NEWSLETTER
Unfalanced: a latent diffusion model of generative space audio
We introduce Vanesdiffusion, a generative end -to -end audio model that produces immersive 3D sound landscapes conditioned in the spatial, ...
Tag: latent
Meet Huginn-3.5b: a new model of reasoning with scalable latent computing
artificial intelligence models face a fundamental challenge to efficiently climb their reasoning capabilities at the time of the test. Although ...
Latent Functional Maps: A Robust Machine Learning Framework for Analyzing Neural Network Representations
Neural networks (NN) remarkably transform high-dimensional data into compact, lower-dimensional latent spaces. While researchers traditionally focus on model outputs such ...
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Diffusion models have become a powerful tool for generating high-quality images from textual descriptions. Despite their successes, these models often ...
Meet Stochastic Flow Matching: An AI Framework That Maps Low Resolution to Latent Space and Matches High Resolution Targets Effectively
Atmospheric science and meteorology have recently advanced the modeling of local weather and climate phenomena by capturing fine-scale dynamics crucial ...
This AI article presents a unified perspective on the relationship between latent space and generative models
In recent years there have been drastic changes in the field of imaging, mainly due to the development of latent-based ...
How BRIA AI used distributed training in Amazon SageMaker to train latent diffusion foundation models for commercial use
This post is co-written with Bar Fingerman from BRIA ai. This post explains how ai/">BRIA ai trained BRIA ai 2.0, ...
TiTok: an innovative AI method to tokenize images into 1D latent sequences
In recent years, imaging has made significant progress due to advances in both transformers and diffusion models. Similar to trends ...
DataSP: A Shortest Path and Differentiable Machine Learning Algorithm to Facilitate Learning of Latent Costs of Trajectories
In traffic management and urban planning, the ability to learn optimal routes from demonstrations conditioned on contextual features is very ...
Nota AI researchers present LD-Pruner: a novel performance-preserving structured pruning method for compressing latent diffusion LDM models
Generative models have emerged as transformative tools in several domains, including computer vision and natural language processing, by learning data ...
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