88 datasets found

The dataset used in the paper is a synthetic dataset generated with various structural equation types for all three forms of causal queries.

Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in...

A transformer-based diffusion model for layout generation.

A robustness and generalizability study of deepfake detection using diffusion models.

A method for estimating gradients for waveform generation using diffusion models.

A music generation model that leverages free-form text as a conditioning factor, utilizing the diffusion model to generate waveform-based music.

Minimally-supervised speech synthesis method based on diffusion models with minimal supervision. Introduces the CTAP method as an intermediate semantic representation and uses...

The data distribution is taken to be a 25-dimensional Gaussian distribution, generated by mixture of gaussians.

The data distribution is taken to be a one-dimensional Gaussian distribution, P0(x0) = N (x0 | 0, v0).

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained text-to-image diffusion model and a pre-trained 3D model.

This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL).

The archive A contains policies parameterized by deep neural networks and trained via a state of the art QD-RL method PPGA.

Quality Diversity (QD) is an emerging field in which collections of high performing, behaviorally diverse solutions are trained. The foundational method, Map Elites, maintains...

The dataset used in the paper is a diffusion model dataset, where the authors investigate the robustness of Tree-Ring Watermarking in the identification task.

A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model...

Text-guided image editing using diffusion models

Generating ligand molecules for specific protein targets, known as structure-based drug design, is a fundamental problem in therapeutics development and biological discovery.

Large-scale graphs with node attributes are increasingly common in various real-world applications. Creating synthetic, attribute-rich graphs that mirror real-world examples is...

Text-to-image diffusion models with an ensemble of expert denoisers

Diffusion-based graph generative models have recently obtained promising results for graph generation. However, existing diffusion-based graph generative models are mostly...