A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression | Paper Citation Record

Observation b3e47465-2251-4326-8789-475e3e8086fd · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.008004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c8ed89e-b6ed-46e1-93a8-875e45f173cf · outbound

This paper cites and Shipp, Stewart and Friston, Karl J.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Shipp, Stewart and Friston, Karl J

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.012111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7560b989-ca10-47b5-a10d-dc6f067ee2a9 · outbound

This paper cites and Murphy, Kevin , year = 2018, month = jul, pages =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Murphy, Kevin , year = 2018, month = jul, pages =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.016272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c4a911c-f08d-45eb-8077-b44ee96b142d · outbound

This paper cites Computationally Efficient Convolved Multiple Output.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Computationally Efficient Convolved Multiple Output

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.020456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036aae26-4274-4951-8419-979cda051432 · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Foundations and Trends in Machine Learning , volume =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.024745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5eaff5-477f-4dd8-b03e-8f267d4e0281 · outbound

This paper cites , year = 2012, month = jun, pages =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression , year = 2012, month = jun, pages =

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.028701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19c64fd-95c9-4968-9746-fe60deb84d70 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.033137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a63d485d-eabf-4d2f-bb80-e7211243cf4d · outbound

This paper cites Biosystems , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Biosystems , volume =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.037308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7272169-663d-4751-8bb1-24c7ad8f8e00 · outbound

This paper cites Declarative.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Declarative

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.041287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d55edb-b182-4eb4-85c0-0c0311b1352b · outbound

This paper cites doi:10.1007/978-3-319-20451-2 , urldate =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression doi:10.1007/978-3-319-20451-2 , urldate =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.045092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83517fe4-aed6-43ae-b2c7-3ec2a083cd67 · outbound

This paper cites and Nouri, Ali and Wingate, David , year = 2009, month = jun, series =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Nouri, Ali and Wingate, David , year = 2009, month = jun, series =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.049023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8528384c-49f7-4b5c-8fb4-0a3aeeebb52b · outbound

This paper cites A Bayesian Sampling Approach to Exploration in Reinforcement Learning.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression A Bayesian Sampling Approach to Exploration in Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.053488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b940aa56-2f6e-42c9-ac1d-93fe9daa7c1c · outbound

This paper cites Planning by Probabilistic Inference , booktitle =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Planning by Probabilistic Inference , booktitle =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.057893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c494bc5-26b3-4d1f-8675-031bcdd80416 · outbound

This paper cites Reinforcement.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Reinforcement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.061793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865264fb-d91e-4373-b84e-77c34937208c · outbound

This paper cites Reactive Message Passing for Scalable Bayesian Inference.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Reactive Message Passing for Scalable Bayesian Inference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.065717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cf8844-5be1-4eaa-9a11-a5c75379987f · outbound

This paper cites Reactive.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Reactive

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.070492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f99083a-a3d1-458e-84a4-0a43771e0d31 · outbound

This paper cites Software Impacts , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Software Impacts , volume =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.074444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c159f8-1fd1-42d4-a318-42558de95e8c · outbound

This paper cites doi:10.21105/joss.05161 , urldate =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression doi:10.21105/joss.05161 , urldate =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.078316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268a2679-f2a5-4e65-8c68-70bcd0a680ba · outbound

This paper cites ACM Computing Surveys (CSUR) , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression ACM Computing Surveys (CSUR) , volume =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.082259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7be383-e69e-42a3-af00-8e466e167d2a · outbound

This paper cites and Simpson, Daniel and Rue, H.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Simpson, Daniel and Rue, H

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.086280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b04b5ede-025b-4f11-bf92-71a225347a76 · outbound

This paper cites and Daulton, Samuel and Letham, Benjamin and Wilson, Andrew Gordon and Bakshy, Eytan , year = 2020, month = dec, series =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Daulton, Samuel and Letham, Benjamin and Wilson, Andrew Gordon and Bakshy, Eytan , year = 2020, month = dec, series =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.090230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c20f604-4e13-426a-a493-671228c0b726 · outbound

This paper cites Kalman filters as the steady-state solution of gradient descent on variational free energy.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Kalman filters as the steady-state solution of gradient descent on variational free energy

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.093789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e365257-f5be-45ab-9d34-bedcf452106d · outbound

This paper cites Reactive Probabilistic Programming , booktitle =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Reactive Probabilistic Programming , booktitle =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.098131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d2f66be-4ad1-4300-b0f9-266479a55c13 · outbound

This paper cites doi:10.1098/rstl.1763.0053 , urldate =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression doi:10.1098/rstl.1763.0053 , urldate =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.101932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed70d514-fa1b-4407-8431-5168beff987d · outbound

This paper cites Dynamic Markov Blanket Detection for Macroscopic Physics Discovery.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Dynamic Markov Blanket Detection for Macroscopic Physics Discovery

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.105620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3bef7e-8795-4d13-bf94-c4b1f0a69203 · outbound

This paper cites Unifying.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unifying

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.109705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a18cb03-6df9-4fed-a6ac-e92a111df89d · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.112809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49969cd3-15b6-4000-8e83-97ed8ed0363d · outbound

This paper cites Bulletin of the American Mathematical Society , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Bulletin of the American Mathematical Society , volume =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.116178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591f6cbb-7c5f-4810-973c-e9873c70670e · outbound

This paper cites Robustness in Identification and Control , author =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Robustness in Identification and Control , author =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.119238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4542116-b5bf-4808-bc6b-f4cecd96ed99 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.122256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8062d43d-1a01-44b9-a787-801e25b25dbb · outbound

This paper cites Dynamic Programming and Optimal Control:.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Dynamic Programming and Optimal Control:

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.125697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62121247-a3e9-4471-ae35-2b6bc6c6e7eb · outbound

This paper cites Julia: A Fresh Approach to Numerical Computing.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Julia: A Fresh Approach to Numerical Computing

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.128966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3bf694-1e6a-49f8-8b11-73d413c3507e · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.132342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d792e49-0c69-4683-84a1-2a7720b0ae13 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.135511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3513341-d921-4be5-8f21-d64171efd52d · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.139108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e64e3f-16c6-4cbb-aac3-8160c4dec502 · outbound

This paper cites , year = 2011, month = dec, journal =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression , year = 2011, month = dec, journal =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.143579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49291056-c72c-4c1b-8a85-5470e138a974 · outbound

This paper cites and Jordan, Michael I.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Jordan, Michael I

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.147279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45b13f4-6f03-4cb7-978b-ef5e492bbef8 · outbound

This paper cites and Kucukelbir, Alp and McAuliffe, Jon D.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Kucukelbir, Alp and McAuliffe, Jon D

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.151027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266cc1a7-403d-4055-b88b-9736c40570e0 · outbound

This paper cites Bayesian.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Bayesian

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.154759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b61234-d434-42e3-8a60-3895c750da46 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.158658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fc8ad9-ee1e-4ecf-9665-b078e330162e · outbound

This paper cites Biosystems Engineering , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Biosystems Engineering , volume =

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.162328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e902a4c9-a716-480d-854f-37c30799c213 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.165980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f30381-0abd-4391-9fff-d22a62174749 · outbound

This paper cites Artificial Intelligence , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Artificial Intelligence , volume =

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.169708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c9d1e0-a89c-44c1-a9aa-952f400a17ea · outbound

This paper cites and Williams, Christopher K.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Williams, Christopher K

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.174343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35023d05-ca02-4085-aa4a-66e17edce225 · outbound

This paper cites The International Journal of Robotics Research , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression The International Journal of Robotics Research , volume =

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.178051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d504418-287e-4722-b214-d150302cf990 · outbound

This paper cites Mat\'ern.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Mat\'ern

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.182040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b32ef9-e8dd-4d32-836c-106b71c39794 · outbound

This paper cites Trends in Cognitive Sciences , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Trends in Cognitive Sciences , volume =

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.185579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe2d16f-45f5-450f-ad7a-d7f848a4d76d · outbound

This paper cites Generating Sentences from a Continuous Space , booktitle =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Generating Sentences from a Continuous Space , booktitle =

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.189358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0825bf-34fd-4b10-a95d-72b4984fbfdf · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.193089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3631ab-42a5-44b1-9921-5c2b88a917d4 · outbound

This paper cites TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T00:33:52.642368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d3826d0-e88f-422c-94d9-185feafdb48c · outbound

This paper cites OpenAI Gym.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression OpenAI Gym

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.200663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c99434-e2ce-4f21-a957-bfa776f6b99f · outbound

This paper cites Risk Sensitive Path Integral Control.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Risk Sensitive Path Integral Control

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:33:52.603533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06aeb820-8713-4ced-91c1-df2aaf7d502b · outbound

This paper cites and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.208640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a447f0-81f2-430a-9451-29cb7777ac12 · outbound

This paper cites Scalable.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Scalable

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.212482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df58548-a268-4fae-b4c0-ef1140c26e43 · outbound

This paper cites and Kim, Chang Sub and McGregor, Simon and Seth, Anil K.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Kim, Chang Sub and McGregor, Simon and Seth, Anil K

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.215614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 575c6afe-390e-41f5-ab29-08966d62723b · outbound

This paper cites and Nguyen, Cuong V.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Nguyen, Cuong V

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.218763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b703969-b08b-41bf-9ddd-7daaf9c8852e · outbound

This paper cites Finding the Outliers in Scanpath Data , booktitle =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Finding the Outliers in Scanpath Data , booktitle =

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.221726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f0d3a7-fa4f-4895-97e9-451fd91404a1 · outbound

This paper cites Exploration by Random Network Distillation.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Exploration by Random Network Distillation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.224741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329747fa-8c01-4625-8d9d-8593a63f2f66 · outbound

This paper cites and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Marcus and Guo, Jiqiang and Li, Peter and Riddell, Allen , year = 2017, journal =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Marcus and Guo, Jiqiang and Li, Peter and Riddell, Allen , year = 2017, journal =

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.228071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0afe169-3bd3-4a9f-aae7-da81e0ebbbdd · outbound

This paper cites Lectures on Probability, Entropy, and Statistical Physics.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Lectures on Probability, Entropy, and Statistical Physics

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.231477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf38d57-9ab1-4a39-b2f1-23e2ccff5082 · outbound

This paper cites Stochastic Versions of the Em Algorithm: An Experimental Study in the Mixture Case , shorttitle =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Stochastic Versions of the Em Algorithm: An Experimental Study in the Mixture Case , shorttitle =

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.234664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee56a86e-f2f4-4f33-875a-59daf5b49afd · outbound

This paper cites Branching.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Branching

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.238318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2791dba5-974c-42d2-a616-19770d9e8f49 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.242098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666ea9b8-1bff-4f47-a2e7-b3bccbb931f9 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.246040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcea0f1-d0ac-4f12-8b0f-578a76ba131d · outbound

This paper cites Physical Review E , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Physical Review E , volume =

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.249572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b29ca3-7f42-415f-ba97-585e3c8634b4 · outbound

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

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Advances in Neural Information Processing Systems , volume =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.253297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9543d3bc-051d-4f80-a4e2-5fe6c86e0e77 · outbound

This paper cites Diffusion Policy:.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Diffusion Policy:

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.256929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d052467e-481e-4fc7-99fc-3df5d9d71ee1 · outbound

This paper cites International Journal of Systems Science , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression International Journal of Systems Science , volume =

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.260995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8a901f-2ab0-4dd4-872b-a13f2d67e0ea · outbound

This paper cites Temporal.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Temporal

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.264650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30151d7-97e0-44db-bd24-e5d2cd9e2a0f · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.268305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4fd6ec-6215-48e7-949c-303caed5eddc · outbound

This paper cites BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.271872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d45817b6-14e3-40cf-98fe-4fae5a655bff · outbound

This paper cites International.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression International

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.275832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff14446-7494-4d06-a91a-1f3dc4b32ea7 · outbound

This paper cites American journal of physics , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression American journal of physics , volume =

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.279399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3534d40a-0fd9-4b5e-ad10-3d9bf7bea36e · outbound

This paper cites and Heskes, T.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Heskes, T

Reference 74

Resolution: verified exact; doi, observed 2026-08-16T00:33:52.485301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a016581-435c-4cc6-b2ac-d3e1209230ca · outbound

This paper cites and Ramaker, B.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Ramaker, B

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.286702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404781a9-897f-4749-86cd-52d2274706da · outbound

This paper cites Active Inference on Discrete State-Spaces:.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Active Inference on Discrete State-Spaces:

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.290578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5133ff1-33e2-48b0-9116-09e546d53fdf · outbound

This paper cites Active Inference as a Model of Agency.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Active Inference as a Model of Agency

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.294178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 950c98c6-c1c0-4851-8c7f-49815242101d · outbound

This paper cites doi:10.5194/essd-15-317-2023 , urldate =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression doi:10.5194/essd-15-317-2023 , urldate =

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.298331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f77a14-88b7-4c07-89ce-47f47df2f8f2 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression IEEE Transactions on Geoscience and Remote Sensing , volume =

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.302173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e055e2d-46ac-4277-9221-b6e73197c823 · outbound

This paper cites and Gelfand, Alan E.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Gelfand, Alan E

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.305879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c545df-5285-45bf-954a-651624ae22fd · outbound

This paper cites Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.309715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43e56d3-bcb6-4dd8-9def-cc056996a682 · outbound

This paper cites Parallel.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Parallel

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.313365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8f05a8-1a00-4558-8482-837191b3e2eb · outbound

This paper cites , year = 2007, month = jun, pages =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression , year = 2007, month = jun, pages =

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.317048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac32ef8d-49b7-4291-896a-7f25e175c679 · outbound

This paper cites doi:10.1109/MMAR.2012.6347921 , urldate =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression doi:10.1109/MMAR.2012.6347921 , urldate =

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.320781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a71f651-fa4d-4289-9316-99e826ea7431 · outbound

This paper cites Theory of Probability:.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Theory of Probability:

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.324274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e915a9-845a-482b-8ba1-fe706121c72a · outbound

This paper cites Entropy , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Entropy , volume =

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.328092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a31d015-1c6f-4bf4-a7f6-dee80a345c4d · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.332045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a853947-6a05-4430-8418-e0d854c02e0f · outbound

This paper cites Expected.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Expected

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.336461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb45f78b-b64c-4906-9676-a2544f276b5b · outbound

This paper cites Journal of neural engineering , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Journal of neural engineering , volume =

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.340069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708036ed-cc4b-4bb5-9a62-9b8725e4461a · outbound

This paper cites TensorFlow Distributions.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression TensorFlow Distributions

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.343611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5656e416-ca4a-4098-a893-29f8bdebed31 · outbound

This paper cites IJCAI : proceedings of the conference , volume =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression IJCAI : proceedings of the conference , volume =

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.346988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab4dca1-9a2d-42e8-813f-07e3b413d4a1 · outbound

This paper cites Stochastic.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Stochastic

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.350166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db8b4143-f4db-4574-9fc3-a20f16e2c83a · outbound

This paper cites and Del Bello, U.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Del Bello, U

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.353104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 285a78d0-fdc9-460b-91b8-46a5daaf7ce2 · outbound

This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.356197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f59141-4755-467f-aa32-2e7fc5060c86 · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.359547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c24f3f0-9feb-46d6-a4d9-3e6f0db1a966 · outbound

This paper cites Optimal Learning:.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Optimal Learning:

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.362885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc38ef6-969a-4cd2-a6e5-2ff7e358c15c · outbound

This paper cites an unresolved cited work.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.365952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a216f33d-49c6-4f50-9402-7c48329b7c46 · outbound

This paper cites and Choo, Xuan and Bekolay, Trevor and DeWolf, Travis and Tang, Yichuan and Rasmussen, Daniel , year = 2012, month = nov, journal =.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression and Choo, Xuan and Bekolay, Trevor and DeWolf, Travis and Tang, Yichuan and Rasmussen, Daniel , year = 2012, month = nov, journal =

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.368972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd174571-0244-4399-a8de-a133003556ab · outbound

This paper cites RvS: What is Essential for Offline RL via Supervised Learning?.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression RvS: What is Essential for Offline RL via Supervised Learning?

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.372776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8477a4ed-54a2-4f8b-80ff-b2e894eac574 · outbound

This paper cites Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:59.377062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers