PixelVAE++: Improved PixelVAE with Discrete Prior | Paper Citation Record

Observation 41c92bbe-75a4-465b-87ed-726c7cb3a0b4 · outbound

This paper cites Conditional image generation with pixelcnn decoders.

PixelVAE++: Improved PixelVAE with Discrete Prior Conditional image generation with pixelcnn decoders

Reference 1

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Observation 92a8b511-81b5-4843-9c69-65a78a7b146f · outbound

This paper cites Generative Adversarial Networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Generative Adversarial Networks

Reference 2

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This paper cites Towards conceptual compression.

PixelVAE++: Improved PixelVAE with Discrete Prior Towards conceptual compression

Reference 3

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This paper cites Improved variational inference with inverse autoregressive ﬂow.

PixelVAE++: Improved PixelVAE with Discrete Prior Improved variational inference with inverse autoregressive ﬂow

Reference 4

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This paper cites Density estimation using Real NVP.

PixelVAE++: Improved PixelVAE with Discrete Prior Density estimation using Real NVP

Reference 5

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Observation c08ca3c8-6bc4-41c6-a5b0-264e00fc0004 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

PixelVAE++: Improved PixelVAE with Discrete Prior WaveNet: A Generative Model for Raw Audio

Reference 6

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Observation 9f0ba0ae-138a-48bd-857d-2a9be70c0ebe · outbound

This paper cites SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.

PixelVAE++: Improved PixelVAE with Discrete Prior SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Reference 7

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Observation eb61b3ea-6c43-4832-a3fa-998ce2a3e154 · outbound

This paper cites Video pixel networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Video pixel networks

Reference 8

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Observation 26082b95-3282-4662-9726-87b5cca67898 · outbound

This paper cites Unsupervised learning for physical interac- tion through video prediction.

PixelVAE++: Improved PixelVAE with Discrete Prior Unsupervised learning for physical interac- tion through video prediction

Reference 9

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Observation cf61505d-6fa7-47f3-9f79-4ec2d467b2e6 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network.

PixelVAE++: Improved PixelVAE with Discrete Prior Photo-realistic single image super-resolution using a generative adversarial network

Reference 10

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Observation d6013e57-b4fe-4158-9f2a-315832d75795 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Image-to-image translation with conditional adversarial networks

Reference 11

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This paper cites Efficient Learning of Domain-invariant Image Representations.

PixelVAE++: Improved PixelVAE with Discrete Prior Efficient Learning of Domain-invariant Image Representations

Reference 12

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Observation 6f9ace30-08da-4b3f-ab1d-704c4960ea60 · outbound

This paper cites Domain adaptive neural networks for object recognition.

PixelVAE++: Improved PixelVAE with Discrete Prior Domain adaptive neural networks for object recognition

Reference 13

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Observation 50fd3cc9-46c4-49a6-ab3c-d318e0d9d12c · outbound

This paper cites Unsupervised pixel-level domain adaptation with generative adversarial networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Unsupervised pixel-level domain adaptation with generative adversarial networks

Reference 14

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Observation c5a8fce3-445d-4bbe-a302-d6ddf54eabd8 · outbound

This paper cites Deep visual domain adaptation: A survey.

PixelVAE++: Improved PixelVAE with Discrete Prior Deep visual domain adaptation: A survey

Reference 15

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Observation d6e5761f-69df-4f25-924b-d3e59982598b · outbound

This paper cites Optimization as a model for few-shot learning.

PixelVAE++: Improved PixelVAE with Discrete Prior Optimization as a model for few-shot learning

Reference 16

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Observation 6a291382-07af-45e2-911e-62a304c6d917 · outbound

This paper cites One-shot Learning with Memory-Augmented Neural Networks.

PixelVAE++: Improved PixelVAE with Discrete Prior One-shot Learning with Memory-Augmented Neural Networks

Reference 17

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Observation ea53dba6-859e-484b-b680-dd2274d25301 · outbound

This paper cites Prototypical networks for few-shot learning.

PixelVAE++: Improved PixelVAE with Discrete Prior Prototypical networks for few-shot learning

Reference 18

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Observation 9bbe9177-6c84-47b2-9c16-2acdeae18d47 · outbound

This paper cites Auto-Encoding Variational Bayes.

PixelVAE++: Improved PixelVAE with Discrete Prior Auto-Encoding Variational Bayes

Reference 19

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Observation 2ef62c47-c7d6-4356-ac55-1252c229059d · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

PixelVAE++: Improved PixelVAE with Discrete Prior Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 20

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Observation d8e234b8-c3c1-4e69-9fdb-2deca84c813f · outbound

This paper cites Markov chain monte carlo and variational inference: Bridging the gap.

PixelVAE++: Improved PixelVAE with Discrete Prior Markov chain monte carlo and variational inference: Bridging the gap

Reference 21

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Observation da3b18d2-dc22-46eb-a6fd-9a0a12eda2ad · outbound

This paper cites Glow: Generative ﬂow with invertible 1x1 convolutions.

PixelVAE++: Improved PixelVAE with Discrete Prior Glow: Generative ﬂow with invertible 1x1 convolutions

Reference 22

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Observation acd3b901-f96e-47b4-96df-407296ff59ce · outbound

This paper cites Variational Inference with Normalizing Flows.

PixelVAE++: Improved PixelVAE with Discrete Prior Variational Inference with Normalizing Flows

Reference 23

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Observation 2e405a34-aee3-4d5f-a07a-9f0db99e886b · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

PixelVAE++: Improved PixelVAE with Discrete Prior NICE: Non-linear Independent Components Estimation

Reference 24

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This paper cites Implicit Generation and Generalization in Energy-Based Models.

PixelVAE++: Improved PixelVAE with Discrete Prior Implicit Generation and Generalization in Energy-Based Models

Reference 25

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Observation ff411db8-a00f-4608-95f4-f934c79e77cf · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

PixelVAE++: Improved PixelVAE with Discrete Prior PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 26

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Observation d59521d3-4cb9-4b16-9c4b-3cf8324b0b65 · outbound

This paper cites Pixel recurrent neural networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Pixel recurrent neural networks

Reference 27

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Observation de693938-f009-42a2-baea-d4d20c04b91d · outbound

This paper cites PixelSNAIL: An Improved Autoregressive Generative Model.

PixelVAE++: Improved PixelVAE with Discrete Prior PixelSNAIL: An Improved Autoregressive Generative Model

Reference 28

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Observation f92f6b6d-8b1c-44cb-94d1-a51d0573176c · outbound

This paper cites Made: Masked autoencoder for distribution estimation.

PixelVAE++: Improved PixelVAE with Discrete Prior Made: Masked autoencoder for distribution estimation

Reference 29

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Observation c6b0e0b1-f1ce-4acd-8bbb-1b4ec160fa2b · outbound

This paper cites PixelVAE: A Latent Variable Model for Natural Images.

PixelVAE++: Improved PixelVAE with Discrete Prior PixelVAE: A Latent Variable Model for Natural Images

Reference 30

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Observation 6285c93a-bad9-4a57-b21a-6b42be7bebaf · outbound

This paper cites Variational Lossy Autoencoder.

PixelVAE++: Improved PixelVAE with Discrete Prior Variational Lossy Autoencoder

Reference 31

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This paper cites Deep learning of representations: Looking forward.

PixelVAE++: Improved PixelVAE with Discrete Prior Deep learning of representations: Looking forward

Reference 32

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Observation 32e550f8-5816-4ec6-9813-340be719fb7a · outbound

This paper cites Variational Recurrent Auto-Encoders.

PixelVAE++: Improved PixelVAE with Discrete Prior Variational Recurrent Auto-Encoders

Reference 33

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Observation 8f61b27e-f60a-457a-8855-37c30da3d838 · outbound

This paper cites Generating Sentences from a Continuous Space.

PixelVAE++: Improved PixelVAE with Discrete Prior Generating Sentences from a Continuous Space

Reference 34

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Observation dcd920a5-9028-4443-b942-761061d3d916 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

PixelVAE++: Improved PixelVAE with Discrete Prior Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 35

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This paper cites Building end-to-end dialogue systems using generative hierarchical neural network models.

PixelVAE++: Improved PixelVAE with Discrete Prior Building end-to-end dialogue systems using generative hierarchical neural network models

Reference 36

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Observation 5aaaea87-68f6-4c0d-9592-25a455bd9fd9 · outbound

This paper cites A hierarchical latent variable encoder-decoder model for generating dialogues.

PixelVAE++: Improved PixelVAE with Discrete Prior A hierarchical latent variable encoder-decoder model for generating dialogues

Reference 37

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Observation 93cb701d-ca7a-4d0f-b2a1-5fa5f08b776f · outbound

This paper cites Sequential neural models with stochastic layers.

PixelVAE++: Improved PixelVAE with Discrete Prior Sequential neural models with stochastic layers

Reference 38

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Observation 9f709d79-e9be-4444-805e-a44d428992bf · outbound

This paper cites VAE with a VampPrior.

PixelVAE++: Improved PixelVAE with Discrete Prior VAE with a VampPrior

Reference 39

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Observation 25e17868-ac7c-4d6e-acd4-960d318b7630 · outbound

This paper cites DVAE++: Discrete Variational Autoencoders with Overlapping Transformations.

PixelVAE++: Improved PixelVAE with Discrete Prior DVAE++: Discrete Variational Autoencoders with Overlapping Transformations

Reference 40

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Observation 3a62b77a-f77e-4229-a014-7b6160e1ab6f · outbound

This paper cites Representational power of restricted boltzmann machines and deep belief networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Representational power of restricted boltzmann machines and deep belief networks

Reference 41

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Observation 279c3524-8d21-4169-9a71-2e0d4e36eb5c · outbound

This paper cites Discrete Variational Autoencoders.

PixelVAE++: Improved PixelVAE with Discrete Prior Discrete Variational Autoencoders

Reference 42

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Observation 541bc40c-a892-42a6-9076-1f7bba40b154 · outbound

This paper cites DV AE#: Discrete variational autoencoders with relaxed Boltzmann priors.

PixelVAE++: Improved PixelVAE with Discrete Prior DV AE#: Discrete variational autoencoders with relaxed Boltzmann priors

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:41.082393Z

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Observation fb2280ab-a0a3-41cf-baac-61f99f3987ae · outbound

This paper cites Undirected Graphical Models as Approximate Posteriors.

PixelVAE++: Improved PixelVAE with Discrete Prior Undirected Graphical Models as Approximate Posteriors

Reference 44

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Observation 5e959320-1bad-4fd8-a3e8-b868d2a4bf58 · outbound

This paper cites Gumbolt: Extending gumbel trick to boltzmann priors.

PixelVAE++: Improved PixelVAE with Discrete Prior Gumbolt: Extending gumbel trick to boltzmann priors

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:41.066345Z

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Observation c225afa2-5748-4c46-8882-48adb08d7433 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

PixelVAE++: Improved PixelVAE with Discrete Prior Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 46

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Observation 3e9018df-faf4-4b07-a683-efaecf367374 · outbound

This paper cites Techniques for Learning Binary Stochastic Feedforward Neural Networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Techniques for Learning Binary Stochastic Feedforward Neural Networks

Reference 47

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Observation 7d1ea8f4-2017-4532-a304-95ac093b1002 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

PixelVAE++: Improved PixelVAE with Discrete Prior Categorical Reparameterization with Gumbel-Softmax

Reference 48

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Observation 75d1fb7e-9c03-47ec-9f4e-e53885e023a9 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

PixelVAE++: Improved PixelVAE with Discrete Prior The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 49

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This paper cites Gradient-based learning applied to document recognition.

PixelVAE++: Improved PixelVAE with Discrete Prior Gradient-based learning applied to document recognition

Reference 50

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Observation abd373e7-4213-4d0c-915e-5e5aa6d9d888 · outbound

This paper cites Inductive principles for re- stricted Boltzmann machine learning.

PixelVAE++: Improved PixelVAE with Discrete Prior Inductive principles for re- stricted Boltzmann machine learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:41.036678Z

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Observation ae1ae5b3-2f10-4132-977b-4db0f4ac715c · outbound

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

PixelVAE++: Improved PixelVAE with Discrete Prior Learning multiple layers of features from tiny images

Reference 52

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This paper cites Importance Weighted Autoencoders.

PixelVAE++: Improved PixelVAE with Discrete Prior Importance Weighted Autoencoders

Reference 53

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This paper cites Annealed importance sampling.

PixelVAE++: Improved PixelVAE with Discrete Prior Annealed importance sampling

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:41.009057Z

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Observation 796bff73-721e-4cfe-899b-51b58bd3cec4 · outbound

This paper cites Fixing a Broken ELBO.

PixelVAE++: Improved PixelVAE with Discrete Prior Fixing a Broken ELBO

Reference 55

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Observation 8f3c382f-9adf-4097-ba13-f005dbe6777e · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

PixelVAE++: Improved PixelVAE with Discrete Prior Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:40.979204Z

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Observation d2f3e161-922a-4994-a93f-d54571d1aad7 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overﬁtting.

PixelVAE++: Improved PixelVAE with Discrete Prior Dropout: a simple way to prevent neural networks from overﬁtting

Reference 57

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This paper cites Weight normalization: A simple reparameterization to accelerate training of deep neural networks.

PixelVAE++: Improved PixelVAE with Discrete Prior Weight normalization: A simple reparameterization to accelerate training of deep neural networks

Reference 58

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Observation a389cc5d-bea6-4f6f-92ed-62221a5165f6 · outbound

This paper cites Ladder variational autoencoders.

PixelVAE++: Improved PixelVAE with Discrete Prior Ladder variational autoencoders

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:40.889378Z

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 12905a1e-e2c6-4fb6-9eee-9556ff6a0c8e · outbound

This paper cites Sticking the landing: Simple, lower- variance gradient estimators for variational inference.

PixelVAE++: Improved PixelVAE with Discrete Prior Sticking the landing: Simple, lower- variance gradient estimators for variational inference

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:40.872257Z

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

Observation ec1f57f6-b899-4bdd-90d9-b2fcad97092f · outbound

This paper cites an unresolved cited work.

PixelVAE++: Improved PixelVAE with Discrete Prior Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:03:40.852305Z

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 7637847b-e326-42e7-9952-b7b7947ff35c · outbound

This paper cites an unresolved cited work.

PixelVAE++: Improved PixelVAE with Discrete Prior Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:03:40.833082Z

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 f8887fa1-f072-41ee-b021-7bd659530e55 · outbound

This paper cites The functions with q are encoding distributions pa- rameterized by neural networks while functions with f are deterministic transformation of latent variables.

PixelVAE++: Improved PixelVAE with Discrete Prior The functions with q are encoding distributions pa- rameterized by neural networks while functions with f are deterministic transformation of latent variables

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:03:40.798190Z

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.

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