Pretrained Reversible Generation as Unsupervised Visual Representation Learning | Paper Citation Record

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This paper cites Ac- curate structure prediction of biomolecular interactions with alphafold 3.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Ac- curate structure prediction of biomolecular interactions with alphafold 3

Reference 1

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This paper cites Build- ing normalizing flows with stochastic interpolants.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Build- ing normalizing flows with stochastic interpolants

Reference 2

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This paper cites All are worth words: A vit backbone for diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning All are worth words: A vit backbone for diffusion models

Reference 3

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This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

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This paper cites Rep- resentation learning: A review and new perspectives.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rep- resentation learning: A review and new perspectives

Reference 5

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This paper cites Generalized denoising auto-encoders as generative models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generalized denoising auto-encoders as generative models

Reference 6

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This paper cites Improving image generation with better captions.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improving image generation with better captions

Reference 7

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This paper cites Diffusion models are certifiably robust classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion models are certifiably robust classifiers

Reference 8

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Observation 3ac3dbd1-915f-4398-a5a8-f21f9acf839d · outbound

This paper cites Robust Classification via a Single Diffusion Model.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Robust Classification via a Single Diffusion Model

Reference 9

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This paper cites Generative pretraining from pixels.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generative pretraining from pixels

Reference 10

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 11

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Observation b6b76e7f-2c96-4f67-a76c-c04452d0ec6c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning A simple framework for contrastive learning of visual representations

Reference 12

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Observation b6ea3ddc-8cfe-422b-a806-091c29e61529 · outbound

This paper cites Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets

Reference 13

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Observation a6ee16ca-486e-4dc6-868a-4361b1c15b01 · outbound

This paper cites Text-to-image diffusion mod- els are zero shot classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Text-to-image diffusion mod- els are zero shot classifiers

Reference 14

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This paper cites Autoaugment: Learning augmentation strategies from data.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Autoaugment: Learning augmentation strategies from data

Reference 15

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This paper cites Large scale adversar- ial representation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Large scale adversar- ial representation learning

Reference 16

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Observation b9c43bbf-4f5a-404b-885a-c749f4a20351 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your classifier is secretly an energy based model and you should treat it like one

Reference 18

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Observation a9959a3a-07bc-4917-9880-abc8b348618b · outbound

This paper cites Understanding the Limitations of Conditional Generative Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Understanding the Limitations of Conditional Generative Models

Reference 19

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This paper cites Scheduled denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Scheduled denoising autoencoders

Reference 20

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This paper cites Generative adversarial networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generative adversarial networks

Reference 21

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 22

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This paper cites Deep residual learning for image recognition.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Deep residual learning for image recognition

Reference 23

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Observation 1a3ceb24-7d44-44a5-bc81-8f1be35021b1 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Masked autoencoders are scalable vision learners

Reference 24

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This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 25

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This paper cites Denoising diffu- sion probabilistic models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Denoising diffu- sion probabilistic models

Reference 26

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This paper cites Video diffusion mod- els.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Video diffusion mod- els

Reference 27

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This paper cites DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability

Reference 28

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This paper cites Hutchinson.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Hutchinson

Reference 29

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Observation 01a5d2dc-00ab-4fbf-ba3b-ae79b1e5e436 · outbound

This paper cites Auto-Encoding Variational Bayes.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Auto-Encoding Variational Bayes

Reference 30

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This paper cites Adam: A Method for Stochastic Optimization.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Adam: A Method for Stochastic Optimization

Reference 31

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This paper cites On the effectiveness of adversarial training against common corruptions.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning On the effectiveness of adversarial training against common corruptions

Reference 32

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This paper cites Learning multiple layers of features from tiny images.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Learning multiple layers of features from tiny images

Reference 33

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 34

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This paper cites Your diffusion model is secretly a zero-shot classifier.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your diffusion model is secretly a zero-shot classifier

Reference 35

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This paper cites An application of the principle of maximum in- formation preservation to linear systems.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning An application of the principle of maximum in- formation preservation to linear systems

Reference 36

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 37

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This paper cites Towards robust neural networks via random self- ensemble.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Towards robust neural networks via random self- ensemble

Reference 38

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This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 39

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 40

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This paper cites Good helper is around you: Attention-driven masked image modeling.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Good helper is around you: Attention-driven masked image modeling

Reference 41

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This paper cites Maximum likelihood training for score- based diffusion odes by high order denoising score matching.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Maximum likelihood training for score- based diffusion odes by high order denoising score matching

Reference 42

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This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 43

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This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 44

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This paper cites Symbolic Music Generation with Diffusion Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Symbolic Music Generation with Diffusion Models

Reference 45

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This paper cites Diffusion based represen- tation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion based represen- tation learning

Reference 46

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This paper cites Probabilistic machine learning: Advanced topics.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Probabilistic machine learning: Advanced topics

Reference 47

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This paper cites On discriminative vs.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning On discriminative vs

Reference 48

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This paper cites Improved denoising diffusion probabilistic models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improved denoising diffusion probabilistic models

Reference 49

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion models for adversarial purification

Reference 50

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Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 51

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This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 52

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This paper cites High-resolution image synthesis with latent diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning High-resolution image synthesis with latent diffusion models

Reference 53

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This paper cites Bernstein, Alexander C.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Bernstein, Alexander C

Reference 54

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This paper cites Rethinking the spatial inconsistency in classifier- free diffusion guidance.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rethinking the spatial inconsistency in classifier- free diffusion guidance

Reference 55

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Observation 231e5eb7-30d2-41b2-b385-2b303aa5344c · outbound

This paper cites D2c: Diffusion-decoding models for few-shot con- ditional generation.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning D2c: Diffusion-decoding models for few-shot con- ditional generation

Reference 56

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Observation 1e55cf2a-a1b9-445a-89f6-024df9e3d2b9 · outbound

This paper cites Deep unsupervised learning using 10 nonequilibrium thermodynamics.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Deep unsupervised learning using 10 nonequilibrium thermodynamics

Reference 57

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Observation 47eb793b-c451-44ec-88fc-722ff7b53ce0 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Score-Based Generative Modeling through Stochastic Differential Equations

Reference 58

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This paper cites Maximum likelihood training of score-based diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Maximum likelihood training of score-based diffusion models

Reference 59

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This paper cites Improving and generalizing flow-based gener- ative models with minibatch optimal transport.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improving and generalizing flow-based gener- ative models with minibatch optimal transport

Reference 60

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This paper cites Neural discrete representation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Neural discrete representation learning

Reference 61

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This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 62

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Observation 31d4fdc7-d5ed-4298-bb6a-7ff772253f8e · outbound

This paper cites A connection between score matching and denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning A connection between score matching and denoising autoencoders

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.506721Z

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This paper cites Extracting and composing robust features with denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Extracting and composing robust features with denoising autoencoders

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.414903Z

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This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.401014Z

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Observation 52ccbcd0-a212-4e46-81f8-a706d4e5cfbe · outbound

This paper cites Enresnet: Resnets ensemble via the feynman–kac formal- ism for adversarial defense and beyond.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Enresnet: Resnets ensemble via the feynman–kac formal- ism for adversarial defense and beyond

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.387865Z

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Observation 269f1e60-1e48-485e-85bd-3f33fd95e987 · outbound

This paper cites Phased consis- tency models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Phased consis- tency models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.254023Z

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This paper cites Denoising diffusion autoencoders are unified self-supervised learners.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Denoising diffusion autoencoders are unified self-supervised learners

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.240092Z

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This paper cites Aggregated residual transformations for deep neural networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Aggregated residual transformations for deep neural networks

Reference 69

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This paper cites Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 70

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This paper cites Pde+: Enhancing gen- eralization via pde with adaptive distributional diffusion.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Pde+: Enhancing gen- eralization via pde with adaptive distributional diffusion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.210753Z

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Observation c759b6b4-2895-48f7-8851-9b4f9549abd2 · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 72

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This paper cites Wide Residual Networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Wide Residual Networks

Reference 73

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Observation 14cccf3f-5da5-4517-8f34-8d269a5b6e59 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning mixup: Beyond Empirical Risk Minimization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.191558Z

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Observation bf28d8cc-d3a8-4e49-9e76-80728d1e9183 · outbound

This paper cites Revisiting generative poli- cies: A simpler reinforcement learning algorithmic perspec- tive, 2024.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Revisiting generative poli- cies: A simpler reinforcement learning algorithmic perspec- tive, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.187616Z

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Observation 3f2a8f8f-41a7-4e5f-8c8c-6f75b04bcd38 · outbound

This paper cites Im- proved techniques for maximum likelihood estimation for diffusion odes.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Im- proved techniques for maximum likelihood estimation for diffusion odes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.079069Z

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Observation ad662e29-3f47-4056-891e-f55136a8b94a · outbound

This paper cites Score-Based Generative Classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Score-Based Generative Classifiers

Reference 77

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