-matching
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Oct 20, 2025 - Python
Variational Filtering via Wasserstein Gradient Flow
kalman-filtering state-estimation variational-inference gradient-flow state-space-models wasserstein-distance
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Oct 8, 2025 - Python
Utilities of quantum theory of (higher-form) general gauge fields
julia mpi qcd hep four-dimensional hmc gradient-flow lattice-qcd three-dimensional hep-lat winding-number-algorithm
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Jun 9, 2025 - Julia
Discrete approximation to 3D winding number mapping T^3->U(N)
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Dec 12, 2024 - Mathematica
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