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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

TabMT: Generating tabular data with masked transformers NIPS 2023
Generalizable One-shot 3D Neural Head Avatar NIPS 2023
Normalizing flow neural networks by JKO scheme NIPS 2023
Understanding and Mitigating Copying in Diffusion Models NIPS 2023
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing NIPS 2023
On the choice of Perception Loss Function for Learned Video Compression 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
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NIPS 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task 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
Towards Consistent Video Editing with Text-to-Image Diffusion Models NIPS 2023
Text-to-Image Diffusion Models are Zero Shot Classifiers NIPS 2023
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs NIPS 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals NIPS 2023