FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents | Paper Citation Record

Observation fbb04357-7133-4620-be6d-0f6fdd56bcca · outbound

This paper cites Imposing fairness constraints in synthetic data generation.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Imposing fairness constraints in synthetic data generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.232357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3155580-63d1-4e2b-a6e6-b32f8e8b6195 · outbound

This paper cites A Reductions Approach to Fair Classification.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents A Reductions Approach to Fair Classification

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.326995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2272e4b-a07c-4801-aa0c-f40709221f19 · outbound

This paper cites How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.465167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5e1fc4-ba29-46c8-84c5-61077f71064e · outbound

This paper cites Machine bias: There's software used across the country to predict future criminals.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Machine bias: There's software used across the country to predict future criminals

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.569870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd42281-a585-4443-9d0f-ca532746bb4f · outbound

This paper cites Structured Denoising Diffusion Models in Discrete State-Spaces.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Structured Denoising Diffusion Models in Discrete State-Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.681864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3bfb07-5e34-4503-b9de-3ea3552abbda · outbound

This paper cites Adult (census income) data set, 1996.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Adult (census income) data set, 1996

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.857625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bfd89f2-5795-42c5-8f3e-381c23f28b54 · outbound

This paper cites AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:33.973069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab441bd-2566-4fa7-8544-a03312762848 · outbound

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

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.085916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f418ec-caa6-4199-9abd-d0274a0c1fad · outbound

This paper cites Erickson, Isabelle Guyon, and Kristin P.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Erickson, Isabelle Guyon, and Kristin P

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.198983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220fe543-f9de-4500-aadc-91e2ba6dbadb · outbound

This paper cites Deep Neural Networks and Tabular Data: A Survey.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Deep Neural Networks and Tabular Data: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.356528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687d6087-fa36-46ae-857d-e440169a8214 · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Language Models are Realistic Tabular Data Generators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.480982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d33f375-e500-4422-8103-34da38469834 · outbound

This paper cites Fairness in Machine Learning: A Survey.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Fairness in Machine Learning: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.633840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac3eef34-bd56-4026-9f90-c71a067b1b20 · outbound

This paper cites Path-specific counterfactual fairness.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Path-specific counterfactual fairness

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.745480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c3f360-6cbc-4553-95f0-89e3eeec6f46 · outbound

This paper cites Flexibly Fair Representation Learning by Disentanglement.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Flexibly Fair Representation Learning by Disentanglement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.890958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a6eed8-eb02-4c43-a8c6-8db85846eb57 · outbound

This paper cites SDMetrics : Metrics for evaluating synthetic tabular data, 2023.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents SDMetrics : Metrics for evaluating synthetic tabular data, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.077095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ac252a-6aae-45a2-8280-35e74a2ba21b · outbound

This paper cites Fairness through awareness.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Fairness through awareness

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.176647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01433ba0-a80d-4a11-b89c-51a8c8fefd1a · outbound

This paper cites Taming Transformers for High-Resolution Image Synthesis.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Taming Transformers for High-Resolution Image Synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.363661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f539fc80-1cf8-46f1-b6a5-c288b80e3dd0 · outbound

This paper cites Generative adversarial nets.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Generative adversarial nets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.519704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d13f500-fb22-46c3-8b34-32f208824ac5 · outbound

This paper cites Borgwardt, Malte J.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Borgwardt, Malte J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.685500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc68f276-03c7-4318-ba4f-29f617e78f76 · outbound

This paper cites Equality of Opportunity in Supervised Learning.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Equality of Opportunity in Supervised Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.809882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3728c144-ed16-42a5-81a3-f1ed71c219b8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Classifier-Free Diffusion Guidance

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:35.956789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ccd3036-0b91-4b39-90b4-ab641b731649 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Denoising Diffusion Probabilistic Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.067880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36b7357-ce99-46aa-9eec-ab389ca4b529 · outbound

This paper cites PATE-GAN : Generating synthetic data with differential privacy guarantees.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents PATE-GAN : Generating synthetic data with differential privacy guarantees

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.189191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751c27bb-f41b-46e4-a0da-2839fe3db7f5 · outbound

This paper cites Synthetic Data -- what, why and how?.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Synthetic Data -- what, why and how?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.307819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47282602-8bea-4752-8f02-af5761dbedbd · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Elucidating the Design Space of Diffusion-Based Generative Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.433656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15465fbb-6fc1-4921-a930-6615dd0dd2a6 · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Analyzing and Improving the Training Dynamics of Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.582426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a96f4e-5ffe-4608-90d3-3ff171498dd0 · outbound

This paper cites STaSy: Score-based Tabular data Synthesis.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents STaSy: Score-based Tabular data Synthesis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.697481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00abbda7-66ed-49d4-bb2f-2d2766d3aa0f · outbound

This paper cites Auto-Encoding Variational Bayes.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Auto-Encoding Variational Bayes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.821838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4380d9e2-39b2-4e65-8b18-de7bed1e2353 · outbound

This paper cites TabDDPM: Modelling Tabular Data with Diffusion Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents TabDDPM: Modelling Tabular Data with Diffusion Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.973194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d19a1e-5706-45a4-b4c8-86fc4b4d4d86 · outbound

This paper cites Counterfactual Fairness.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Counterfactual Fairness

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.049604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1de81b3-66c6-41d3-8cc1-6a4ffde5352c · outbound

This paper cites Improved Precision and Recall Metric for Assessing Generative Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Improved Precision and Recall Metric for Assessing Generative Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.179996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924d5da5-4a3e-40f7-aef0-e3be87a9472b · outbound

This paper cites A survey on datasets for fairness-aware machine learning.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents A survey on datasets for fairness-aware machine learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.308393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605a0d88-8898-430f-a82b-08364160638a · outbound

This paper cites CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.455853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46744af6-1a9e-4216-b0d9-71b2c1b5a03b · outbound

This paper cites GOGGLE : Generative modelling for tabular data by learning relational structure.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents GOGGLE : Generative modelling for tabular data by learning relational structure

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.548439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20f91fb-204c-46b1-a89f-de51c6f94fba · outbound

This paper cites The Variational Fair Autoencoder.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents The Variational Fair Autoencoder

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.610680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b0d265-95e7-4ea3-852e-b5768a951905 · outbound

This paper cites Learning Adversarially Fair and Transferable Representations.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Learning Adversarially Fair and Transferable Representations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.684396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b35223-adeb-4cca-a408-e2c023e100d0 · outbound

This paper cites TabFairGDT : A fast fair tabular data generator using autoregressive decision trees.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents TabFairGDT : A fast fair tabular data generator using autoregressive decision trees

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.735742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582d4684-8c26-4963-92aa-7acf3dde5f4e · outbound

This paper cites DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.805061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea5285b8-68d1-4bfb-aef4-b120f4f4fb74 · outbound

This paper cites Causal Fairness Analysis.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Causal Fairness Analysis

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.895069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60fa6afd-290d-4a23-809f-062a1d8fbaa3 · outbound

This paper cites TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:37.992426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1673e504-7e07-4bc8-85bf-3286301a4772 · outbound

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

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.049283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60cea192-d459-42a6-814e-23b39a6e23fa · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents High-Resolution Image Synthesis with Latent Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.116817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19bd8522-f8bb-4560-84dc-c9251062f16d · outbound

This paper cites Assessing Generative Models via Precision and Recall.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Assessing Generative Models via Precision and Recall

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.223153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24a8a3b8-66b1-4790-b3e4-09671fe02516 · outbound

This paper cites Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.371587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a5f068-fa3e-46eb-97d4-8bc9659bf4b7 · outbound

This paper cites DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.534308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c89336b3-dc0b-482e-8388-cbdf3dc35266 · outbound

This paper cites Neural Discrete Representation Learning.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Neural Discrete Representation Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.656661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e05c4c6-d414-4783-ac0f-a3d85ac99cbc · outbound

This paper cites Fairness definitions explained.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Fairness definitions explained

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.733891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc52554-83ee-4c82-991f-07383e493cc4 · outbound

This paper cites CuTS: Customizable Tabular Synthetic Data Generation.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents CuTS: Customizable Tabular Synthetic Data Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:38.902246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4caf2bfa-6340-46eb-8e53-29d667fc0537 · outbound

This paper cites Modeling Techniques for Machine Learning Fairness: A Survey.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Modeling Techniques for Machine Learning Fairness: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.073653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac165237-b18e-47c5-8193-61732717f629 · outbound

This paper cites Fairlearn: Assessing and Improving Fairness of AI Systems.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Fairlearn: Assessing and Improving Fairness of AI Systems

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.183180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34e1804-1b45-4a0f-81c6-49e18c7088bc · outbound

This paper cites Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.305831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80e570e-b14a-4c6a-a017-3e48e71897ed · outbound

This paper cites FairGAN: Fairness-aware Generative Adversarial Networks.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents FairGAN: Fairness-aware Generative Adversarial Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.435220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb02603-25dd-42cb-bc90-72ff2ade39af · outbound

This paper cites Modeling Tabular data using Conditional GAN.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Modeling Tabular data using Conditional GAN

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.504894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc0e0d5-cd4e-496d-9cc5-452e29c77ae0 · outbound

This paper cites Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.561172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c100b741-4588-466d-857b-ae7c374d5933 · outbound

This paper cites Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.623393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56089c30-57d8-48d2-bf01-785f9786bd47 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.679576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db533986-5170-4ddf-bbd5-41dbb415c3ec · outbound

This paper cites CTAB-GAN+: Enhancing Tabular Data Synthesis.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents CTAB-GAN+: Enhancing Tabular Data Synthesis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:39.751488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers