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Generative Models

7,221 papers

Papers per year

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Papers

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion NIPS 2023
A generative model of the hippocampal formation trained with theta driven local learning rules NIPS 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NIPS 2023
OBJECT 3DIT: Language-guided 3D-aware Image Editing NIPS 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models NIPS 2023
Parallel Sampling of Diffusion Models NIPS 2023
Score-based Source Separation with Applications to Digital Communication Signals NIPS 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models NIPS 2023
Learning Modulated Transformation in GANs NIPS 2023
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NIPS 2023
Revisiting the Evaluation of Image Synthesis with GANs NIPS 2023
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NIPS 2023
Star-Shaped Denoising Diffusion Probabilistic Models NIPS 2023
On Measuring Fairness in Generative Models NIPS 2023
Non-adversarial training of Neural SDEs with signature kernel scores NIPS 2023
Deep Recurrent Optimal Stopping NIPS 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Compositional Sculpting of Iterative Generative Processes NIPS 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback NIPS 2023
Balanced Training for Sparse GANs NIPS 2023
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale NIPS 2023
ARTree: A Deep Autoregressive Model for Phylogenetic Inference NIPS 2023
Flow Matching for Scalable Simulation-Based Inference NIPS 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models NIPS 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) NIPS 2023