Toward Temporal Causal Representation Learning with Tensor Decomposition | Paper Citation Record

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This paper cites A review of causal discovery methods for molecular network analysis.

Toward Temporal Causal Representation Learning with Tensor Decomposition A review of causal discovery methods for molecular network analysis

Reference 2

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Toward Temporal Causal Representation Learning with Tensor Decomposition Unresolved cited work

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This paper cites Ho, Joydeep Ghosh, Steve R.

Toward Temporal Causal Representation Learning with Tensor Decomposition Ho, Joydeep Ghosh, Steve R

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This paper cites Denny, Abel Kho, You Chen, Bradley A.

Toward Temporal Causal Representation Learning with Tensor Decomposition Denny, Abel Kho, You Chen, Bradley A

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Toward Temporal Causal Representation Learning with Tensor Decomposition Smilde, and Evrim Acar

Reference 7

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This paper cites Discrimina- tive and distinct phenotyping by constrained tensor factorization.

Toward Temporal Causal Representation Learning with Tensor Decomposition Discrimina- tive and distinct phenotyping by constrained tensor factorization

Reference 8

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Reference 9

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This paper cites Feature extraction from unequal length heterogeneous ehr time series via dynamic time warping and tensor decomposition.

Toward Temporal Causal Representation Learning with Tensor Decomposition Feature extraction from unequal length heterogeneous ehr time series via dynamic time warping and tensor decomposition

Reference 10

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This paper cites Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, and Jimeng Sun.

Toward Temporal Causal Representation Learning with Tensor Decomposition Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, and Jimeng Sun

Reference 11

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This paper cites Papalexakis, Elizabeth Searles, Joyce Ho, and Jimeng Sun.

Toward Temporal Causal Representation Learning with Tensor Decomposition Papalexakis, Elizabeth Searles, Joyce Ho, and Jimeng Sun

Reference 12

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This paper cites Ho, William K.

Toward Temporal Causal Representation Learning with Tensor Decomposition Ho, William K

Reference 14

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This paper cites MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning.

Toward Temporal Causal Representation Learning with Tensor Decomposition MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning

Reference 15

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This paper cites Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms.

Toward Temporal Causal Representation Learning with Tensor Decomposition Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms

Reference 16

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This paper cites Elements of Causal Inference: Foun- dations and Learning Algorithms.

Toward Temporal Causal Representation Learning with Tensor Decomposition Elements of Causal Inference: Foun- dations and Learning Algorithms

Reference 17

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This paper cites Ravikumar, and Eric P.

Toward Temporal Causal Representation Learning with Tensor Decomposition Ravikumar, and Eric P

Reference 19

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This paper cites A Graph Autoencoder Approach to Causal Structure Learning.

Toward Temporal Causal Representation Learning with Tensor Decomposition A Graph Autoencoder Approach to Causal Structure Learning

Reference 20

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This paper cites Gradient-Based Neural DAG Learning.

Toward Temporal Causal Representation Learning with Tensor Decomposition Gradient-Based Neural DAG Learning

Reference 21

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This paper cites Dag-wgan: Causal structure learning with wasserstein generative adversarial networks.

Toward Temporal Causal Representation Learning with Tensor Decomposition Dag-wgan: Causal structure learning with wasserstein generative adversarial networks

Reference 22

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Reference 23

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This paper cites Hidalgo, Nicholas Blumm, Albert-L´ aszl´ o Barab´ asi, and Nicholas A.

Toward Temporal Causal Representation Learning with Tensor Decomposition Hidalgo, Nicholas Blumm, Albert-L´ aszl´ o Barab´ asi, and Nicholas A

Reference 24

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This paper cites Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes.

Toward Temporal Causal Representation Learning with Tensor Decomposition Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes

Reference 25

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This paper cites Regina Castro, Pedro J.

Toward Temporal Causal Representation Learning with Tensor Decomposition Regina Castro, Pedro J

Reference 26

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This paper cites Causal discovery from temporal data: An overview and new perspectives.

Toward Temporal Causal Representation Learning with Tensor Decomposition Causal discovery from temporal data: An overview and new perspectives

Reference 27

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This paper cites Semi-supervised parafac2 decomposition for compu- tational phenotyping using electronic health records.

Toward Temporal Causal Representation Learning with Tensor Decomposition Semi-supervised parafac2 decomposition for compu- tational phenotyping using electronic health records

Reference 28

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This paper cites Fedpar: Federated parafac2 tensor factorization for computational phenotyping.

Toward Temporal Causal Representation Learning with Tensor Decomposition Fedpar: Federated parafac2 tensor factorization for computational phenotyping

Reference 29

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Toward Temporal Causal Representation Learning with Tensor Decomposition Sch¨ onemann

Reference 30

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This paper cites Calhoun, T¨ ulay Adali, Rasmus Bro, Jeremy E.

Toward Temporal Causal Representation Learning with Tensor Decomposition Calhoun, T¨ ulay Adali, Rasmus Bro, Jeremy E

Reference 31

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Toward Temporal Causal Representation Learning with Tensor Decomposition Sidiropoulos, and Athanasios P

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Toward Temporal Causal Representation Learning with Tensor Decomposition Cohen, and Evrim Acar

Reference 33

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Toward Temporal Causal Representation Learning with Tensor Decomposition Federated learning of dynamic bayesian network via continuous optimization from time series data, 2025

Reference 34

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Toward Temporal Causal Representation Learning with Tensor Decomposition Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 36

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Toward Temporal Causal Representation Learning with Tensor Decomposition Parafac2—part i

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This paper cites Introductory Lectures on Convex Optimization: A Basic Course , volume 87 of Applied Optimization.

Toward Temporal Causal Representation Learning with Tensor Decomposition Introductory Lectures on Convex Optimization: A Basic Course , volume 87 of Applied Optimization

Reference 38

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Toward Temporal Causal Representation Learning with Tensor Decomposition Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems

Reference 39

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Toward Temporal Causal Representation Learning with Tensor Decomposition On the Convergence of Continuous Constrained Optimization for Structure Learning

Reference 40

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Toward Temporal Causal Representation Learning with Tensor Decomposition Tensorly: Tensor learning in python

Reference 41

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Toward Temporal Causal Representation Learning with Tensor Decomposition Mimic-iii, a freely accessible critical care database

Reference 42

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Toward Temporal Causal Representation Learning with Tensor Decomposition Hypertension as cardiovascular risk factor in chronic kidney disease

Reference 43

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Toward Temporal Causal Representation Learning with Tensor Decomposition Respiratory failure: A rare complication of chronic kidney disease mineral and bone disorder

Reference 45

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Toward Temporal Causal Representation Learning with Tensor Decomposition Siragy and Robert M

Reference 46

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Toward Temporal Causal Representation Learning with Tensor Decomposition Heart failure in patients with chronic kidney disease: A systematic integrative review

Reference 47

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Toward Temporal Causal Representation Learning with Tensor Decomposition Nadar and Gregory Y

Reference 48

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Toward Temporal Causal Representation Learning with Tensor Decomposition Frohlich, Carl Apstein, Aram V

Reference 49

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This paper cites Development of hypotension in patients newly diagnosed with heart failure in uk general practice: retrospective cohort and nested case-control analyses.

Toward Temporal Causal Representation Learning with Tensor Decomposition Development of hypotension in patients newly diagnosed with heart failure in uk general practice: retrospective cohort and nested case-control analyses

Reference 50

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Toward Temporal Causal Representation Learning with Tensor Decomposition Sepsis-induced myocardial dysfunction: pathophysiology and management

Reference 51

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Toward Temporal Causal Representation Learning with Tensor Decomposition Matthay, Kathleen D

Reference 52

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Toward Temporal Causal Representation Learning with Tensor Decomposition Gandhi, John C

Reference 53

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Toward Temporal Causal Representation Learning with Tensor Decomposition Unresolved cited work

Reference 54

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This paper cites Learning the structure of a nonstationary vector au- toregression.

Toward Temporal Causal Representation Learning with Tensor Decomposition Learning the structure of a nonstationary vector au- toregression

Reference 55

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This paper cites Identification of time-dependent causal model: a gaussian process treatment.

Toward Temporal Causal Representation Learning with Tensor Decomposition Identification of time-dependent causal model: a gaussian process treatment

Reference 56

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Toward Temporal Causal Representation Learning with Tensor Decomposition Physics-based gaussian process for the health monitoring for a rolling bearing

Reference 57

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This paper cites Multi-task gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing.

Toward Temporal Causal Representation Learning with Tensor Decomposition Multi-task gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing

Reference 58

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Observation 85009716-b7c8-421b-9153-e921754ab363 · outbound

This paper cites Deep gaussian process for enhanced bayesian optimization and its application in additive manufacturing.

Toward Temporal Causal Representation Learning with Tensor Decomposition Deep gaussian process for enhanced bayesian optimization and its application in additive manufacturing

Reference 59

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Observation 2544fa81-e0b2-470d-9631-2d5965cc6448 · outbound

This paper cites Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process.

Toward Temporal Causal Representation Learning with Tensor Decomposition Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process

Reference 60

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Observation cadd9cbc-2473-47ce-991b-ec5e106193a4 · outbound

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Toward Temporal Causal Representation Learning with Tensor Decomposition Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:15:49.107758Z

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Observation b3d2aaee-e922-492c-9f76-d58f08c16451 · outbound

This paper cites Global convergence of admm in nonconvex nonsmooth optimization.

Toward Temporal Causal Representation Learning with Tensor Decomposition Global convergence of admm in nonconvex nonsmooth optimization

Reference 62

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Observation aaf933a6-7cc4-4e5a-a57e-efb33f4017ac · outbound

This paper cites A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion.

Toward Temporal Causal Representation Learning with Tensor Decomposition A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion

Reference 63

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Observation 115185ae-0fae-4fa0-a714-355922c18d12 · outbound

This paper cites Convergence of descent methods for semi- algebraic and tame problems: Proximal algorithms, forward-backward splitting, and reg- ularized gauss-seidel methods.

Toward Temporal Causal Representation Learning with Tensor Decomposition Convergence of descent methods for semi- algebraic and tame problems: Proximal algorithms, forward-backward splitting, and reg- ularized gauss-seidel methods

Reference 64

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Observation 5af04c43-7382-4046-af45-b27e2c82fd1d · outbound

This paper cites Tyrrell Rockafellar and Roger J.

Toward Temporal Causal Representation Learning with Tensor Decomposition Tyrrell Rockafellar and Roger J

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:40.700744Z

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Observation b7d5d57e-419d-41d0-b271-a52019892231 · outbound

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Toward Temporal Causal Representation Learning with Tensor Decomposition Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:15:48.742832Z

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Observation 10114121-5063-40ea-9aa0-4e0d7a828a03 · outbound

This paper cites To prove this lemma, we need to show that each block of ∂L can be controlled by some constant depending on ρ.

Toward Temporal Causal Representation Learning with Tensor Decomposition To prove this lemma, we need to show that each block of ∂L can be controlled by some constant depending on ρ

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:48.542390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 693f4ab5-c745-4f7a-8970-699a9d2d797d · outbound

This paper cites uk and set it equal to zero: uk = 1 Ik Φ⊤Φ + ρk I −1 ρk v(t) k.

Toward Temporal Causal Representation Learning with Tensor Decomposition uk and set it equal to zero: uk = 1 Ik Φ⊤Φ + ρk I −1 ρk v(t) k

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:48.342576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ab29ee1-7739-4783-be9b-3c97df56b105 · outbound

This paper cites URL https://www.sciencedirect.

Toward Temporal Causal Representation Learning with Tensor Decomposition URL https://www.sciencedirect

Reference 464

Resolution: verified exact; doi, observed 2026-08-06T16:15:44.038321Z

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Observation 65c074e2-9138-4441-8b43-90ee53f58e59 · outbound

This paper cites Causal Inference in Recommender Systems: A Survey and Future Directions.

Toward Temporal Causal Representation Learning with Tensor Decomposition Causal Inference in Recommender Systems: A Survey and Future Directions

Reference 2022

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Observation ce60dde4-a83e-41a2-8fac-35ec3b5b31cd · outbound

This paper cites Epub 2024 Jun 12.

Toward Temporal Causal Representation Learning with Tensor Decomposition Epub 2024 Jun 12

Reference 2024

Resolution: verified exact; doi, observed 2026-08-06T16:15:41.162219Z

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