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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

Efficient Neural Music Generation NIPS 2023
Crystal Structure Prediction by Joint Equivariant Diffusion NIPS 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NIPS 2023
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution NIPS 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NIPS 2023
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts NIPS 2023
Dynamically Masked Discriminator for GANs NIPS 2023
Moment Matching Denoising Gibbs Sampling NIPS 2023
$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties NIPS 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events NIPS 2023
Gaussian Mixture Solvers for Diffusion Models NIPS 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NIPS 2023
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering NIPS 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023
Towards Test-Time Refusals via Concept Negation NIPS 2023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation NIPS 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NIPS 2023
Addressing Negative Transfer in Diffusion Models NIPS 2023
Canonical normalizing flows for manifold learning NIPS 2023
Regularizing Neural Networks with Meta-Learning Generative Models NIPS 2023
Energy Transformer NIPS 2023
High-Fidelity Audio Compression with Improved RVQGAN NIPS 2023
Learning Energy-based Model via Dual-MCMC Teaching NIPS 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023