BIOENGINEER

AI Trick Turns 76 Soil Samples Into a Powerful Carbon-Mapping Tool

A systematic 264-experiment study in China found that a Wasserstein GAN augmenting just 76 soil samples improved drone-based ...
BIOENGINEER

AI Learns to Compose: Hybrid Model Blends Deep Learning and Reinforcement Learning to Write Better Melodies

A new hybrid framework combining a Variational Autoencoder with Proximal Policy Optimization reinforcement learning generates ...
IEEE

Conditional Variational Autoencoder for Gloss-Free Sign Language Translation

Abstract: Sign language translation (SLT) traditionally requires costly human gloss annotations. Recently, gloss-free approaches, which directly generate text from video, have been studied and ...
blog.csdn

how convolutional conditional variational autoencoder works

The Variational Autoencoder (VAE) and its advanced variants, such as the Conditional Variational Autoencoder (CVAE), are powerful generative models with a wide range of applications across various ...
blog.csdn

生成模型实战 | 条件变分自编码器（conditional Variational Autoencoder, cVAE）

慢慢的将各种models啥的都研究透彻，慢慢的都将其研究一遍，全部都将其搞定。争取会自己用到零样本学习当中。全部都将其搞定都行啦的理由与打算。 只把 ACT 中的 CVAE（Conditional Variational ...
GitHub

Project 1: Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...
Yahoo Finance

Merck & Co., Inc. (MRK) Partners with Variational AI to leverage AI in Enhancing Drug Development

The above button links to Coinbase. Yahoo Finance is not a broker-dealer or investment adviser and does not offer securities or cryptocurrencies for sale or facilitate trading. Coinbase pays us for ...
GitHub

[ICCV 2025] Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

Fine-grained, continuous control over multiple attributes at once (e.g., exact eye-openness and car width) on top of any pretrained diffusion model. A decoupled cross-attention layer that cleanly ...
IEEE

Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...
PNAS

Generative prediction of causal gene sets responsible for complex traits

Researchers have long sought to bridge the gap between phenotypes and the genotypes that cause them. This gap remains open because current methods focus on associating phenotypes to a combinatorially ...