Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels | Paper Citation Record

Observation d1314f5e-50cf-4fe2-b433-210bff9b025e · outbound

This paper cites 2026 , eprint=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2026 , eprint=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.276971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4796bbcd-a0e5-413f-bd6d-1bc75e2c0c69 · outbound

This paper cites Weighted minimum $\alpha$-Green energy problems.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Weighted minimum $\alpha$-Green energy problems

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:22:26.755319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e19835c6-f123-4d42-adcb-f7c8ec5361fa · outbound

This paper cites On the role of the point at infinity in Deny's principle of positivity of mass for Riesz potentials.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels On the role of the point at infinity in Deny's principle of positivity of mass for Riesz potentials

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:22:26.978137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 773bf7d3-066e-445b-8a55-adebf6002568 · outbound

This paper cites Riesz energy problems with external fields and related theory.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Riesz energy problems with external fields and related theory

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:22:26.961619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ffd6c9b1-012f-4c03-a099-170352036091 · outbound

This paper cites Ten equivalent definitions of the fractional Laplace operator.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Ten equivalent definitions of the fractional Laplace operator

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.295314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dd6b24-e079-45fd-874f-b53bea07f964 · outbound

This paper cites Wasserstein gradient flows for Coulomb discrepancies.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Wasserstein gradient flows for Coulomb discrepancies

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:22:26.740110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4efe2211-0cba-44e9-99ff-a5290df737df · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.303736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dce49a2-a4f5-4be4-8b02-827b099e0859 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.307250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5495fcef-22cb-407c-b696-b958b65e074b · outbound

This paper cites doi:10.1007/BFb0103945 , isbn =.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels doi:10.1007/BFb0103945 , isbn =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.310668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a27e4f9-59eb-4f56-b05f-5c15d048fb77 · outbound

This paper cites Sharp Rates of MMD Empirical Estimation with Power Kernels.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sharp Rates of MMD Empirical Estimation with Power Kernels

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:22:26.933811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aa943fa4-64cd-414b-ba16-677e7c6b4bfd · outbound

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

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels International Conference on Learning Representations , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.318121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6c2e11-7e18-40c8-ba98-7aceb3d82610 · outbound

This paper cites 2015 , eprint=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2015 , eprint=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.321590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d5a585-714f-4188-94b4-ad83adf891c0 · outbound

This paper cites On Kato-Ponce and fractional Leibniz.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels On Kato-Ponce and fractional Leibniz

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.325370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf229926-7b57-4a1f-8404-9d26e5ce9b95 · outbound

This paper cites ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.329048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926c803f-844e-4fac-9bb0-950aeda1a50a · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.332144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb9f28f-31b9-4225-9845-c8dbd857e97a · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.335511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f230926-dd8e-40e3-b28b-9fa5a8c68371 · outbound

This paper cites ESAIM Control Optim.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels ESAIM Control Optim

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:22:26.905898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6bf08a8-48b2-414d-95e6-d4fd95461fb0 · outbound

This paper cites Conference on learning theory , pages=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Conference on learning theory , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.342264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b85957a-ed9f-42dc-8789-c698e79858fe · outbound

This paper cites Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.345392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b0bf1d-bda3-4069-9984-4d67772df816 · outbound

This paper cites Stochastic Processes and their Applications , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Stochastic Processes and their Applications , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.348997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db29058-49a8-4330-8c46-2a83898675b5 · outbound

This paper cites NeurIPS , year=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels NeurIPS , year=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.352152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239a683d-0cf6-46f6-be74-67ea18af1074 · outbound

This paper cites Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.355447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c9f3484-734e-42b5-99a6-036e731f944f · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.358938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff3f17c-584c-40ac-bf99-3505146772c2 · outbound

This paper cites 4: applications of harmonic analysis , author=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 4: applications of harmonic analysis , author=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.361658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf24835-196e-4779-add8-31882a942b95 · outbound

This paper cites 2019 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2019 , publisher=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.364382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f72ef185-a5ce-4dc6-a700-57c826c895ff · outbound

This paper cites Equivalence of gradient flows and entropy solutions for singular nonlocal interaction equations in.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Equivalence of gradient flows and entropy solutions for singular nonlocal interaction equations in

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.367351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad993a12-01aa-4bb6-b381-c39c89af080b · outbound

This paper cites Wasserstein steepest descent flows of discrepancies with.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Wasserstein steepest descent flows of discrepancies with

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.370180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5993b7-9917-4d97-a693-d4e2499130e2 · outbound

This paper cites Generalization of an inequality by.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Generalization of an inequality by

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.373113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 048fb8c5-b98c-48b1-9830-16cf3d3797b8 · outbound

This paper cites 2008 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2008 , publisher=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.375995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afbd4b7-8c44-4d83-9a71-0fb77b9b87e4 · outbound

This paper cites Communications on Pure and Applied Mathematics , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Communications on Pure and Applied Mathematics , volume=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.378885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9760d6fc-312a-4515-b653-6e29a8d09f72 · outbound

This paper cites Communications in Partial Differential Equations , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Communications in Partial Differential Equations , volume=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.381669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0f9cb0-9991-483f-93c3-c04576d6211a · outbound

This paper cites European Congress of Mathematics , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels European Congress of Mathematics , volume=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.384590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2964a6b5-aaae-42f2-8784-baaf9083e859 · outbound

This paper cites Sharp conditions to avoid collisions in singular.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sharp conditions to avoid collisions in singular

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.387565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8b32f7-bcdc-45f1-b32f-c6d6e71b5c1f · outbound

This paper cites Uniqueness of the solution to the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Uniqueness of the solution to the

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.391256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3c2883-e66b-42f1-8a65-b1059f83f503 · outbound

This paper cites Communications on pure and applied mathematics , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Communications on pure and applied mathematics , volume=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.394626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4341a327-6e7e-42b2-b8c5-7e8107fcf44c · outbound

This paper cites A computational fluid mechanics solution to the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels A computational fluid mechanics solution to the

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.398070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff96bef4-14c1-494f-9d34-b141f69048ad · outbound

This paper cites Acta Mathematica , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Acta Mathematica , volume=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.401409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee33c4d8-19b0-489f-9509-b793009751d0 · outbound

This paper cites Advances in mathematics , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in mathematics , volume=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.404694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add4073e-1681-485e-bbb0-3724740a0f6d · outbound

This paper cites Finite-time blow-up of.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Finite-time blow-up of

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.408080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8018e7-5e1c-407c-bdec-d179896a96d9 · outbound

This paper cites Classical.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Classical

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.411595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4843fbc-b8eb-4957-8b30-4b785d5ef3e1 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels The Journal of Machine Learning Research , volume=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.414744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fef37c0-84ec-4364-b62d-97c2332a40f6 · outbound

This paper cites On the global convergence of.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels On the global convergence of

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.418065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a0c7c4-99a0-49ed-938b-25131cab66ea · outbound

This paper cites Journal of Differential Equations , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Journal of Differential Equations , volume=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.421481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4704fa8e-6709-4525-84d3-b6eb4813b3bf · outbound

This paper cites Characterization of translation invariant.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Characterization of translation invariant

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.424916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba030052-d3f2-4ea7-b2c7-69eef73eb4bd · outbound

This paper cites 2021 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2021 , publisher=

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.428529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1420a26a-4d2b-43ff-b6b4-4bbd7db9a425 · outbound

This paper cites SIAM Journal on Mathematical Analysis , author=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels SIAM Journal on Mathematical Analysis , author=

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.431850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa209e4e-b14b-45f7-b6c4-5ee2413a2011 · outbound

This paper cites Lectures on Coulomb and Riesz gases.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Lectures on Coulomb and Riesz gases

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.435780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34a2b60-fea7-49fa-a2b9-56623ff6b1de · outbound

This paper cites Sharp commutator estimates of all order for.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sharp commutator estimates of all order for

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.439599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16c537f-fe14-4f83-84a8-708cc251343c · outbound

This paper cites Mean field limit for.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Mean field limit for

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.443167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8f11fd-d028-47a5-9314-bcda1b6eaeb8 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:22:27.609608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4da9d2a0-d7c5-479a-9da1-a813a53410f3 · outbound

This paper cites Mean-field limits of.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Mean-field limits of

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.450993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc7bf9cf-682f-4396-b37b-04637f90c241 · outbound

This paper cites Hitchhiker's guide to the fractional.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Hitchhiker's guide to the fractional

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.600300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac8d41c6-9ccb-4a4b-ab2a-8f0913b166bb · outbound

This paper cites Sharp constants in the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sharp constants in the

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.591132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2525c7fb-34fa-4e07-8599-95e4eab06b9a · outbound

This paper cites 2001 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2001 , publisher=

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.461589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da7cfa7-8822-4705-87b3-5bbc9393d4eb · outbound

This paper cites On the Best Values of the Constants in the Theorems of.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels On the Best Values of the Constants in the Theorems of

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.575733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3c7dce9-0fe2-42a2-81ca-499771697495 · outbound

This paper cites , author=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels , author=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.565967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e336a959-5357-4531-8cb4-89049165b160 · outbound

This paper cites 1970 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 1970 , publisher=

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.556068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 78775176-ce43-43b2-b305-bee6d20031b0 · outbound

This paper cites Sharp inequalities for martingales with applications to the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sharp inequalities for martingales with applications to the

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.545419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 843192ea-3b06-4ae7-ab8c-4c15b2d71041 · outbound

This paper cites The variational formulation of the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels The variational formulation of the

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.480155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469cabcc-32d1-4319-bdba-1b42813236f6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in neural information processing systems , volume=

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.483953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936b229e-0627-45ba-b94a-3ef345202508 · outbound

This paper cites Advances in neural information processing systems , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in neural information processing systems , volume=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.487095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c624d9-83cc-4894-9eb2-b2db2c9b33f2 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.490859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3524516e-73a9-4f5a-9904-1f3758fca475 · outbound

This paper cites Advances in neural information processing systems , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in neural information processing systems , volume=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.494858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601c0387-8ec1-4a89-ba02-5427d425e4bd · outbound

This paper cites Sampling as optimization in the space of measures: The.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Sampling as optimization in the space of measures: The

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.503164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22a0c254-cbe1-43f7-8669-34720fe8e5e4 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.500940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03fd9638-f1ac-4ea2-9a8c-e731a6693c60 · outbound

This paper cites Accelerating.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Accelerating

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.486230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c223af8f-08fa-4622-b7c9-c0f64752823e · outbound

This paper cites Variational inference via.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Variational inference via

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.475699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01e7a443-7d7f-4e26-ba21-4ad257422a35 · outbound

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

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in Neural Information Processing Systems , volume=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.464949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b59e04b9-f769-42b8-a675-8e8d995a23d9 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.513175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c5bb06-629e-4037-aa60-6f8728878033 · outbound

This paper cites Interacting.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Interacting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.516549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10487580-0100-4acf-86ef-c851dca24484 · outbound

This paper cites Communications in applied mathematics and computational science , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Communications in applied mathematics and computational science , volume=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.520873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df303e9f-4afc-47de-9e9f-9f400c49ef83 · outbound

This paper cites Nonlinearity , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Nonlinearity , volume=

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.431563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7df8f5c8-5899-4266-a5ce-b2b6a4ec2532 · outbound

This paper cites Ensemble.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Ensemble

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.419362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b948a375-9a48-4d46-acad-f1f380290e57 · outbound

This paper cites Studies in Applied Mathematics , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Studies in Applied Mathematics , volume=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.533241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63617ceb-0b88-4443-939f-39832f3cd965 · outbound

This paper cites Communications in Mathematical Sciences , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Communications in Mathematical Sciences , volume=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.402200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13cc1c06-da9b-4040-b721-4d8b9ed32dfb · outbound

This paper cites Advances in applied probability , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Advances in applied probability , volume=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.541714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fe40ee-ba85-44bd-adc8-a2a3132f37f1 · outbound

This paper cites Regularized.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Regularized

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.384520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3de983d-c0ae-4382-b0e7-fe8f819fd618 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:22:27.372748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d77050b-c062-4d30-a6da-ced3a167a170 · outbound

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

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Proceedings of the National Conference on Artificial Intelligence , volume=

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.362718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 706b80b4-c10a-42e5-90f6-2376a2b91f00 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Journal of Machine Learning Research , volume=

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.352039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86704deb-ed7e-4d44-a82c-7a195eff5060 · outbound

This paper cites Bernoulli , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Bernoulli , volume=

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.341902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83c46bc7-c98a-4d27-b198-0a51ba447dc3 · outbound

This paper cites Universality, Characteristic Kernels and.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Universality, Characteristic Kernels and

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.330585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e667276-bf03-4c9e-bd60-e54b60100613 · outbound

This paper cites 2008 , publisher=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels 2008 , publisher=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.568722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e955b136-6e3e-4975-880b-012c1b53e648 · outbound

This paper cites (De)-regularized.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels (De)-regularized

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.311397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36f93bd9-4107-4b23-9600-4388da356481 · outbound

This paper cites Physica D: Nonlinear Phenomena , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Physica D: Nonlinear Phenomena , volume=

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.299283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7cdfdd4e-187b-4b6e-8622-f13de93b42e0 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:22:27.287633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 21de0ce5-6db5-4424-a23c-975f50801e6f · outbound

This paper cites Posterior Sampling Based on Gradient Flows of the.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Posterior Sampling Based on Gradient Flows of the

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.275802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d942c80-26cf-4948-b0d1-2bcc0a7a4156 · outbound

This paper cites Generative Sliced.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Generative Sliced

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.263661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation adaa4a62-e97a-4c36-9a95-6da7d9d47df9 · outbound

This paper cites Smoothed distance kernels for.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Smoothed distance kernels for

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.252384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 35cc554c-3adf-4859-b45c-e9b744dec11e · outbound

This paper cites Journal of Multivariate Analysis , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Journal of Multivariate Analysis , volume=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.595821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88c29df9-0237-46bb-a492-b5ba765f0d47 · outbound

This paper cites Bowling Green State University, Department of Mathematics and Statistics Technical Report , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Bowling Green State University, Department of Mathematics and Statistics Technical Report , volume=

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.233232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2be34198-79c4-40aa-9d0e-11deccc39e46 · outbound

This paper cites Journal of statistical planning and inference , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Journal of statistical planning and inference , volume=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.602896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0034b72f-753a-4b69-8e05-95a1e50bc66c · outbound

This paper cites Journal of Machine Learning Research , volume=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Journal of Machine Learning Research , volume=

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.606410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0fa61e-cfc6-41ea-bb23-c067bb9f1931 · outbound

This paper cites Global-in-time mean-field convergence for singular.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Global-in-time mean-field convergence for singular

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.205751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60d53c4e-dc51-4a27-8cab-f3b106ed2183 · outbound

This paper cites Commutators, mean-field, and supercritical mean-field limits for.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Commutators, mean-field, and supercritical mean-field limits for

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.192714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1c3481e-3346-448f-8d35-8175d377b0bc · outbound

This paper cites Wasserstein distances for vortices approximation of.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Wasserstein distances for vortices approximation of

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.181438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3dbe5353-9495-41be-9419-e6ee3c4126f5 · outbound

This paper cites Ecole d'.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Ecole d'

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.170695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ab86f1f-8a06-4fe8-a559-ea76b97e3666 · outbound

This paper cites Quantitative estimates of propagation of chaos for stochastic systems with.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Quantitative estimates of propagation of chaos for stochastic systems with

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:26.624331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa163f18-5b4d-4510-99ab-e661eeeacd95 · outbound

This paper cites Active Particles, Volume 4: Theory, Models, Applications , pages=.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Active Particles, Volume 4: Theory, Models, Applications , pages=

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:22:27.152648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b449f2a-8411-43c3-9e40-4f1a26931a29 · outbound

This paper cites an unresolved cited work.

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:22:27.141409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers