dimitra-maoutsa / odes_for_sdes Star 22 Code Issues Pull requests Deterministic particle dynamics for simulating Fokker-Planck probability flows python machine-learning sampling sde pde-solver fokker-planck-equation score-function-estimator score-matching score-based score-based-models fokkerplanck logarithmic-gradient Updated Mar 7, 2023 Jupyter Notebook
RakitinDen / pytorch-recursive-gumbel-max-trick Star 11 Code Issues Pull requests Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021 pytorch binary-tree arborescence perfect-matchings spanning-tree gumbel discrete-variables exponential-distribution score-function-estimator gradient-estimation gumbel-distribution neurips-2021 gumbel-max Updated Dec 11, 2021 Jupyter Notebook
dimitra-maoutsa / DeterministicParticleFlowControl Star 10 Code Issues Pull requests Discussions Repository for Deterministic Particle Flow Control framework python path-integral dynamical-systems kernel-methods pde stochastic-differential-equations sdes stochastic-optimal-control kernel-method score-function-estimator score-matching score-based score-based-models particle-flow path-integral-control logarithmic-gradient Updated Nov 13, 2022 Python
dimitra-maoutsa / score_function_estimators Star 0 Code Issues Pull requests collection of the score estimators I use score-function-estimator score-matching logarithmic-gradient score-functions hyvarinen Updated Oct 12, 2022 Jupyter Notebook