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Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors

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Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation

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Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models

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Simulating diffusion bridges with score matching

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Manifold-constrained nucleus-level denoising diffusion model for structure-based drug design

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Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences

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Estimation of unnormalized statistical models without numerical integration

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Dynamic Constrained Multi-Objective Evolutionary Optimization via Adaptive Two-Stage Archiving and Autoencoder Prediction

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Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance

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Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods

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Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems

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A Deep Embedding Model for Co-occurrence Learning

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Feature selection using multiple auto-encoders

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Deep Analysis of Facial Behavioral Dynamics

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A Closer Look at Autoencoders for Unsupervised Anomaly Detection

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Fisher Auto-EncodersPreprint

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Improved Autoregressive Modeling with Distribution SmoothingPreprint

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ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio GenerationPreprint

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On the relation between statistical learning and perceptual distancesPreprint

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SE(3)-Equivariant Energy-based Models for End-to-End Protein FoldingPreprint

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Density Ratio Estimation via Infinitesimal ClassificationPreprint

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Can Push-forward Generative Models Fit Multimodal Distributions?Preprint

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Exponential Series Approaches for Nonparametric Graphical ModelsPreprint

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Foundations and Advances in Deep Learning

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Operator forces for coarse-grained molecular dynamics

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The spatially resolved effect of mergers on the stellar mass assembly of MaNGA galaxies

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Generative AI for biomedical video synthesis: a review

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High Resolution Seismic Waveform Generation Using Denoising Diffusion

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A generative diffusion model for amorphous materials

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Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems

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Annealed fractional Lévy–Itō diffusion models for protein generation

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Speed-Accuracy Relations for Diffusion Models: Wisdom from Nonequilibrium Thermodynamics and Optimal Transport

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Ice Phase Classification Made Easy with Score-Based Denoising

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Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation

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Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems

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Diffusion Models for Inverse Problems in Medical Imaging

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Score-Based Reverse Mean Propagation for Solving Inverse Problems

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Near-Field Channel Estimation for XL-MIMO via IDiT-Based Variance Exploding SDE Generator

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FNSE-SBGAN: Far-field speech enhancement with Schrödinger bridge and generative adversarial networks

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Applications of modular co-design for de novo 3D molecule generation

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Score-based modeling of effective Langevin dynamics

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Score-based transport modeling for mean-field Fokker-Planck equations

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Product of Gaussian Mixture Diffusion Models

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Score mismatching for generative modeling

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Kernel Diffusion: An Alternate Approach to Blind Deconvolution

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Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models

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Diffusion-based Representation Learning

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Score Matched Neural Exponential Families for Likelihood-Free Inference

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Automatic Spoken Language Acquisition Based on Observation and Dialogue

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Generative priors for MRI reconstruction trained from magnitude-only images using phase augmentation

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Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks

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A Novel Biometric Image Enhancement Approach With the Hybridization of Undecimated Wavelet Transform and Deep Autoencoder

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A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms

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Composite Denoising Autoencoders

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A Wasserstein Minimum Velocity Approach to Learning Unnormalized ModelsPreprint

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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable ModelsPreprint

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Joint Intensity-Gradient Guided Generative Modeling for ColorizationPreprint

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On Maximum Likelihood Training of Score-Based Generative Models.Preprint

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Novel View Synthesis with Pixel-Space Diffusion Models

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Score-Based Turbo Message Passing for Plug-and-Play Compressive Image Recovery

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Underwater acoustic signal denoising with diffusion-based generative models

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VIDEOSHOP: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

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Novel augmentation techniques using diffusion models for green wall plant health classification

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A Deep Generative Model for Five-Class Sleep Staging With Arbitrary Sensor Input

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A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement

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Unsupervised detection of rare events in liquid biopsy assays

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3D Molecule Generation via Diffusion Model with a Self-Attention-Based EGNN

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GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing

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Can we extract physics-like energies from generative protein diffusion Models?

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Can auto-encoders help with filling missing data?

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Bayesian Cramér-Rao Bound Estimation With Score-Based Models

Crafts, E. S., & Zhao, B. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10095110 · Cited by 4

Explicit Diffusion of Gaussian Mixture Model Based Image Priors

Zach, M., Pock, T., Kobler, E., & Chambolle, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-31975-4_1 · Cited by 5

Micro-macro consistency in multiscale modeling: Score-based model assisted sampling of fast/slow dynamical systems

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Fast Inference in Denoising Diffusion Models via MMD Finetuning

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IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation

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High Dimensional User-Specific Channel Generation for CSI Compression Using Diffusion Models

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Enhancing Image Layout Control with Loss-Guided Diffusion Models

Patel, Z., & Serkh, K. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00385 · Cited by 4

Gaussian Is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling

Yismaw, N., Kamilov, U. S., & Asif, M. S. (2025) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2025.3594988 · Cited by 5

ProT-GFDM: A generative fractional diffusion model for protein generation

Liang, X., Ma, W., Paquet, E., Viktor, H. L., & Michalowski, W. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.07.045 · Cited by 4

DreamArrangement: Learning Language-Conditioned Robotic Rearrangement of Objects via Denoising Diffusion and VLM Planner

Chen, W., Xiao, C., Gao, G., Sun, F., Zhang, C., & Zhang, J. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3611698 · Cited by 4

Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions

Li, Z., Hu, J., Xu, X., Shen, L., & Fessler, J. A. (2024) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2024.3458418 · Cited by 5

Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networksPreprint

Sonoda, S., & Murata, N. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1712.04145 · Cited by 4

Approximate Inference: New Visions

Li, Y. (2017) · Apollo (University of Cambridge) · doi:10.17863/cam.24865 · Cited by 4

Kernel Stein Generative ModelingPreprint

Chang, W.-C., Li, C., Mroueh, Y., & Yang, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.03074 · Cited by 4

On tuning consistent annealed sampling for denoising score matchingPreprint

Serrà, J., Pascual, S., & Pons, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.03725 · Cited by 4

Diffusion Factor Models: Generating High-Dimensional Returns with Factor StructurePreprint

Chen, M., Xu, R., Xu, Y., & Zhang, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5211437 · Cited by 21

Residual Learning in Diffusion Models

Zhang, J., Liu, D., Park, E., Zhang, S., & Xu, C. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00696 · Cited by 3

HotspotFusion: A Generative AI Approach to Predicting CMP Hotspot in Semiconductor Manufacturing

Hsiao, H.-H., & Wang, K. (2024) · IEEE Transactions on Semiconductor Manufacturing · doi:10.1109/tsm.2024.3510376 · Cited by 3

Design of 2D-Scanning Bifocal Metalens Antenna Using ControlNet-Enabled Stable Diffusion Deep Generative Model

Lee, C. W. L., Tan, P. K., & Gan, T. H. (2025) · IEEE Access · doi:10.1109/access.2025.3585147 · Cited by 4

A Flexible Zero-Shot Approach to Tone Mapping via Structure-Preserving Diffusion Models

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Improving Configuration Space Reconstruction through Multimodal Generative Models with Local Critics

Jimenez, J. O., & Suleiman, W. (2025) · IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) · doi:10.1109/arso64737.2025.11124974 · Cited by 3

Physics-guided human interaction generation via motion diffusion model

Gao, D., Wang, W., Liu, X., Hu, Y., & Liu, D. (2025) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2025.104470 · Cited by 3

Diff-Art: Category-level Articulation Pose Estimation via Conditional Diffusion

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Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors

Cai, C., Jiang, W., Yuan, X., & Zhang, Y. A. (2026) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2026.3663274 · Cited by 3

Adversarial Purification via Super-Resolution and Diffusion

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A Generative AI Framework for Inferring Consistent Ocean Statistics at Depth Using Sea Surface Data

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A Score-Based Approach for Training Schrödinger Bridges for Data Modelling

Winkler, L., Ojeda, C., & Opper, M. (2023) · Entropy · doi:10.3390/e25020316 · Cited by 6

Noisy Image Restoration Based on Conditional Acceleration Score Approximation

Shi, Z., & Liu, R. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446531 · Cited by 3

Generalised Diffusion Probabilistic Scale-Spaces

Peter, P. (2024) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-024-01202-0 · Cited by 3

Mixing artificial and natural intelligence: from statistical mechanics to AI and back to turbulence

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A connection between Score Matching

Autoencoders, D., & Vincent, P. (2010)

On Autoencoders and Score Matching for Energy Based Models

Swersky, K., Ranzato, M., Buchman, D., de Freitas, N., & Marlin, B. M. (2011) · Cited by 76

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

Li, Z., Chen, Y., & Sommer, F. T. (2019) · arXiv (Cornell University) · Cited by 13

On autoencoder scoring

Kamyshanska, H., & Memisevic, R. (2013) · Cited by 24

Optimizing Input of Denoising Score Matching is Biased Towards Higher Score NormPreprint

Xu, T. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2511.11727 · Cited by 1