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Diffusion Models in Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2023-09, Vol.45 (9), p.1-20

2023

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Pros and cons of GAN evaluation measures: New developments

Computer vision and image understanding, 2022-01, Vol.215, p.103329, Article 103329

Borji, Ali

2022

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Deep Generative Modeling for Scene Synthesis via Hybrid Representations

ACM transactions on graphics, 2020-04, Vol.39 (2), p.1-21

2020

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Lifelong generative modeling

Neurocomputing (Amsterdam), 2020-09, Vol.404, p.381-400

2020

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Graph2Plan: learning floorplan generation from layout graphs

ACM transactions on graphics, 2020-07, Vol.39 (4), p.118:1-118:14, Article 118

2020

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Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions

Computers & chemical engineering, 2020-10, Vol.141, p.107005, Article 107005

2020

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Physically-admissible polarimetric data augmentation for road-scene analysis

Computer vision and image understanding, 2022-09, Vol.222, p.103495, Article 103495

2022

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From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design

Molecular pharmaceutics, 2019-10, Vol.16 (10), p.4282-4291

2019

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Variational Quantum Generators: Generative Adversarial Quantum Machine Learning for Continuous Distributions

Advanced quantum technologies (Online), 2021-01, Vol.4 (1), p.n/a

2021

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Exploring generative adversarial networks and adversarial training

International journal of cognitive computing in engineering, 2022-06, Vol.3, p.78-89

2022

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Discrete Point Flow Networks for Efficient Point Cloud Generation

Computer Vision - ECCV 2020, 2020, Vol.12368, p.694-710

2020

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Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

Transportation research. Part C, Emerging technologies, 2020-11, Vol.120, p.102787, Article 102787

2020

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Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms

IEEE transactions on pattern analysis and machine intelligence, 2023-07, Vol.45 (7), p.8143-8158

2023

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Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation

Computer methods in applied mechanics and engineering, 2024-07, Vol.427, p.117023, Article 117023

2024

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Performance-Based Generative Design for Parametric Modeling of Engineering Structures Using Deep Conditional Generative Models

Automation in construction, 2023-12, Vol.156, p.105128, Article 105128

2023

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Vitruvio: Conditional variational autoencoder to generate building meshes via single perspective sketches

Automation in construction, 2024-10, Vol.166, p.105498, Article 105498

2024

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Investigating object compositionality in Generative Adversarial Networks

Neural networks, 2020-10, Vol.130, p.309-325

2020

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Deep generative modeling-based data augmentation with demonstration using the BFBT benchmark void fraction datasets

Nuclear engineering and design, 2023-12, Vol.415, p.112712, Article 112712

2023

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Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods

Drug discovery today, 2022-07, Vol.27 (7), p.1847-1861

2022

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EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost

IEEE transaction on neural networks and learning systems, 2024-08, Vol.PP, p.1-15

2024

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Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence

Methods in molecular biology (Clifton, N.J.), 2024, Vol.2714, p.329

2024

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Show, Attend, and Translate: Unsupervised Image Translation With Self-Regularization and Attention

IEEE transactions on image processing, 2019-10, Vol.28 (10), p.4845-4856

2019

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How to generate micro-agents? A deep generative modeling approach to population synthesis

Transportation research. Part C, Emerging technologies, 2019-09, Vol.106, p.73-97

2019

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Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding

Computer Vision - ECCV 2020, 2020, Vol.12356, p.282-298

2020

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Generative modeling via tensor train sketching

Applied and computational harmonic analysis, 2023-11, Vol.67, p.101575, Article 101575

2023

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Diffusion Models in Vision: A Survey

Pros and cons of GAN evaluation measures: New developments

Deep Generative Modeling for Scene Synthesis via Hybrid Representations

Lifelong generative modeling

Graph2Plan: learning floorplan generation from layout graphs

Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions

Physically-admissible polarimetric data augmentation for road-scene analysis

From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design

Variational Quantum Generators: Generative Adversarial Quantum Machine Learning for Continuous Distributions

Exploring generative adversarial networks and adversarial training

Discrete Point Flow Networks for Efficient Point Cloud Generation

Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms

Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation

Performance-Based Generative Design for Parametric Modeling of Engineering Structures Using Deep Conditional Generative Models

Vitruvio: Conditional variational autoencoder to generate building meshes via single perspective sketches

Investigating object compositionality in Generative Adversarial Networks

Deep generative modeling-based data augmentation with demonstration using the BFBT benchmark void fraction datasets

Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods

EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost

Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence

Show, Attend, and Translate: Unsupervised Image Translation With Self-Regularization and Attention

How to generate micro-agents? A deep generative modeling approach to population synthesis

Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding

Generative modeling via tensor train sketching

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