Introspective Neural Networks for Generative Modeling

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AdaGAN: Boosting Generative ModelsPreprint

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Cooperative Training of Descriptor and Generator NetworksPreprint

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Introspective Classifier Learning: Empower Generatively.Preprint

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Diffusion Models: A Comprehensive Survey of Methods and Applications

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MRI Cross-Modality Image-to-Image Translation

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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

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Cooperative Training of Descriptor and Generator Networks

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Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based ModelPreprint

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Deep Set Prediction NetworksPreprint

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Dual Contradistinctive Generative Autoencoder

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Flow Contrastive Estimation of Energy-Based Models

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Wasserstein Introspective Neural Networks

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Learning Energy-Based Models by Diffusion Recovery LikelihoodPreprint

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Learning Generative ConvNets via Multi-grid Modeling and Sampling

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Learning Latent Space Energy-Based Prior ModelPreprint

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Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns

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Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

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On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

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MRI Cross-Modality NeuroImage-to-NeuroImage TranslationPreprint

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Introspective Classification with Convolutional NetsPreprint

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Adversarial Feedback Loop

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3D Volumetric Modeling with Introspective Neural Networks

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Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling

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Learning Data Representations with Joint Diffusion Models

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Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMCPreprint

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EGC: Image Generation and Classification via a Diffusion Energy-Based Model

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Synergetic Learning Systems: Interpretation of Deep Learning Using Physics

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Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and SamplingPreprint

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Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector CouplingPreprint

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Deep Consensus LearningPreprint

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JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare

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Resisting Large Data Variations via Introspective Transformation Network

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Synthesize-It-Classifier: Learning a Generative Classifier through Recurrent Self-analysis

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Spatial Transformer Introspective Neural Network.Preprint

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Learning Deep Generative Models with Short Run Inference DynamicsPreprint

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Learning to Represent and Predict Sets with Deep Neural NetworksPreprint

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Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence GuaranteesPreprint

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CoachGAN

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A Tale of Three Families: Discriminative, Descriptive, and Generative Models

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Crafting Seeding Imagery for Artmaking Generative AI Tools

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Adapt & Align: Continual Learning with Generative Models’ Latent Space Alignment

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QS-YOLOv8: a lightweight and efficient detector for small objects

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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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Introspective Generative Modeling: Decide DiscriminativelyPreprint

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Introspective Classification with Convolutional NetsPreprint

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Labeling Transformation and Introspective Learning with Convolutional Nets

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Deep Convolutional Generative Adversial Network on MNIST Dataset

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Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima

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