Soft-Constrained Optimization of Latent Space in Variational Autoencoders | Paper Citation Record

Observation b1e13af1-9c01-4c1a-b0d4-e6a62fbbce9c · outbound

This paper cites An introduction to variational autoen- coders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders An introduction to variational autoen- coders,

Reference 1

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Observation 6484b671-e620-40e3-b48f-045aa0868e1a · outbound

This paper cites Auto-Encoding Variational Bayes.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Auto-Encoding Variational Bayes

Reference 2

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Observation d86b4152-2d93-4265-bc6a-1e30bd9c2302 · outbound

This paper cites Lossy Image Compression with Compressive Autoencoders.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Lossy Image Compression with Compressive Autoencoders

Reference 3

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Observation 0e7af5b3-4bfd-4eda-b40c-ac15c48b659a · outbound

This paper cites Variational autoencoders pursue pca directions (by accident),.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Variational autoencoders pursue pca directions (by accident),

Reference 4

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Observation 4a0cdc69-8df3-4434-850c-9f50891e28b0 · outbound

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

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Isolating sources of disentanglement in variational autoencoders,

Reference 5

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Observation 9b6051d2-86fd-4e3f-9807-37e195813a40 · outbound

This paper cites Towards a Definition of Disentangled Representations.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Towards a Definition of Disentangled Representations

Reference 6

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Observation 65244ab7-3a72-4643-95e3-9447a2534bf0 · outbound

This paper cites A framework for the quantitative evaluation of disentangled representations,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders A framework for the quantitative evaluation of disentangled representations,

Reference 7

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Observation 5c8aa83e-7f67-4564-8d8b-092ceb6e67ad · outbound

This paper cites Multi-level varia- tional autoencoder: Learning disentangled representations from grouped observations,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Multi-level varia- tional autoencoder: Learning disentangled representations from grouped observations,

Reference 8

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Observation fae3652f-69d6-493a-a5e3-5a156f8915af · outbound

This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Challenging common assumptions in the unsupervised learning of disentangled representations,

Reference 9

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Observation 95a904d4-22e7-4368-948c-96c591f8e9c4 · outbound

This paper cites A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoen- coder,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoen- coder,

Reference 10

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Observation 74b328ad-0602-4ddb-b882-5b5ee4bdef89 · outbound

This paper cites Anomaly detection through latent space restoration using vector-quantized variational autoencoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Anomaly detection through latent space restoration using vector-quantized variational autoencoders,

Reference 11

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Observation e95231c2-29af-47f4-ab4e-98e59dd9e6b0 · outbound

This paper cites Latent Space Oddity: On the Curvature of Deep Generative Models,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Latent Space Oddity: On the Curvature of Deep Generative Models,

Reference 12

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Observation 8f72e4b1-eecb-4d31-98ca-fb8392406704 · outbound

This paper cites Importance Weighted Autoencoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Importance Weighted Autoencoders,

Reference 13

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Observation ddcf7fcd-55c0-4b99-94da-14f85c03b68f · outbound

This paper cites Tackling Over- pruning in Variational Autoencoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Tackling Over- pruning in Variational Autoencoders,

Reference 14

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Observation 4dc7ad68-6921-40b5-93f5-bcf89004c4fb · outbound

This paper cites Sparsity in Variational Autoencoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Sparsity in Variational Autoencoders,

Reference 15

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Observation d04bc2bd-f4c7-4b2d-9eed-39a81fe25b04 · outbound

This paper cites Wasserstein Auto-Encoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Wasserstein Auto-Encoders,

Reference 16

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Observation 249ea2f0-51a6-4ac7-903c-0b08ef038a5e · outbound

This paper cites Epitomic Variational Graph Autoencoder,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Epitomic Variational Graph Autoencoder,

Reference 17

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Observation dbf46ba1-a8b4-429e-b250-a7b53cba0f4b · outbound

This paper cites Beta-V AE: Learning Basic Visual Concepts with a Constrained Variational Framework,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Beta-V AE: Learning Basic Visual Concepts with a Constrained Variational Framework,

Reference 18

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Observation 20b7ee48-9b7d-4ae3-9317-c7f4ce7c7d7b · outbound

This paper cites Generative adversarial nets,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Generative adversarial nets,

Reference 19

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Observation f77e54a5-7dd5-4c6a-9d7f-584d14cf6a2b · outbound

This paper cites A Survey on Generative Diffusion Model,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders A Survey on Generative Diffusion Model,

Reference 20

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Observation fb0c458f-4d88-44e5-8178-458e723ceb26 · outbound

This paper cites A Survey on Variational Autoencoders from a Green AI Perspective,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders A Survey on Variational Autoencoders from a Green AI Perspective,

Reference 21

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Observation 5d1639fe-23a5-4630-a84c-abe8ad80f6c7 · outbound

This paper cites Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders,

Reference 22

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Observation b7ed3938-4cd9-4f60-a430-90081c6ccb45 · outbound

This paper cites The Autoencoding Variational Autoencoder,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders The Autoencoding Variational Autoencoder,

Reference 23

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Observation 060aaf24-b2f6-4e22-b3da-1dd56b222248 · outbound

This paper cites Consistency Regularization for Variational Auto-Encoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Consistency Regularization for Variational Auto-Encoders,

Reference 24

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Observation e5e45195-73e5-487c-a5ac-1d430407e377 · outbound

This paper cites InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Reference 25

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Observation abac6188-0f04-44a5-a7aa-96ae3ec499a5 · outbound

This paper cites Disentangling by factorising,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Disentangling by factorising,

Reference 26

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Observation d3e90e68-3ca5-40d4-93be-48a8e2217ce5 · outbound

This paper cites When Is Unsupervised Dis- entanglement Possible?.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders When Is Unsupervised Dis- entanglement Possible?

Reference 27

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This paper cites Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization,

Reference 28

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Observation 1f707165-eb23-47c5-b086-eb919a9b11d4 · outbound

This paper cites Varia- tional Autoencoders and Nonlinear ICA: A Unifying Framework,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Varia- tional Autoencoders and Nonlinear ICA: A Unifying Framework,

Reference 29

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Observation e4a2d2f6-974f-4ba4-8afb-86e81992a7fa · outbound

This paper cites GD-V AEs: Geometric Dynamic Varia- tional Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders GD-V AEs: Geometric Dynamic Varia- tional Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions,

Reference 30

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Observation 4f0c7863-25d3-4688-be77-5ecba0d5819a · outbound

This paper cites Nonlinear Dimension Reduction by PDF Estimation,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Nonlinear Dimension Reduction by PDF Estimation,

Reference 31

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Observation 9d5e6395-73b9-4d45-87d7-41b2af6d7d88 · outbound

This paper cites A Variational Autoencoder- Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders A Variational Autoencoder- Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids,

Reference 32

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This paper cites Connections with robust PCA and the role of emergent sparsity in variational autoencoder models,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Connections with robust PCA and the role of emergent sparsity in variational autoencoder models,

Reference 33

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Observation 835f0457-280e-4ed1-9e68-87716be78b6c · outbound

This paper cites Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Reference 34

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Observation a3462fe4-6751-47cc-8649-83e8b0f3404d · outbound

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders Optimizing the Latent Space of Generative Networks

Reference 35

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This paper cites Maskaae: Latent space optimization for adversarial auto-encoders,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Maskaae: Latent space optimization for adversarial auto-encoders,

Reference 36

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This paper cites Goodfellow, Y.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Goodfellow, Y

Reference 37

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This paper cites Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence,

Reference 38

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders Constrained convolutional neural networks for weakly supervised segmentation,

Reference 39

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders Constrained policy opti- mization,

Reference 40

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This paper cites Spectral Norm Regularization for Improving the Generalizability of Deep Learning.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Spectral Norm Regularization for Improving the Generalizability of Deep Learning

Reference 41

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders Deep learning of constrained autoen- coders for enhanced understanding of data,

Reference 42

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders l1 -norm batch normalization for efficient training of deep neural networks,

Reference 43

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This paper cites Tau-fpl: Tolerance-constrained learning in linear time,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Tau-fpl: Tolerance-constrained learning in linear time,

Reference 44

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This paper cites Constrained deep learning using conditional gradient and applications in computer vision,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Constrained deep learning using conditional gradient and applications in computer vision,

Reference 45

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This paper cites Application of constrained learning in making deep networks more transparent, regularized, and biologically plausible,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Application of constrained learning in making deep networks more transparent, regularized, and biologically plausible,

Reference 46

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This paper cites End-to-End Constrained Optimization Learning: A Survey.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders End-to-End Constrained Optimization Learning: A Survey

Reference 47

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This paper cites COIL: Constrained optimization in learned latent space: Learning representations for valid solutions,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders COIL: Constrained optimization in learned latent space: Learning representations for valid solutions,

Reference 48

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Soft-Constrained Optimization of Latent Space in Variational Autoencoders Sample-based non-uniform random variate generation,

Reference 49

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This paper cites Karush, Minima of Functions of Several Variables with Inequalities as Side Conditions.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Karush, Minima of Functions of Several Variables with Inequalities as Side Conditions

Reference 50

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This paper cites Nonlinear programming,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Nonlinear programming,

Reference 51

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Observation 49bc901c-bafc-4385-bbb4-3b2a320b7d8d · outbound

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

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Understanding disentangling in $\beta$-VAE

Reference 52

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This paper cites Entropy, Relative Entropy, and Mutual Information,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Entropy, Relative Entropy, and Mutual Information,

Reference 53

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This paper cites dsprites: Disentanglement testing sprites dataset,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders dsprites: Disentanglement testing sprites dataset,

Reference 54

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This paper cites The mnist database of handwritten digit images for machine learning research [best of the web],.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders The mnist database of handwritten digit images for machine learning research [best of the web],

Reference 55

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This paper cites Optuna: A next- generation hyperparameter optimization framework,.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Optuna: A next- generation hyperparameter optimization framework,

Reference 56

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This paper cites Available: https://proceedings.neurips.cc/paper/2018/ file/1ee3dfcd8a0645a25a35977997223d22-Paper.pdf.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Available: https://proceedings.neurips.cc/paper/2018/ file/1ee3dfcd8a0645a25a35977997223d22-Paper.pdf

Reference 2018

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