Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces | Paper Citation Record

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This paper cites arXiv preprint arXiv:2510.02757 , year=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces arXiv preprint arXiv:2510.02757 , year=

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This paper cites Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics , pages =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics , pages =

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This paper cites Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics , pages =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics , pages =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Gaussian Processes in Machine Learning

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces IEEE signal processing magazine , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Journal of basic Engineering , volume=

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Black box variational inference for state space models

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces International conference on artificial intelligence and statistics , pages=

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This paper cites Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces IEEE Transactions on Signal Processing , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Tambe-Ndonfack , journal =

Reference 13

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Layer Normalization

Reference 14

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

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This paper cites Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Journal of Machine Learning Research , volume=

Reference 17

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2021 , publisher=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces and Rao, B

Reference 19

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Math24 , year=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2021 , publisher=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2021 , organization=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2021 , organization=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Extending Path-Dependent

Reference 25

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This paper cites Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs

Reference 26

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces A first course in dynamics: With a panorama of recent developments , DOI=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2009 , publisher=

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This paper cites Algorithmic Finance , volume=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Algorithmic Finance , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Applied Soft Computing , volume=

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This paper cites 2017 IEEE 19th conference on business informatics (CBI) , volume=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2017 IEEE 19th conference on business informatics (CBI) , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces IEEE Transactions on Emerging Topics in Computational Intelligence , volume=

Reference 32

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This paper cites 2017 IEEE Symposium Series on Computational Intelligence (SSCI) , pages=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2017 IEEE Symposium Series on Computational Intelligence (SSCI) , pages=

Reference 33

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Journal of Forecasting , volume=

Reference 34

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces IEEE Transactions on Signal Processing , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2021 , url=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Bounded Variation and Around , year=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Advances in Psychology , volume=

Reference 38

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 1985 , institution=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Advances in Neural Information Processing Systems , volume=

Reference 40

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Scientific Reports , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces arXiv , year=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Probability and Measure , year =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Multivariate statistics: A vector space approach , year =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Journal of Mathematical Analysis and Applications , volume =

Reference 45

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2019 , journal=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2020 , journal=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Kiraly and Harald Oberhauser , title =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces and Caruana, Michael J

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Uniqueness for the signature of a path of bounded variation and the reduced path group , volume=

Reference 50

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2016 , journal=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2016 , journal=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2018 , eprint=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces 2016 , eprint=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Finance and Stochastics , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Mathematical Finance: An International Journal of Mathematics, Statistics and Financial Economics , volume=

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces BOUNDS AND ESTIMATORS OF A BASIC CONSTANT IN EXTREME VALUE THEORY OF

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Statistics & Probability Letters , volume =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Stochastics , volume =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces , address =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Bernoulli , number =

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Prediction Law of fractional

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Springer , Title =

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This paper cites Goldberger and Luis A.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Goldberger and Luis A

Reference 65

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Observation dd018de0-d0cc-4fad-90e3-374fe6a2c873 · outbound

This paper cites Andersen and Tim Bollerslev , Date-Added =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Andersen and Tim Bollerslev , Date-Added =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.627385Z

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Observation 44aad147-9101-40b9-a2c9-4621b4bde5fa · outbound

This paper cites Porcupine Neural Networks: (Almost) All Local Optima are Global.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Porcupine Neural Networks: (Almost) All Local Optima are Global

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.635030Z

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Observation 73145538-093e-4987-a96c-4861f2d1c1e4 · outbound

This paper cites Advances in Neural Information Processing Systems , Title =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Advances in Neural Information Processing Systems , Title =

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.647089Z

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Observation 9c942d2e-73b4-4e95-9795-084ee70a84b5 · outbound

This paper cites Journal of Optimization Theory and applications , Title =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Journal of Optimization Theory and applications , Title =

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Observation eb015bad-675d-4a8c-99e0-780b6cbd57f0 · outbound

This paper cites International Conference on Learning Representations , year=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces International Conference on Learning Representations , year=

Reference 70

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Monte Carlo Methods and Applications , Title =

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.681160Z

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Observation a96fc6d5-1788-423c-a7bf-97520a3d8475 · outbound

This paper cites Efficient Simulation of the Heston Stochastic Volatility Model , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Efficient Simulation of the Heston Stochastic Volatility Model , Year =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.693116Z

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Observation 45f65534-8890-489e-b9f3-c73132ff62bf · outbound

This paper cites Islam and C.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Islam and C

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.706412Z

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Observation df058376-878b-47c9-abd0-65418c52d39c · outbound

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.717987Z

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Observation c238d999-b835-4d40-adc0-dffea633e32d · outbound

This paper cites A simplified analytical approach for pricing discretely-sampled variance swaps with stochastic volatility , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces A simplified analytical approach for pricing discretely-sampled variance swaps with stochastic volatility , Year =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.783344Z

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Observation 39dd3132-b9bd-4e7a-8ba2-0431e1b27629 · outbound

This paper cites an unresolved cited work.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

Reference 76

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Observation 72b371c5-2e5b-42ab-9972-86b0cbfbfb7f · outbound

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Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Monte Carlo Methods and Applications , number =

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.903702Z

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Observation 49033c73-3f22-4409-9f8e-5c6bdeb57054 · outbound

This paper cites Wiley , Title =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Wiley , Title =

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.922353Z

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Observation 14c15fc5-bf44-4bb7-a7d5-f6c96aa7555f · outbound

This paper cites Probability in Banach spaces , Volume =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Probability in Banach spaces , Volume =

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:47.947256Z

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This paper cites Advances in Neural Information Processing Systems , volume=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Advances in Neural Information Processing Systems , volume=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.003421Z

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Observation 0d801120-71a3-4658-980f-12b9923b987d · outbound

This paper cites Adam: A Method for Stochastic Optimization , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Adam: A Method for Stochastic Optimization , Year =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.019780Z

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Observation ed30be94-770c-4108-92c3-24767b4c2e4e · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces PyTorch: An Imperative Style, High-Performance Deep Learning Library , Year =

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.022863Z

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Observation 4e513fda-32ae-4320-af70-d6bcca1b91cb · outbound

This paper cites an unresolved cited work.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.025724Z

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Observation 041db410-215a-41c9-8799-19d29f8107b1 · outbound

This paper cites Herrera and F.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Herrera and F

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.028440Z

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Observation 5d4b327f-639b-4fc2-95a3-6e2f96996764 · outbound

This paper cites Neural Stochastic Differential Equations: Deep Latent.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Neural Stochastic Differential Equations: Deep Latent

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.031144Z

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Observation feb85be3-7d36-4bf6-995f-15f27d1ba90e · outbound

This paper cites Symposium on Advances in Approximate Bayesian Inference , pages=.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Symposium on Advances in Approximate Bayesian Inference , pages=

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.033769Z

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Observation 254d73ba-3ffc-4876-bbfc-ecc3bd42423f · outbound

This paper cites and Pavliotis, G.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces and Pavliotis, G

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.036630Z

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Observation 1fd61874-a4ab-4241-b3df-11fc06c9f727 · outbound

This paper cites Comparative study of estimation methods for continuous time stochastic processes , Volume =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Comparative study of estimation methods for continuous time stochastic processes , Volume =

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.039336Z

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Observation a3159aca-18d4-436f-89ba-d193fa42203f · outbound

This paper cites Stan Hurn and K.A.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Stan Hurn and K.A

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.041842Z

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Observation 7de90844-bf2a-42f3-b326-b0e94a776b7d · outbound

This paper cites Assessing Asset-Liability Risk with Neural Networks , Volume =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Assessing Asset-Liability Risk with Neural Networks , Volume =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.044243Z

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Observation fe6c29f9-df56-43f1-8d9f-43ba7e26caf5 · outbound

This paper cites Local Lipschitz Bounds of Deep Neural Networks.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Local Lipschitz Bounds of Deep Neural Networks

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.046690Z

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Observation 11d34b38-f18f-41ff-acc3-53c8462f499a · outbound

This paper cites NeurIPS , Title =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces NeurIPS , Title =

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.049374Z

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Observation 01a10c51-38e7-48ed-b26d-34804b11f744 · outbound

This paper cites Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception , Volume =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception , Volume =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.051851Z

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Observation 36fde2e2-9dc5-412d-ac8d-ea37a4f51775 · outbound

This paper cites Golightly and D.J.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Golightly and D.J

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.054168Z

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Observation 9dcbdd99-b738-4db8-b139-a2bce695c048 · outbound

This paper cites an unresolved cited work.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.056668Z

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Observation 36620900-0c73-4f0e-b5a9-03449a45f712 · outbound

This paper cites Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals , Volume =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals , Volume =

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.059089Z

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Observation fbd4d0ce-d5a8-4850-9cb4-cbc048d6f2eb · outbound

This paper cites Stephen McGough and Dennis Prangle , Booktitle =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Stephen McGough and Dennis Prangle , Booktitle =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.061824Z

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Observation 960e4a8d-e761-4673-8bac-65ea64fc73d8 · outbound

This paper cites Variational Inference for Diffusion Processes , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Variational Inference for Diffusion Processes , Year =

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Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.064268Z

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Observation ee8f6628-029a-4d72-a18c-ff079c37463a · outbound

This paper cites an unresolved cited work.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.066693Z

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Observation 2aec6c0e-b610-44ef-b0d3-576e2ca44044 · outbound

This paper cites Stock market prediction with deep learning: A character-based neural language model for event-based trading , Year =.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Stock market prediction with deep learning: A character-based neural language model for event-based trading , Year =

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:48.069088Z

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