generative modeling
An area in AI focused on creating models that can generate new data samples resembling a training dataset, used in tasks such as image or text creation.
- A Black-Box Debiasing Framework for Conditional Sampling
- Align Your Flow: Scaling Continuous-Time Flow Map Distillation
- Aligning Text to Image in Diffusion Models is Easier Than You Think
- Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
- BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
- BlurDM: A Blur Diffusion Model for Image Deblurring
- BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
- Boosting Generative Image Modeling via Joint Image-Feature Synthesis
- Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
- CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
- Composition and Alignment of Diffusion Models using Constrained Learning
- Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
- Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
- Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
- Dimensional Collapse in VQVAEs: Evidence and Remedies
- Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
- Energy Loss Functions for Physical Systems
- Exponential Convergence Guarantees for Iterative Markovian Fitting
- FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
- Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
- Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
- Flow Matching Neural Processes
- FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
- FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
- From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries
- High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
- HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
- Implicit Generative Property Enhancer
- Improved Training Technique for Shortcut Models
- Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
- Informed Correctors for Discrete Diffusion Models
- ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
- Kuramoto Orientation Diffusion Models
- LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
- LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
- Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
- Mean Flows for One-step Generative Modeling
- Mean Flows for One-step Generative Modeling
- Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
- Native-Resolution Image Synthesis
- One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
- Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
- RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
- Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
- SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
- Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- Sampling 3D Molecular Conformers with Diffusion Transformers
- Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
- Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
- ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
- Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions
- TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
- Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
- Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
- Variational Polya Tree
- When Are Concepts Erased From Diffusion Models?