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Paper Citation Record · LEDGER

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.02576.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.02576 v1

Coverage vector

measured 32 of 32 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T04:33:59.805701Z

measured 32 of 32 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation ece28350-e36a-47f0-aaa9-7058bd2f8308 · outbound

This paper cites SIAM Journal on Mathematics of Data Science3(2), 593–623 (2021).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration SIAM Journal on Mathematics of Data Science3(2), 593–623 (2021)

Reference 1

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Observation 6cb11317-e9f5-41f1-af85-5a3beebea6f4 · outbound

This paper cites Princeton University Press, Princeton, NJ (2008).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Princeton University Press, Princeton, NJ (2008)

Reference 2

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This paper cites SIAM Journal on Optimization22(1), 135–158 (2012).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration SIAM Journal on Optimization22(1), 135–158 (2012)

Reference 3

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This paper cites IEEE Transactions on Signal Processing69, 6195–6205 (2021).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Transactions on Signal Processing69, 6195–6205 (2021)

Reference 4

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This paper cites Society for Industrial and Applied Math- ematics (2019).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Society for Industrial and Applied Math- ematics (2019)

Reference 5

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Observation eebb259e-2d96-4ed9-b243-5606a54c898d · outbound

This paper cites Journal of the Operational Research Society 48(3), 334–334 (1997).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Journal of the Operational Research Society 48(3), 334–334 (1997)

Reference 6

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This paper cites SIAM Journal on Optimization10(4), 1196–1211 (2000).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration SIAM Journal on Optimization10(4), 1196–1211 (2000)

Reference 7

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Observation 9c0485c8-b64e-481e-97cf-fafb0f7b3a9d · outbound

This paper cites Springer Science & Business Media (2006).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Springer Science & Business Media (2006)

Reference 8

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This paper cites Cambridge Uni- versity Press (2023).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Cambridge Uni- versity Press (2023)

Reference 9

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This paper cites In: Proceedings of the 25th international conference on Machine learning, pp.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration In: Proceedings of the 25th international conference on Machine learning, pp

Reference 10

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This paper cites Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates

Reference 11

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Observation 501bd96a-4dc9-4676-8425-6affcd25ea70 · outbound

This paper cites Physica D: Nonlinear Phenomena53(2-4), 217–232 (1991).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Physica D: Nonlinear Phenomena53(2-4), 217–232 (1991)

Reference 12

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This paper cites SIAM (2019).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration SIAM (2019)

Reference 13

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This paper cites Journal of Optimization Theory and Applications 158, 33–64 (2013).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Journal of Optimization Theory and Applications 158, 33–64 (2013)

Reference 14

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Observation 65e001ff-4499-421c-bdcb-1bc13bf5d04f · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing60, 1–13 (2021).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Transactions on Geoscience and Remote Sensing60, 1–13 (2021)

Reference 15

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This paper cites IMA Journal of Numerical Analysis38(1), 495–517 (2018) 22 Shashwat Kumar et al.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IMA Journal of Numerical Analysis38(1), 495–517 (2018) 22 Shashwat Kumar et al

Reference 16

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This paper cites Kolmogorov extension.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Kolmogorov extension

Reference 17

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This paper cites IEEE Transactions on Geoscience and Remote Sensing55(9), 4925–4943 (2017).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Transactions on Geoscience and Remote Sensing55(9), 4925–4943 (2017)

Reference 18

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This paper cites Plos one20(10), e0332,383 (2025).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Plos one20(10), e0332,383 (2025)

Reference 19

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This paper cites The effect of smooth parametrizations on nonconvex optimization landscapes.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration The effect of smooth parametrizations on nonconvex optimization landscapes

Reference 20

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This paper cites From the simplex to the sphere: Faster constrained optimization using the Hadamard parametrization.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration From the simplex to the sphere: Faster constrained optimization using the Hadamard parametrization

Reference 21

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This paper cites IEEE Signal Processing Magazine31(1), 67–81 (2013).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Signal Processing Magazine31(1), 67–81 (2013)

Reference 22

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Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Unresolved cited work

Reference 23

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This paper cites Springer (2006).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Springer (2006)

Reference 24

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This paper cites IEEE Transactions on signal processing65(13), 3551–3582 (2017).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Transactions on signal processing65(13), 3551–3582 (2017)

Reference 25

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Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration IEEE Transactions on Signal Processing (2023)

Reference 26

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Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Unresolved cited work

Reference 27

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This paper cites Computational Statistics & Data Analysis61, 50–66 (2013).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Computational Statistics & Data Analysis61, 50–66 (2013)

Reference 28

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This paper cites Advances in Neural Information Processing Systems32(2019).

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration Advances in Neural Information Processing Systems32(2019)

Reference 29

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This paper cites In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 30

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This paper cites In: 2019 27th European Signal Processing Conference (EUSIPCO), pp.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration In: 2019 27th European Signal Processing Conference (EUSIPCO), pp

Reference 31

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This paper cites High-Dimensional Linear Regression via Implicit Regularization.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration High-Dimensional Linear Regression via Implicit Regularization

Reference 32

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