Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)

1. 2024Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillationcited by 276
2. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 251
3. 2023A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directionscited by 22
4. 2021Quaternion Generative Adversarial Networkscited by 17
5. 2022Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rulescited by 9
6. 2023Score Mismatching for Generative Modelingcited by 7
7. 2023From paintbrush to pixel: A review of deep neural networks in AI-generated artcited by 5
8. 2022Combating Mode Collapse in GANs via Manifold Entropy Estimationcited by 4
9. 2022High-dimensional density estimation with tensorizing flowcited by 4
10. 2022Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networkscited by 4
11. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysiscited by 3
12. 2023Dynamically Masked Discriminator for Generative Adversarial Networkscited by 2

1. 2026Synthetic but Not Realistic: The Evaluation Challenge in Generative Modelling for Structured Electronic Medical Records8 Jun 2026
2. 2025The Built-In Robustness of Decentralized Federated Averaging to Bad Data25 Feb 2025
3. 2024Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable1 May 2024
4. 2024Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation18 Mar 2024
5. 2023Score Mismatching for Generative Modeling20 Sep 2023
6. 2023A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions11 Jul 2023
7. 2023Dynamically Masked Discriminator for Generative Adversarial Networks13 Jun 2023
8. 2023CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing4 May 2023
9. 2023Improving GAN Training via Feature Space Shrinkage2 Mar 2023
10. 2023From paintbrush to pixel: A review of deep neural networks in AI-generated art14 Feb 2023
11. 2022Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks29 Dec 2022
12. 2022High-dimensional density estimation with tensorizing flow1 Dec 2022

1. 2024Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillationcited by 276
2. 2023Score Mismatching for Generative Modelingcited by 7
3. 2023From paintbrush to pixel: A review of deep neural networks in AI-generated artcited by 5
4. 2024Lazy Layers to Make Fine-Tuned Diffusion Models More Traceablecited by 2

1. 2024Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable1 May 2024
2. 2024Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation18 Mar 2024
3. 2023Score Mismatching for Generative Modeling20 Sep 2023
4. 2023From paintbrush to pixel: A review of deep neural networks in AI-generated art14 Feb 2023

1. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 251
2. 2023A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directionscited by 22
3. 2021Quaternion Generative Adversarial Networkscited by 17
4. 2022Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rulescited by 9
5. 2022Combating Mode Collapse in GANs via Manifold Entropy Estimationcited by 4
6. 2022High-dimensional density estimation with tensorizing flowcited by 4
7. 2022Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networkscited by 4
8. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysiscited by 3
9. 2023Dynamically Masked Discriminator for Generative Adversarial Networkscited by 2
10. 2023Improving GAN Training via Feature Space Shrinkagecited by 1
11. 2023CausalAPM: Generalizable Literal Disentanglement for NLU Debiasingcited by 0
12. 2025The Built-In Robustness of Decentralized Federated Averaging to Bad Datacited by 0

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1. 2026Synthetic but Not Realistic: The Evaluation Challenge in Generative Modelling for Structured Electronic Medical Records8 Jun 2026
2. 2025The Built-In Robustness of Decentralized Federated Averaging to Bad Data25 Feb 2025
3. 2023A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions11 Jul 2023
4. 2023Dynamically Masked Discriminator for Generative Adversarial Networks13 Jun 2023
5. 2023CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing4 May 2023
6. 2023Improving GAN Training via Feature Space Shrinkage2 Mar 2023
7. 2022Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks29 Dec 2022
8. 2022High-dimensional density estimation with tensorizing flow1 Dec 2022
9. 2022Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules7 Oct 2022
10. 2022Combating Mode Collapse in GANs via Manifold Entropy Estimation25 Aug 2022
11. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis19 Aug 2022
12. 2021Quaternion Generative Adversarial Networks19 Apr 2021

12 newest of 13 · All 13 (JSON)