Learning Single Index Models with Diffusion Priors | Paper Citation Record

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Learning Single Index Models with Diffusion Priors write newline

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This paper cites Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data.

Learning Single Index Models with Diffusion Priors Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data

Reference 2

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This paper cites M., Mardani, M., and Vasanawala, S.

Learning Single Index Models with Diffusion Priors M., Mardani, M., and Vasanawala, S

Reference 3

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This paper cites Invertible generative models for inverse problems: M itigating representation error and dataset bias.

Learning Single Index Models with Diffusion Priors Invertible generative models for inverse problems: M itigating representation error and dataset bias

Reference 4

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This paper cites Exact asymptotics for phase retrieval and compressed sensing with random generative priors.

Learning Single Index Models with Diffusion Priors Exact asymptotics for phase retrieval and compressed sensing with random generative priors

Reference 5

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This paper cites Monte C arlo guided denoising diffusion models for B ayesian linear inverse problems.

Learning Single Index Models with Diffusion Priors Monte C arlo guided denoising diffusion models for B ayesian linear inverse problems

Reference 10

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This paper cites Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions.

Learning Single Index Models with Diffusion Priors Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions

Reference 11

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This paper cites A unified framework for uniform signal recovery in nonlinear generative compressed sensing.

Learning Single Index Models with Diffusion Priors A unified framework for uniform signal recovery in nonlinear generative compressed sensing

Reference 12

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Learning Single Index Models with Diffusion Priors Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data

Reference 13

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Reference 14

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This paper cites The probability flow ODE is provably fast.

Learning Single Index Models with Diffusion Priors The probability flow ODE is provably fast

Reference 15

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This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Learning Single Index Models with Diffusion Priors Diffusion policy: Visuomotor policy learning via action diffusion

Reference 16

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Learning Single Index Models with Diffusion Priors Unresolved cited work

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This paper cites T., Klasky, M.

Learning Single Index Models with Diffusion Priors T., Klasky, M

Reference 20

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 21

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This paper cites Intermediate layer optimization for inverse problems using deep generative models.

Learning Single Index Models with Diffusion Priors Intermediate layer optimization for inverse problems using deep generative models

Reference 22

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This paper cites Score-guided intermediate level optimization: Fast L angevin mixing for inverse problems.

Learning Single Index Models with Diffusion Priors Score-guided intermediate level optimization: Fast L angevin mixing for inverse problems

Reference 23

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This paper cites A Survey on Diffusion Models for Inverse Problems.

Learning Single Index Models with Diffusion Priors A Survey on Diffusion Models for Inverse Problems

Reference 24

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This paper cites Image N et: A large-scale hierarchical image database.

Learning Single Index Models with Diffusion Priors Image N et: A large-scale hierarchical image database

Reference 25

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This paper cites Modeling sparse deviations for compressed sensing using generative models.

Learning Single Index Models with Diffusion Priors Modeling sparse deviations for compressed sensing using generative models

Reference 26

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Learning Single Index Models with Diffusion Priors and Nichol, A

Reference 27

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Learning Single Index Models with Diffusion Priors and Song, Y

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This paper cites Dirac D iffusion: Denoising and incremental reconstruction with assured data-consistency.

Learning Single Index Models with Diffusion Priors Dirac D iffusion: Denoising and incremental reconstruction with assured data-consistency

Reference 29

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This paper cites Adapt and diffuse: Sample-adaptive reconstruction via latent diffusion models.

Learning Single Index Models with Diffusion Priors Adapt and diffuse: Sample-adaptive reconstruction via latent diffusion models

Reference 30

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This paper cites Generative diffusion prior for unified image restoration and enhancement.

Learning Single Index Models with Diffusion Priors Generative diffusion prior for unified image restoration and enhancement

Reference 31

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 32

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This paper cites T., Smith, J., Rubinstein, M., Chang, H., Bouman, K.

Learning Single Index Models with Diffusion Priors T., Smith, J., Rubinstein, M., Chang, H., Bouman, K

Reference 33

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Learning Single Index Models with Diffusion Priors and Rauhut, H

Reference 34

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This paper cites Solving inverse problems with deep neural networks--robustness included? IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 0 (1): 0 1119--1134, 2022.

Learning Single Index Models with Diffusion Priors Solving inverse problems with deep neural networks--robustness included? IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 0 (1): 0 1119--1134, 2022

Reference 35

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This paper cites Phase retrieval under a generative prior.

Learning Single Index Models with Diffusion Priors Phase retrieval under a generative prior

Reference 36

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This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Learning Single Index Models with Diffusion Priors IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 37

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Learning Single Index Models with Diffusion Priors and Hand, P

Reference 38

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Learning Single Index Models with Diffusion Priors Prompt-to- P rompt image editing with cross-attention control

Reference 39

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Learning Single Index Models with Diffusion Priors Denoising diffusion probabilistic models

Reference 40

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Learning Single Index Models with Diffusion Priors Y., Bae, H., and Chun, S

Reference 41

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 42

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 43

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Learning Single Index Models with Diffusion Priors and Hegde, C

Reference 44

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Learning Single Index Models with Diffusion Priors G., and Tamir, J

Reference 45

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This paper cites Instance-optimal compressed sensing via posterior sampling.

Learning Single Index Models with Diffusion Priors Instance-optimal compressed sensing via posterior sampling

Reference 46

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Learning Single Index Models with Diffusion Priors A style-based generator architecture for generative adversarial networks

Reference 47

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Learning Single Index Models with Diffusion Priors Denoising diffusion restoration models

Reference 48

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Learning Single Index Models with Diffusion Priors and Seelamantula, C

Reference 49

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 50

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Learning Single Index Models with Diffusion Priors Variational diffusion models

Reference 51

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Learning Single Index Models with Diffusion Priors Diff W ave: A versatile diffusion model for audio synthesis

Reference 52

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Learning Single Index Models with Diffusion Priors and Hinton, G

Reference 53

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 54

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This paper cites Convergence for score-based generative modeling with polynomial complexity.

Learning Single Index Models with Diffusion Priors Convergence for score-based generative modeling with polynomial complexity

Reference 55

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This paper cites Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models.

Learning Single Index Models with Diffusion Priors Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Reference 56

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Learning Single Index Models with Diffusion Priors and Liu, Z

Reference 57

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Learning Single Index Models with Diffusion Priors and Scarlett, J

Reference 58

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Learning Single Index Models with Diffusion Priors and Scarlett, J

Reference 59

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This paper cites Sample complexity bounds for 1 -bit compressive sensing and binary stable embeddings with generative priors.

Learning Single Index Models with Diffusion Priors Sample complexity bounds for 1 -bit compressive sensing and binary stable embeddings with generative priors

Reference 60

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This paper cites Robust 1-bit compressive sensing with partial G aussian circulant matrices and generative priors.

Learning Single Index Models with Diffusion Priors Robust 1-bit compressive sensing with partial G aussian circulant matrices and generative priors

Reference 61

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Observation 324907db-1710-4d87-b7b0-d5fea3c37d72 · outbound

This paper cites Towards sample-optimal compressive phase retrieval with sparse and generative priors.

Learning Single Index Models with Diffusion Priors Towards sample-optimal compressive phase retrieval with sparse and generative priors

Reference 62

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Observation 00a4f9e0-2bca-4c9c-8736-b2fb8d459a94 · outbound

This paper cites Generative principal component analysis.

Learning Single Index Models with Diffusion Priors Generative principal component analysis

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:03.832197Z

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Observation 45b2766c-ba07-4889-b4a9-057ce8c48f52 · outbound

This paper cites Misspecified phase retrieval with generative priors.

Learning Single Index Models with Diffusion Priors Misspecified phase retrieval with generative priors

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:03.658336Z

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Observation 4b706ea1-9066-4aec-ac15-c1632676d303 · outbound

This paper cites Generalized eigenvalue problems with generative priors.

Learning Single Index Models with Diffusion Priors Generalized eigenvalue problems with generative priors

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:03.432806Z

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Observation b196c43d-30ca-41cc-a3b2-b519c1627b96 · outbound

This paper cites D PM-S olver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Learning Single Index Models with Diffusion Priors D PM-S olver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:03.258554Z

Source-reported events for the cited work

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

Observation dc99468e-aebb-4d06-9902-8ec49d3e2787 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Learning Single Index Models with Diffusion Priors DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:49.749163Z

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Observation 45492527-d5d8-4079-934f-27c8789f20f0 · outbound

This paper cites Quantized Compressed Sensing with Score-based Generative Models.

Learning Single Index Models with Diffusion Priors Quantized Compressed Sensing with Score-based Generative Models

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:45:55.570547Z

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

Observation bad90c53-8cf3-4f4b-9cd7-6c6ac4f57f67 · outbound

This paper cites Provable Compressed Sensing with Generative Priors via Langevin Dynamics.

Learning Single Index Models with Diffusion Priors Provable Compressed Sensing with Generative Priors via Langevin Dynamics

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:45:55.389503Z

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

Observation 56ab23fb-2e97-4bd0-8426-11902db809bb · outbound

This paper cites A., et al.

Learning Single Index Models with Diffusion Priors A., et al

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:03.093644Z

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Observation e09c312d-439a-4e39-96ca-d6186c8ac958 · outbound

This paper cites Effective real image editing with accelerated iterative diffusion inversion.

Learning Single Index Models with Diffusion Priors Effective real image editing with accelerated iterative diffusion inversion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:02.905174Z

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

Observation 40b5262c-9dcc-4cf3-873b-91c24ecbe770 · outbound

This paper cites Localizing object-level shape variations with text-to-image diffusion models.

Learning Single Index Models with Diffusion Priors Localizing object-level shape variations with text-to-image diffusion models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:02.716847Z

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

Observation 68697103-59f1-4b50-b24e-b06b5ef0569d · outbound

This paper cites and Vershynin, R.

Learning Single Index Models with Diffusion Priors and Vershynin, R

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:02.542467Z

Source-reported events for the cited work

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

Observation 907fa7d1-e373-434a-a270-a9ef28cc6321 · outbound

This paper cites Robust one-bit recovery via R e LU generative networks: Improved statistical rates and global landscape analysis.

Learning Single Index Models with Diffusion Priors Robust one-bit recovery via R e LU generative networks: Improved statistical rates and global landscape analysis

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:02.364361Z

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

Observation 49dafc8f-ec86-45c2-8c62-4478df217552 · outbound

This paper cites GAN -based projector for faster recovery with convergence guarantees in linear inverse problems.

Learning Single Index Models with Diffusion Priors GAN -based projector for faster recovery with convergence guarantees in linear inverse problems

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:02.129514Z

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

Observation 48aa662b-386b-47e2-974b-28bed7223197 · outbound

This paper cites Multiscale structure guided diffusion for image deblurring.

Learning Single Index Models with Diffusion Priors Multiscale structure guided diffusion for image deblurring

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:01.945577Z

Source-reported events for the cited work

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

Observation 3adecf3c-2517-466a-9f06-248155e7f827 · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.

Learning Single Index Models with Diffusion Priors Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:01.741553Z

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Observation 44cc88ce-21be-4a33-bc61-8664ae1fc370 · outbound

This paper cites Palette: Image-to-image diffusion models.

Learning Single Index Models with Diffusion Priors Palette: Image-to-image diffusion models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:01.568818Z

Source-reported events for the cited work

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

Observation 56de5f99-c9d2-43c7-9386-40f91ec86ef4 · outbound

This paper cites L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al.

Learning Single Index Models with Diffusion Priors L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:01.371611Z

Source-reported events for the cited work

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

Observation 082fe2f6-16ff-4701-9433-393d6dc0b4e3 · outbound

This paper cites J., and Norouzi, M.

Learning Single Index Models with Diffusion Priors J., and Norouzi, M

Reference 80

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Observation 1e081e85-ae4c-437a-9ed3-420cf47e5579 · outbound

This paper cites and Ho, J.

Learning Single Index Models with Diffusion Priors and Ho, J

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:01.161896Z

Source-reported events for the cited work

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

Observation a0fe35ed-aed7-4340-a185-87a58d7cc9e9 · outbound

This paper cites and Cevher, V.

Learning Single Index Models with Diffusion Priors and Cevher, V

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:00.916886Z

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

Observation f49437b0-1bcf-40f4-918c-adce702d5842 · outbound

This paper cites R., Hand, P., and Eldar, Y.

Learning Single Index Models with Diffusion Priors R., Hand, P., and Eldar, Y

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:00.741303Z

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Observation d7ba935b-8996-40d1-b455-3f3a407a6b2d · outbound

This paper cites and Hegde, C.

Learning Single Index Models with Diffusion Priors and Hegde, C

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:00.535396Z

Source-reported events for the cited work

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

Observation 0358468c-131f-4810-a78c-4f09c870c319 · outbound

This paper cites and Ahmed, A.

Learning Single Index Models with Diffusion Priors and Ahmed, A

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:00.315843Z

Source-reported events for the cited work

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

Observation da9c2b6e-5d18-41a3-88fc-ec3f4ffe9b6a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Learning Single Index Models with Diffusion Priors Deep unsupervised learning using nonequilibrium thermodynamics

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:46:00.141933Z

Source-reported events for the cited work

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

Observation 4a63f6dc-cf12-4569-bacb-0da023472514 · outbound

This paper cites M., Zhang, Z., Hu, X., Qu, Q., and Shen, L.

Learning Single Index Models with Diffusion Priors M., Zhang, Z., Hu, X., Qu, Q., and Shen, L

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.938670Z

Source-reported events for the cited work

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

Observation 3a691405-59ca-41cb-a099-f80369863e29 · outbound

This paper cites Denoising diffusion implicit models.

Learning Single Index Models with Diffusion Priors Denoising diffusion implicit models

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.717745Z

Source-reported events for the cited work

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

Observation cfe5f849-2ccc-4223-a679-1c91143f991d · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Learning Single Index Models with Diffusion Priors Pseudoinverse-guided diffusion models for inverse problems

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.510458Z

Source-reported events for the cited work

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

Observation 344f0ebf-85dc-42af-ad83-3e0d79358464 · outbound

This paper cites and Ermon, S.

Learning Single Index Models with Diffusion Priors and Ermon, S

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.403511Z

Source-reported events for the cited work

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

Observation 1a223f42-d7b2-43e8-932d-4d48c6166fcb · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Learning Single Index Models with Diffusion Priors P., Kumar, A., Ermon, S., and Poole, B

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.216497Z

Source-reported events for the cited work

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

Observation a5937074-e58c-45f2-9b00-ea090f9308b9 · outbound

This paper cites Dual diffusion implicit bridges for image-to-image translation.

Learning Single Index Models with Diffusion Priors Dual diffusion implicit bridges for image-to-image translation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:59.019832Z

Source-reported events for the cited work

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

Observation e77a3eaf-bbc0-4502-b0b8-26f38b485cb7 · outbound

This paper cites T., and Bouman, K.

Learning Single Index Models with Diffusion Priors T., and Bouman, K

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:58.876853Z

Source-reported events for the cited work

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

Observation ec31134e-050f-4e27-aa87-4a68f76b68d9 · outbound

This paper cites Compressed Sensing with Deep Image Prior and Learned Regularization.

Learning Single Index Models with Diffusion Priors Compressed Sensing with Deep Image Prior and Learned Regularization

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:53.248928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f7b291-390e-4040-b514-79c9ad6414b9 · outbound

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Learning Single Index Models with Diffusion Priors Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:45:58.667837Z

Source-reported events for the cited work

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

Observation 2a1146bb-d696-457b-b2c7-e148bc2b5784 · outbound

This paper cites Edict: Exact diffusion inversion via coupled transformations.

Learning Single Index Models with Diffusion Priors Edict: Exact diffusion inversion via coupled transformations

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:58.430971Z

Source-reported events for the cited work

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

Observation db874e49-dca2-423e-8b2d-4b8411a6d66b · outbound

This paper cites B ELM : Bidirectional explicit linear multi-step sampler for exact inversion in diffusion models.

Learning Single Index Models with Diffusion Priors B ELM : Bidirectional explicit linear multi-step sampler for exact inversion in diffusion models

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:58.214554Z

Source-reported events for the cited work

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

Observation 15c4844b-4aea-4485-9c3a-7f2133c50427 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

Learning Single Index Models with Diffusion Priors Zero-shot image restoration using denoising diffusion null-space model

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:57.997922Z

Source-reported events for the cited work

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

Observation 59152321-c842-4e19-89bb-44fa75952585 · outbound

This paper cites On the statistical rate of nonlinear recovery in generative models with heavy-tailed data.

Learning Single Index Models with Diffusion Priors On the statistical rate of nonlinear recovery in generative models with heavy-tailed data

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:57.775948Z

Source-reported events for the cited work

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

Observation 492cc96b-b6fa-43e3-ac1a-d6df13d5c849 · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

Learning Single Index Models with Diffusion Priors Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:54.128784Z

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