Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries | Paper Citation Record

Observation bad68c01-ea65-47f3-a4f1-12bb477131be · outbound

This paper cites Roberts, and Paul Fearnhead.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Roberts, and Paul Fearnhead

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This paper cites Roberts, Alexandros Beskos, and Paul Fearnhead.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Roberts, Alexandros Beskos, and Paul Fearnhead

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This paper cites MCMC Analysis of Diffusion Models with Application to Finance.Journal of Business & Economic Statistics, 19(2):177–191, 2001.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries MCMC Analysis of Diffusion Models with Application to Finance.Journal of Business & Economic Statistics, 19(2):177–191, 2001

Reference 3

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Observation 8f3f4783-7a14-4565-a6a4-bbc77197b0a1 · outbound

This paper cites Likelihood Inference for Discretely Observed Nonlinear Diffusions.Econometrica, 69(4):959–993, 2001.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Likelihood Inference for Discretely Observed Nonlinear Diffusions.Econometrica, 69(4):959–993, 2001

Reference 4

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

Reference 5

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Observation 2a94e987-8768-4f25-a7d0-39e5f742d050 · outbound

This paper cites Particle Markov chain Monte Carlo methods.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(3):269–342, 2010.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Particle Markov chain Monte Carlo methods.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(3):269–342, 2010

Reference 6

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Observation 00cac87c-0c40-48dd-bd3d-38d72086f52d · outbound

This paper cites Bayesian Inference for Diffusions with Low-Frequency Observations.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Bayesian Inference for Diffusions with Low-Frequency Observations

Reference 7

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Observation 70982bc5-4b6d-4b9d-9b5b-72accdbfd8c8 · outbound

This paper cites Roberts and Osnat Stramer.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Roberts and Osnat Stramer

Reference 8

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Observation 9be1e947-cedb-477e-9795-3d8466032d3c · outbound

This paper cites Springer-Verlag, New York, Heidelberg, 1972.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Springer-Verlag, New York, Heidelberg, 1972

Reference 9

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

Reference 10

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Observation 5ec19eb9-d870-4c40-b60c-223a94e6ca19 · outbound

This paper cites DGM: A deep learning algorithm for solving partial differential equations.Journal of Computational Physics, 375:1339–1364, 2018.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries DGM: A deep learning algorithm for solving partial differential equations.Journal of Computational Physics, 375:1339–1364, 2018

Reference 11

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This paper cites Solving high-dimensional partial differential equations using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505– 8510, 2018.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Solving high-dimensional partial differential equations using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505– 8510, 2018

Reference 12

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Observation 05817e85-c9c9-48e8-94bc-4d499225482b · outbound

This paper cites Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang

Reference 13

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

Reference 14

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

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Observation 2b4dbcf1-5ddf-4a37-8930-74de0a2ba8c7 · outbound

This paper cites Learning the temporal evolution of multivariate densities via normalizing flows.Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(3), 2022.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Learning the temporal evolution of multivariate densities via normalizing flows.Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(3), 2022

Reference 16

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This paper cites Adaptive deep density approximation for Fokker-Planck equations.Journal of Computational Physics, 457:111080, 2022.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Adaptive deep density approximation for Fokker-Planck equations.Journal of Computational Physics, 457:111080, 2022

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Observation 595e7994-2d70-4496-a4d8-7ddc39824262 · outbound

This paper cites Solving Time Dependent Fokker-Planck Equations via Temporal Normalizing Flow.Communications in Computational Physics, 32(2):401–423, January 2022.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Solving Time Dependent Fokker-Planck Equations via Temporal Normalizing Flow.Communications in Computational Physics, 32(2):401–423, January 2022

Reference 18

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Observation da55f134-e50c-41fc-8240-7ed2aab5154a · outbound

This paper cites Characterizing possible failure modes in physics-informed neural networks.Advances in neural information processing systems, 34:26548–26560, 2021.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Characterizing possible failure modes in physics-informed neural networks.Advances in neural information processing systems, 34:26548–26560, 2021

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Observation e3f7b62e-02c3-4922-9b9d-26d6497c7e2f · outbound

This paper cites Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

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Observation 4ac8749e-db75-4f44-8511-7de56f9e19a0 · outbound

This paper cites Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models

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Observation e30b351e-3ebe-4191-b20f-52cd27ef21a0 · outbound

This paper cites Neural Galerkin schemes with active learning for high-dimensional evolution equations.Journal of Computational Physics, 496:112588, 2024.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Neural Galerkin schemes with active learning for high-dimensional evolution equations.Journal of Computational Physics, 496:112588, 2024

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Observation 961c026c-fd4c-4c87-a124-96278cccd54d · outbound

This paper cites Graham, Alexandre H.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Graham, Alexandre H

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Observation c6ea4e58-ac54-45d9-b812-d35a31c93c1d · outbound

This paper cites Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes.Statistics and Computing, 32(1):21, Feb 2022.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes.Statistics and Computing, 32(1):21, Feb 2022

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This paper cites Bayesian inference for non-synchronously observed diffusions.SIAM/ASA Journal on Uncertainty Quantification, 14(2):369–393, 2026.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Bayesian inference for non-synchronously observed diffusions.SIAM/ASA Journal on Uncertainty Quantification, 14(2):369–393, 2026

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This paper cites Bayesian inference from time series of allele frequency data using exact simulation techniques.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Bayesian inference from time series of allele frequency data using exact simulation techniques

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Observation 84a9464b-a736-4d69-aa55-e10ad9f151a0 · outbound

This paper cites Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes

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Observation f93a8fc2-2136-4332-b8a4-f36f3eea118c · outbound

This paper cites Inference for SDE Models via Approximate Bayesian Computation.Journal of Computational and Graphical Statistics, 23(4):1080–1100, 2014.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Inference for SDE Models via Approximate Bayesian Computation.Journal of Computational and Graphical Statistics, 23(4):1080–1100, 2014

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Towards Data-Conditional Simula- tion for ABC Inference in Stochastic Differential Equations.Bayesian Analysis, 21(1):309 – 339, 2026

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Observation e6b67227-740c-48e3-9bfe-d4d539aa57ff · outbound

This paper cites Black-box variational inference for stochastic differential equations.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Black-box variational inference for stochastic differential equations

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Observation 89bf3f33-c164-4a6d-ac5c-8a9a008bf9f9 · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Closed-form likelihood expansions for multivariate diffusions.The Annals of Statistics, 36(2):906–937, 2008

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Observation 8118ba1d-0522-4cf8-87dd-9872fe1753b9 · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Explicit form of approximate transition probability density functions of diffusion processes.Journal of Econometrics, 187(1):57–73, 2015

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Observation 47fd1f53-1721-4e5a-9dcf-f1807219f2b3 · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries A new delta expansion for multivariate diffusions via the Itô-Taylor expansion.Journal of Econometrics, 209(2):256–288, 2019

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Observation 08ec24d8-6577-4116-a5e6-96724c2f78be · outbound

This paper cites Iguchi and A.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Iguchi and A

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Observation 13e0d739-4468-4c5f-8b20-ded30b88b06b · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Pavliotis.Stochastic Processes and Applications

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Observation e8b1924d-11ad-415b-b72d-39ae5f68a8c3 · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Boundary conditions for computing densities in hybrid models via PDE methods.Stochastics, 84(5-6):705–718, 2012

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Observation 0d70b1e9-b71d-4221-b3b0-29302b89e8e0 · outbound

This paper cites Calibration of the Heston stochastic local volatility model: A finite volume scheme.International Journal of Financial Engineering, 08(01):2050048, 2021.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Calibration of the Heston stochastic local volatility model: A finite volume scheme.International Journal of Financial Engineering, 08(01):2050048, 2021

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries LSMR: An Iterative Algorithm for Sparse Least-Squares Problems.SIAM Journal on Scientific Computing, 33(5):2950–2971, 2011

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This paper cites Johnson, Samuel Kotz, and Narayanaswamy Balakrishnan.Continuous Univariate Distributions, Volume 2.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Johnson, Samuel Kotz, and Narayanaswamy Balakrishnan.Continuous Univariate Distributions, Volume 2

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Observation 783726d9-8ac2-424e-be37-e7b367baae3c · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Maximum likelihood estimation of stochastic volatility models.Journal of Financial Economics, 83(2):413–452, 2007

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Observation 7bb74099-6d94-4ecd-895a-107d082ea546 · outbound

This paper cites Cox, Jonathan E.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Cox, Jonathan E

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Observation 7ab8ded2-56ef-4f12-a6d7-13a035625980 · outbound

This paper cites Lamoureux and A.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Lamoureux and A

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

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Observation 70890f5e-c901-4ddd-a154-40533218ddab · outbound

This paper cites Springer, Berlin, Heidelberg, 2009.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Springer, Berlin, Heidelberg, 2009

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Observation dd056b68-2796-4e15-ab65-137ef3e59ac1 · outbound

This paper cites Ronald Gallant.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Ronald Gallant

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Observation 8b5e0fb9-bb10-447b-aa70-0d06727898e7 · outbound

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Bayesian Inference for Irreducible Diffusion Processes Using the Pseudo-Marginal Approach.Bayesian Analysis, 6(2):231–258, 2011

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

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Observation 10227d03-254a-464f-bc90-719670f8a046 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019

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This paper cites Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

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Observation 953e9c23-6281-40bd-bdcb-841e30d86473 · outbound

This paper cites Das, Silverio Foresi, and Rangarajan K.

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Das, Silverio Foresi, and Rangarajan K

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Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries Unresolved cited work

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Observation 5df877f8-4602-451d-a5d9-716f4a3081b3 · outbound

This paper cites ∂n2,m θl (τ)(x1 m) ∂x1m ≃δ x0((x0)m).

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries ∂n2,m θl (τ)(x1 m) ∂x1m ≃δ x0((x0)m)

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