Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization | Paper Citation Record

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This paper cites write newline.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization write newline

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

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Understanding disentangling in $\beta$-VAE

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This paper cites A., Nekrashevich, M., Mokrov, P., Burnaev, E., and Korotin, A.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization A., Nekrashevich, M., Mokrov, P., Burnaev, E., and Korotin, A

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This paper cites Learning Flat Latent Manifolds with VAEs.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Learning Flat Latent Manifolds with VAEs

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This paper cites Isolating Sources of Disentanglement in Variational Autoencoders.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Isolating Sources of Disentanglement in Variational Autoencoders

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This paper cites Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems

Reference 6

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Reference 7

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This paper cites Cooperative Distribution Alignment via JSD Upper Bound.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Cooperative Distribution Alignment via JSD Upper Bound

Reference 8

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This paper cites Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP).

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Reference 9

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This paper cites and Ozdaglar, A.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Ozdaglar, A

Reference 10

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This paper cites Interpolating between optimal transport and mmd using sinkhorn divergences.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Interpolating between optimal transport and mmd using sinkhorn divergences

Reference 11

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This paper cites Domain-adversarial training of neural networks.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Domain-adversarial training of neural networks

Reference 12

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Reference 13

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This paper cites Generative adversarial nets.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Generative adversarial nets

Reference 14

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This paper cites Isometric Autoencoders.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Isometric Autoencoders

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This paper cites M., Dilkina, B., and Ver Steeg, G.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization M., Dilkina, B., and Ver Steeg, G

Reference 16

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This paper cites Isometric Representation Learning for Disentangled Latent Space of Diffusion Models.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Reference 17

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This paper cites FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods , 2023.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods , 2023

Reference 18

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Unresolved cited work

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This paper cites When is unsupervised disentanglement possible? Advances in Neural Information Processing Systems, 34: 0 5150--5161, 2021.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization When is unsupervised disentanglement possible? Advances in Neural Information Processing Systems, 34: 0 5150--5161, 2021

Reference 20

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This paper cites J., Duvenaud, D., Wiltschko, A.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization J., Duvenaud, D., Wiltschko, A

Reference 21

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This paper cites Scaling Laws for Neural Language Models.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Scaling Laws for Neural Language Models

Reference 22

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Mnih, A

Reference 23

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization P., Welling, M., et al

Reference 24

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This paper cites The GAN landscape: Losses, architectures, regularization, and normalization, 2019.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization The GAN landscape: Losses, architectures, regularization, and normalization, 2019

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Unresolved cited work

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This paper cites The Variational Fair Autoencoder.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization The Variational Fair Autoencoder

Reference 27

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Are gans created equal? a large-scale study

Reference 28

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Learning adversarially fair and transferable representations

Reference 29

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Adversarial autoencoders, 2016

Reference 30

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization dsprites: Disentanglement testing sprites dataset

Reference 31

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Invariant representations without adversarial training

Reference 32

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Domain generalization via invariant feature representation

Reference 33

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Gromov-Wasserstein Autoencoders

Reference 34

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Patel, A

Reference 35

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization T., Rezende, D

Reference 36

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization DreamFusion: Text-to-3D using 2D Diffusion

Reference 37

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Learning Transferable Visual Models From Natural Language Supervision

Reference 38

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Denoising Diffusion Implicit Models

Reference 39

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Ermon, S

Reference 40

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Maximum likelihood training of score-based diffusion models

Reference 41

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Maximum Likelihood Training of Score-Based Diffusion Models

Reference 42

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization P., Kumar, A., Ermon, S., and Poole, B

Reference 43

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Zhang, K

Reference 44

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization and Welling, M

Reference 45

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Disentangled Representation Learning with the Gromov-Monge Gap

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Score-based generative modeling in latent space

Reference 48

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization A connection between score matching and denoising autoencoders

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization G., Xing, E., and Hu, Z

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This paper cites An alternating optimization method for bilevel problems under the polyak- ojasiewicz condition.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization An alternating optimization method for bilevel problems under the polyak- ojasiewicz condition

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This paper cites Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Central moment discrepancy (cmd) for domain-invariant representation learning

Reference 53

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Learning fair representations

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization M., Costeira, J

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Unresolved cited work

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization @esa (Ref

Reference 57

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Observation 146cebcb-19fc-4577-9f9a-146afcdd7dbd · outbound

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Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Unresolved cited work

Reference 58

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This paper cites FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods

Reference 59

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