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Local-Global Decompositions for Conditional Microstructure Generation

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Diffusion models for Handwriting GenerationPreprint

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Autoencoding Under Normalization ConstraintsPreprint

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Internal pump leakage detection of the hydraulic systems with highly incomplete flow data

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Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models

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Causal Diffusion Models for Generalized Speech Enhancement

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The optimally designed autoencoder network for compressed sensing

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Investigating Training Objectives for Generative Speech Enhancement

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Physics-Inspired Generative Models in Medical Imaging

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Iterative Reconstruction for Low-Dose CT Using Deep Gradient Priors of Generative Model

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Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data

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Semiactive Nonsmooth Control for Building Structure with Deep Learning

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Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching

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Neural Empirical BayesPreprint

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Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation

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How artificial intelligence is reengineering protein engineering

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Energy-Based Imitation Learning

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ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data

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Iterative α -(de)Blending: a Minimalist Deterministic Diffusion Model

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Unpaired Downscaling of Fluid Flows with Diffusion Bridges

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PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models

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AI-enhanced time–frequency domain reflectometry for robust series arc fault detection in DC grids

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Generative Diffusion for Regional Surrogate Models From Sea‐Ice Simulations

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Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models

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Fault detection for ironmaking process based on stacked denoising autoencoders

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DVAE: Deep Variational Auto-Encoders for Denoising Retinal Fundus Image

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General Bayesian Loss Function Selection and the use of Improper Models

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Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation

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DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis

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An objective function for STDP.Preprint

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Generative Modeling with Denoising Auto-Encoders and Langevin SamplingPreprint

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DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis.Preprint

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AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

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A Brief Tour of Deep Learning from a Statistical Perspective

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Deep Learning for Natural Language Processing: A Survey

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Super-resolution reconstruction of LF NMR image based on DDPM for fruit non-destructive testing

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Denoising: a powerful building block for imaging, inverse problems and machine learning

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Efficient Learning of Generative Models via Finite-Difference Score MatchingPreprint

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Deep Generative Learning via Schrödinger BridgePreprint

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Prior frequency guided diffusion model for limited angle (LA)-CBCT reconstruction

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Unsupervised Bayesian generation of synthetic CT from CBCT using patient‐specific score‐based prior

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Provable Probabilistic Imaging Using Score-Based Generative Priors

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Lightweight Language-driven Grasp Detection using Conditional Consistency Model

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Score-Based Diffusion Models With Self-Supervised Learning for Accelerated 3D Multi-Contrast Cardiac MR Imaging

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Taming diffusion models for image restoration: a review

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A tale of three probabilistic families: Discriminative, descriptive, and generative models

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JEM++: Improved Techniques for Training JEM

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TFDPM: Attack detection for cyber–physical systems with diffusion probabilistic models

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DiffPhase: Generative Diffusion-Based STFT Phase Retrieval

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Learning Generative Models Using Denoising Density Estimators

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Multiscale Score Matching for Out-of-Distribution DetectionPreprint

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Data-driven stochastic closure modeling via conditional diffusion model and neural operator

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Fast and Reliable Score-Based Generative Model for Parallel MRI

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A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography

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Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model

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A Variance-Preserving Interpolation Approach for Diffusion Models With Applications to Single Channel Speech Enhancement and Recognition

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Taming Mode Collapse in Score Distillation for Text-to-3D Generation

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Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study

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Response Theory via Generative Score Modeling

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Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space

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Fundus Image Enhancement Through Direct Diffusion Bridges

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Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors

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Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion

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BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models

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Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model

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A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations

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Auto-Encoder Variants for Solving Handwritten Digits Classification Problem

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Vocbench: A Neural Vocoder Benchmark for Speech Synthesis

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Face Super-Resolution Using Stochastic Differential Equations

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Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement

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Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

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Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional SpacesPreprint

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Derivative-based pre-training of graph neural networks for materials property predictions

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Structure-aware diffusion for low-dose CT imaging

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Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties

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Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging

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Spiking Diffusion Models

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Diffusion Models and Generative Artificial Intelligence: Frameworks, Applications and Challenges

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Goal-Oriented Semantic Communication for Wireless Image Transmission via Stable Diffusion

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Learning data-efficient coarse-grained molecular dynamics from forces and noise

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Industrial X-ray Image Analysis with Deep Neural Networks Robust to Unexpected Input Data

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From denoising diffusions to denoising Markov models

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Dual Domain Diffusion Guidance for 3D CBCT Metal Artifact Reduction

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Representation learning with unconditional denoising diffusion models for dynamical systems

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Uniforming the dimensionality of data with neural networks for materials informatics

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Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks

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Noise Level Limited Sub-Modeling for Diffusion Probabilistic Vocoders

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Learning Dynamics of Linear Denoising AutoencodersPreprint

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Regularizing Model-Based Planning with Energy-Based ModelsPreprint

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