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Paper Citation Record · LEDGER

Bidirectional Variational Autoencoders

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.16074.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.16074 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:25.414777Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8515d18-e454-4454-9b68-28f8d418f48a · outbound

This paper cites Bidirectional representation and backpropa- gation learning,.

Bidirectional Variational Autoencoders Bidirectional representation and backpropa- gation learning,

Reference 1

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Observation ee0527c3-4718-4ee3-aadd-dff84c3659e1 · outbound

This paper cites Bidirectional backpropagation,.

Bidirectional Variational Autoencoders Bidirectional backpropagation,

Reference 2

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Observation 82f6fb44-1d90-4c79-b0e3-20f8fadcc5bc · outbound

This paper cites Deeper neural networks with non-vanishing logistic hidden units: Nova vs. relu neurons,.

Bidirectional Variational Autoencoders Deeper neural networks with non-vanishing logistic hidden units: Nova vs. relu neurons,

Reference 3

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Observation 20fbabd0-bc50-4bb7-a659-28a3e877b959 · outbound

This paper cites Deeper bidirectional neural networks with generalized non-vanishing hidden neurons,.

Bidirectional Variational Autoencoders Deeper bidirectional neural networks with generalized non-vanishing hidden neurons,

Reference 4

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8f854c52-af87-45c4-bb9a-72ad05b0da3d · outbound

This paper cites Bidirectional backpropagation autoencoding networks for image compression and denoising,.

Bidirectional Variational Autoencoders Bidirectional backpropagation autoencoding networks for image compression and denoising,

Reference 5

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Observation e705c831-bdb0-43f1-bf6a-b1188ba09213 · outbound

This paper cites Importance Weighted Autoencoders.

Bidirectional Variational Autoencoders Importance Weighted Autoencoders

Reference 6

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Observation 05cda3a7-cab4-4bb5-a423-30a905778835 · outbound

This paper cites Importance weighted autoencoders,.

Bidirectional Variational Autoencoders Importance weighted autoencoders,

Reference 7

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Observation ade833ea-9e57-4e09-b3b7-e8d40da0eb56 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

Bidirectional Variational Autoencoders Understanding disentangling in $\beta$-VAE

Reference 8

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Observation a1a3ad05-3e04-4783-9f11-d9aa16b6511a · outbound

This paper cites Hamiltonian variational auto-encoder,.

Bidirectional Variational Autoencoders Hamiltonian variational auto-encoder,

Reference 9

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Observation c2b32aa9-9755-411f-a3c0-f468f4ffe66f · outbound

This paper cites Pythae: Unifying generative autoencoders in python - A benchmarking use case,.

Bidirectional Variational Autoencoders Pythae: Unifying generative autoencoders in python - A benchmarking use case,

Reference 10

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Observation 53e9de3e-6241-4682-bb25-879241ee1cbe · outbound

This paper cites Isolating sources of disentanglement in variational autoencoders,.

Bidirectional Variational Autoencoders Isolating sources of disentanglement in variational autoencoders,

Reference 11

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Observation efc1d33e-6838-45ef-9b87-cefd85efb520 · outbound

This paper cites Hyperspherical variational auto-encoders,.

Bidirectional Variational Autoencoders Hyperspherical variational auto-encoders,

Reference 12

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Observation 138540e4-a869-4e12-9f46-744a38157aab · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Bidirectional Variational Autoencoders A guide to convolution arithmetic for deep learning

Reference 13

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Observation 84aaf1ee-ce70-40ca-9b8e-cafab55f7ebd · outbound

This paper cites Sur la distance de deux lois de probabilit ´e,.

Bidirectional Variational Autoencoders Sur la distance de deux lois de probabilit ´e,

Reference 14

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Observation 18385b36-e879-4406-869d-eced7ccf7063 · outbound

This paper cites From variational to deterministic autoencoders,.

Bidirectional Variational Autoencoders From variational to deterministic autoencoders,

Reference 15

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Observation 9d036151-085c-471f-bb11-ad46c94cda42 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Bidirectional Variational Autoencoders Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 16

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Observation 9fa93126-1ccc-4e53-9164-5fa76453d099 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

Bidirectional Variational Autoencoders beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3526d3e9-fa28-4fef-9fd6-584fb914cfb4 · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Bidirectional Variational Autoencoders Reducing the dimensionality of data with neural networks,

Reference 18

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Observation 749253a0-3790-4ae3-81b1-a129ba719087 · outbound

This paper cites Auto-encoding variational bayes,.

Bidirectional Variational Autoencoders Auto-encoding variational bayes,

Reference 19

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Observation f4bda8fc-a182-45ec-9179-2fd00f5b8b59 · outbound

This paper cites Bidirectional associative memories,.

Bidirectional Variational Autoencoders Bidirectional associative memories,

Reference 20

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Observation 2b27e815-0bd5-4652-9bea-0e33cdc45c83 · outbound

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

Bidirectional Variational Autoencoders Learning multiple layers of features from tiny images,

Reference 21

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Observation b7394fb4-10fa-4b91-8901-d9e656e574a7 · outbound

This paper cites Classification using discriminative re- stricted boltzmann machines,.

Bidirectional Variational Autoencoders Classification using discriminative re- stricted boltzmann machines,

Reference 22

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Observation 55dcad98-ae54-4098-87e5-d7ef8c6cb4f1 · outbound

This paper cites The mnist database of handwritten digits,.

Bidirectional Variational Autoencoders The mnist database of handwritten digits,

Reference 23

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Observation 316cdeb1-7f98-48fa-b224-0208a18c15fd · outbound

This paper cites Deep learning face attributes in the wild,.

Bidirectional Variational Autoencoders Deep learning face attributes in the wild,

Reference 24

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Observation 8be779af-18af-4c3c-ac37-cbf3cd712c45 · outbound

This paper cites Decoupled Weight Decay Regularization.

Bidirectional Variational Autoencoders Decoupled Weight Decay Regularization

Reference 25

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Observation f2cd0b9e-f611-4004-9a68-a2f8568edc19 · outbound

This paper cites Tighter variational bounds are not necessarily better,.

Bidirectional Variational Autoencoders Tighter variational bounds are not necessarily better,

Reference 26

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Observation c37a9b69-b9c6-47b8-afe5-b8874cdb90a0 · outbound

This paper cites Consistency regularization for variational auto-encoders,.

Bidirectional Variational Autoencoders Consistency regularization for variational auto-encoders,

Reference 27

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Observation dd033430-b0f1-4221-9c94-2169c3e0d99d · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learning rates,.

Bidirectional Variational Autoencoders Super-convergence: Very fast training of neural networks using large learning rates,

Reference 28

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Observation 4dd35b91-d7f7-48b7-922f-759d1bf0fbe0 · outbound

This paper cites Information processing in dynamical systems: Foundations of harmony theory,.

Bidirectional Variational Autoencoders Information processing in dynamical systems: Foundations of harmony theory,

Reference 29

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1846642e-160f-45a4-87a7-0070d656cd29 · outbound

This paper cites Visualizing data using t-sne.

Bidirectional Variational Autoencoders Visualizing data using t-sne

Reference 30

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Observation 5a4e3d00-913c-4cdd-ab16-aa98f5d81c37 · outbound

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

Bidirectional Variational Autoencoders Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,

Reference 31

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Observation b4b1430a-3b02-45db-90f4-ee6aa712a1b6 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Bidirectional Variational Autoencoders Image quality assessment: from error visibility to structural similarity,

Reference 32

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Observation d7454cf2-7fa7-472d-a387-126725ff496a · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Bidirectional Variational Autoencoders Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 33

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Observation 9074030b-7d7c-4dbc-8228-bb3fd949c067 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Bidirectional Variational Autoencoders InfoVAE: Information Maximizing Variational Autoencoders

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.