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Generative Models

6,381 papers

Papers per year

Papers

One-Step Diffusion Distillation via Deep Equilibrium Models NIPS 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent NIPS 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NIPS 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models NIPS 2023
Rethinking Conditional Diffusion Sampling with Progressive Guidance NIPS 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NIPS 2023
Mirror Diffusion Models for Constrained and Watermarked Generation NIPS 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives NIPS 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NIPS 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NIPS 2023
TabMT: Generating tabular data with masked transformers NIPS 2023
Normalizing flow neural networks by JKO scheme NIPS 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NIPS 2023
On Calibrating Diffusion Probabilistic Models NIPS 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NIPS 2023
Flow Factorized Representation Learning NIPS 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation NIPS 2023
GenEval: An object-focused framework for evaluating text-to-image alignment NIPS 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality NIPS 2023
Towards Symmetry-Aware Generation of Periodic Materials NIPS 2023
Geometric Neural Diffusion Processes NIPS 2023
Generating QM1B with PySCF$_{\text{IPU}}$ NIPS 2023
MGDD: A Meta Generator for Fast Dataset Distillation NIPS 2023
Latent Diffusion for Language Generation NIPS 2023