Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:39.514391Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 1 inbound Pith citation observation for arXiv:2509.25507.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:39.514391Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T15:04:00.690647Z
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 103 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bf1d4b53-cd1c-4349-8df1-96e93c3f7cbe · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Neural network learning: Theoretical foundations
Reference 1
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Observation 4d756093-950e-4ee7-9811-73490afdfab3 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Towards principled methods for training generative adversarial networks
Reference 2
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Observation 792ec60e-8658-477e-9372-196bd76cc3d2 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Theory of reproducing kernels
Reference 3
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Observation e917eafc-fc61-4132-a8b3-e613d6016031 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A simple measure of conditional dependence
Reference 4
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Observation 77504cdb-bf9d-4f15-b829-1a5f27bfa667 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional sampling with monotone gans: From generative models to likelihood-free inference
Reference 5
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Observation d20dcbb1-379f-448a-80ff-f0c59c87009e · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Nearly-tight vc-dimension and pseudodimension bounds for piecewise linear neural networks
Reference 6
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Observation cef51985-793a-4898-baf6-ac2d165a9719 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Demystifying MMD GANs
Reference 7
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Observation 531cd8c2-47c3-490f-a79c-169fb438e6d8 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Convexity and measures of statistical association
Reference 8
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Observation d562f667-573b-43de-a9c4-69aad307fe7a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Concentration inequalities
Reference 9
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Observation 72ef9468-ba7c-416a-a724-a7b6df663cee · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Optional p \'o lya trees: Posterior rates and uncertainty quantification
Reference 10
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Observation dd1b63dc-ea05-48c8-a9e8-6611155d17d1 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Boosting the power of kernel two-sample tests
Reference 11
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Observation c4ff6f2c-a2b9-4e7d-b48f-76e1f31bce88 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
Reference 12
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Observation e4cf9f8c-5d7c-4928-ba39-8046091fdf9f · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional distribution learning on graphs
Reference 13
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Observation fbf4cc2a-e67f-46ed-921b-22d7ffd0e3fe · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors The estimation of conditional densities
Reference 14
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Observation 37f16c4d-b55f-4a66-a5cc-ccdae3901ed9 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A kernel test of goodness of fit
Reference 15
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Observation 83c28a87-7ce0-4d2a-9c8d-50126d9120e9 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors An analysis of single-layer networks in unsupervised feature learning
Reference 16
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Observation cf479a16-0958-4a88-a4fe-eec6e67be679 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors The frontier of simulation-based inference
Reference 17
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Observation 639b92c1-9975-42ae-93c4-fc0f7b394f13 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Optimal rates for k-nn density and mode estimation
Reference 18
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Observation d6f7c7b7-d357-4f0d-8101-beef9ce31efb · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Measuring Association on Topological Spaces Using Kernels and Geometric Graphs
Reference 19
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Observation a01078f6-932d-468c-b8bc-c614415b1118 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Deep generative image models using a laplacian pyramid of adversarial networks
Reference 20
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Observation 49297289-ef8b-4bb5-8631-a2de49b8b122 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Tutorial on Variational Autoencoders
Reference 21
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Observation c93f1923-196e-477a-9df0-6e44bfe8471c · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Training generative neural networks via maximum mean discrepancy optimization
Reference 22
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Observation f61a1ff6-6d3c-489d-b563-48543b842a6b · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A crossvalidation method for estimating conditional densities
Reference 23
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Observation 2463533a-4fa8-42ab-bf74-a6a28590caed · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
Reference 24
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Observation c99655ca-5b88-483e-aa5d-2545ebcf4301 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors An algorithm for finding best matches in logarithmic expected time
Reference 25
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Observation 1e5e1dd6-e7fd-49e4-bddc-e049d7a4e2a2 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Jensen-shannon divergence and hilbert space embedding
Reference 26
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Observation e278b925-03ed-4353-98b5-c9a894fb437b · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Kernel measures of conditional dependence
Reference 27
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Observation eedf4186-f10d-4e3e-a7bf-e0526729b726 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Generative adversarial nets
Reference 28
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Observation cf4e442d-18e0-4e47-9abd-ac976f9883d3 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A kernel statistical test of independence
Reference 29
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Observation 7162f24d-6a4d-4627-861c-d065ac55b164 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A kernel two-sample test
Reference 30
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Observation de7ba0f5-dce1-4612-b3af-868969711fc2 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional distribution modelling for few-shot image synthesis with diffusion models
Reference 31
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Observation f2fc3462-1a4e-446b-ab47-723eed128a7d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Approximating conditional distribution functions using dimension reduction
Reference 32
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Observation 538ed949-5c7e-4216-9721-510519536dcd · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional Image Generation by Conditioning Variational Auto-Encoders
Reference 33
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Observation 3b73085b-ad7d-41d6-97fe-23699b5ea831 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors The elements of statistical learning, 2009
Reference 34
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Observation 9efd0aff-d855-4660-b84e-92688ef92dac · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Classifier-Free Diffusion Guidance
Reference 35
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Observation b64d208e-f482-4a7b-b58f-18cfa912af9e · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Denoising diffusion probabilistic models
Reference 36
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Observation 565e37be-d376-4e42-bf26-dbf33b2b4688 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional transformation models
Reference 37
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Observation 107b3ec2-b0ce-43ce-8dc8-8eb6769aeb9d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Cosmological constraints from the redshift-space galaxy skew spectra
Reference 38
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Observation b7b84461-8da4-4215-9737-179152ae600f · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Kernel partial correlation coefficient---a measure of conditional dependence
Reference 39
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Observation ad42fada-915d-40ab-a3ef-e9fba7af42d2 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Evaluating Aleatoric Uncertainty via Conditional Generative Models
Reference 40
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Observation 6b8f4bf8-dfcd-4482-ae69-5bc8404811a1 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Estimating and visualizing conditional densities
Reference 41
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Observation 7be96f9b-c645-40b9-95ad-fd8556029df2 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Image-to-image translation with conditional adversarial networks
Reference 42
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Observation 5d63236a-67bc-403a-bef2-3cac7eefdb66 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Nonparametric conditional density estimation in a high-dimensional regression setting
Reference 43
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Observation 0584d7f9-5ba6-48bd-a9da-29fbb8faef3f · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Randomized near-neighbor graphs, giant components and applications in data science
Reference 44
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Observation 8d304233-447a-467c-a7b1-74c04d59fb53 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Foundations of modern probability, volume 2
Reference 45
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Observation ea613cf1-dae1-49a5-a4dc-21c4280b46ec · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Progressive growing of GAN s for improved quality, stability, and variation
Reference 46
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Observation 876888c3-282a-46c7-a597-7f06233274f9 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Accurate image super-resolution using very deep convolutional networks
Reference 47
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Observation 6571d940-1e59-4567-8555-3d4c31be939d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Probability theory: a comprehensive course
Reference 48
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Observation 7477fa32-cbc6-4b2d-85c1-340f333f3f33 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Truly multivariate structured additive distributional regression
Reference 49
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Observation 1fdeb1a4-428e-4bca-abe3-64fbdb3934b0 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Regression quantiles
Reference 50
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Observation b1d6d413-9906-464a-8aa3-dc1a76abc36c · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors On the rate of convergence of fully connected very deep neural network regression estimates
Reference 51
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Observation b31f3d59-0e6c-4653-a2cd-4eb563b31b3a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Generative moment matching networks
Reference 52
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Observation b6dddc0c-1e10-4c94-9b13-ca3c35912819 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Strong consistency of the kernel estimators of conditional density function
Reference 53
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Observation 1954485c-5cf9-4950-a260-4bb0cde37b3b · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Validation diagnostics for sbi algorithms based on normalizing flows
Reference 54
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Observation 6fd4f3cf-107e-4111-9115-e2651c01e7f0 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Wasserstein Generative Learning of Conditional Distribution
Reference 55
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Observation 4a98a274-35ef-4c37-9505-1701d7c875d9 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Approximating bayes in the 21st century
Reference 56
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Observation f20cad47-549b-43d3-823d-9581612c42f5 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Constraining the higgs potential with neural simulation-based inference for di-higgs production
Reference 57
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Observation df03068a-6e48-45a2-932e-8075cfc402b6 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Uniform concentration and symmetrization for weak interactions
Reference 58
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Observation 55bc5735-5311-4645-a779-51c901079e9e · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure
Reference 59
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Observation 05027cf4-992a-48d6-8c96-63727f29137d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional Generative Adversarial Nets
Reference 60
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Observation 62903e3c-bd3a-457c-bbf9-898ba945622a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A generative model for zero shot learning using conditional variational autoencoders
Reference 61
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Observation b7159e6e-e058-4fdc-aacd-b6fa550a79ad · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors cGANs with Projection Discriminator
Reference 62
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Observation 6aaec1ff-34f5-4ff5-9a4b-7b973bdef886 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Integral probability metrics and their generating classes of functions
Reference 63
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Observation 25531937-6bf3-4f7f-b342-56ca8d69452a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Adaptive approximation and generalization of deep neural network with intrinsic dimensionality
Reference 64
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Observation 0ab0ae27-81f5-45f3-87f6-d166b8459566 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics
Reference 65
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Observation cdca56e9-894d-45b3-a587-f1e51181ecc9 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional image synthesis with auxiliary classifier gans
Reference 66
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Observation 663c05bd-005d-4d66-94b0-1934a61b54f8 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Normalizing flows for probabilistic modeling and inference
Reference 67
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Observation ded9639b-d117-461f-9ea6-c15a0d8b335d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A measure-theoretic approach to kernel conditional mean embeddings
Reference 68
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Observation c83a5faf-c4c8-462e-b02a-fdece5a65d4c · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Gatsbi: Generative adversarial training for simulation-based inference
Reference 69
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Observation bb545b22-958f-418c-bdf7-deecd309d262 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Methods of modern mathematical physics: Functional analysis, volume 1
Reference 70
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One-shot Conditional Sampling: MMD meets Nearest Neighbors Generative adversarial text to image synthesis
Reference 71
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Observation d89ec23a-c02f-45ae-b9ff-ef14075f3cf0 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Sufficient dimension reduction via bayesian mixture modeling
Reference 72
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Observation b4ddd2ed-6060-45ea-80c5-36f844c3504a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional generative moment-matching networks
Reference 73
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One-shot Conditional Sampling: MMD meets Nearest Neighbors Variational inference with normalizing flows
Reference 74
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Observation dc7b3ebd-c5ce-40e4-a119-c887c84f2c79 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Generalized additive models for location, scale and shape
Reference 75
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Observation d0ae9e89-e880-45cd-98cd-41d726ffb0c0 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors High-resolution image synthesis with latent diffusion models
Reference 76
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Observation 8325b968-d9aa-4812-9717-11c4cebd3a27 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional probability density and regression estimators
Reference 77
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Observation a5a6d1a6-0ecc-456b-b0b3-d82c463dbed5 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Photorealistic text-to-image diffusion models with deep language understanding
Reference 78
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Observation 15f878d5-aac5-4c76-bc7a-fdb15db99282 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Improved techniques for training gans
Reference 79
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Observation f1aa3198-bcab-4398-a197-6b0722d7de0c · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Nonparametric regression using deep neural networks with ReLU activation function
Reference 80
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Observation 04cb66c1-a255-4d65-b90f-03d19423e348 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Ksd aggregated goodness-of-fit test
Reference 81
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Observation e949e244-5b42-4c0d-a5e5-1f980cd6e98f · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Mmd aggregated two-sample test
Reference 82
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Observation acda5c09-cfb8-4de7-a40e-208a8db29671 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Deep network approximation characterized by number of neurons
Reference 83
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Observation 756c2fa5-5009-459f-8099-83c553e40cf0 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Hilbert space embeddings of conditional distributions with applications to dynamical systems
Reference 84
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Observation 784648ed-a253-4f46-aac7-daa007353a32 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Wasserstein generative regression
Reference 85
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Observation c85eb789-86ce-46d4-9372-f3fe3631ba18 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Hilbert space embeddings and metrics on probability measures
Reference 86
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Observation 43bd1150-bf1a-4700-b78c-90749ed6354a · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Universality, characteristic kernels and rkhs embedding of measures
Reference 87
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Observation 86fad6f5-8152-4ecf-9cd0-abef0213a046 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Least-squares conditional density estimation
Reference 88
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Observation 8cd024c7-312f-4d6d-a251-7512e54ffe2e · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Reference 89
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Observation 48901153-4f59-469d-8695-db539f52c033 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Weak convergence
Reference 90
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Observation 1e99c39b-6f5d-44cc-ad00-a10fa15968fc · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Optimal transport: old and new, volume 338
Reference 91
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Observation c5c1cebd-c395-499b-8c56-d264547bc2c6 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Sub-weibull distributions: Generalizing sub-gaussian and sub-exponential properties to heavier tailed distributions
Reference 92
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Observation 769e7a5b-a1d4-4d03-bf5c-cbc8f57931dc · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Mental speed is high until age 60 as revealed by analysis of over a million participants
Reference 93
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Observation 5a663855-5164-449d-bfc7-fafcc371adda · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Scattered data approximation, volume 17
Reference 94
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Observation 42496b54-62f5-4bf2-8340-046f2d2b68dd · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Mnist handwritten digit database
Reference 95
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Observation 4ed9b305-c04a-461e-bc68-a6325e83a5b1 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Neural methods for amortized inference
Reference 96
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Observation f55f594c-98f0-4e67-8e3b-fe56ca499249 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Conditional Image Synthesis with Diffusion Models: A Survey
Reference 97
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Observation 375300a0-eb3f-4e7c-a6f1-08732718f581 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Deep network approximation: Achieving arbitrary accuracy with fixed number of neurons
Reference 98
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Observation 8f0b916e-cc95-4ccb-9ddf-891bc11e4f7d · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors Image super-resolution using very deep residual channel attention networks
Reference 99
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Observation 4c30de93-0304-406b-a024-bfbf6aae4c34 · outbound
One-shot Conditional Sampling: MMD meets Nearest Neighbors A deep generative approach to conditional sampling
Reference 100
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Observation 073dc7e3-faeb-4aef-99e6-576ec026d842 · inbound
Conditional Mean Independence and Global Sensitivity Analysis using Nearest Neighbor Graphs One-shot Conditional Sampling: MMD meets Nearest Neighbors
Reference 8
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