Tootfinder

I finally made it: an XOR mechanism that requires exactly one of two keys to be inserted at a time. I call it the 🗝️ #keyguardian.
This is very useful for example to track where important small things go: Want to take the car keys? You have to insert your name tag to unlock it.
My first mechanical project with

This https://arxiv.org/abs/2308.11859 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Example-Based Framework for Perceptually Guided Audio Texture Generation
Controllable generation using StyleGANs is usually achieved by training the model using labeled data. For audio textures, however, there is currently a lack of large semantically labeled datasets. Therefore, to control generation, we develop a method for semantic control over an unconditionally trained StyleGAN in the absence of such labeled datasets. In this paper, we propose an example-based framework to determine guidance vectors for audio texture generation based on user-defined semantic at…

This https://arxiv.org/abs/2402.08777 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

DNABERT-S: Learning Species-Aware DNA Embedding with Genome Foundation Models
Effective DNA embedding remains crucial in genomic analysis, particularly in scenarios lacking labeled data for model fine-tuning, despite the significant advancements in genome foundation models. A prime example is metagenomics binning, a critical process in microbiome research that aims to group DNA sequences by their species from a complex mixture of DNA sequences derived from potentially thousands of distinct, often uncharacterized species. To fill the lack of effective DNA embedding models…

DNABERT-S: Learning Species-Aware DNA Embedding with Genome Foundation Models
Zhihan Zhou, Winmin Wu, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu
https://arxiv.org/abs/2402.08777

DNABERT-S: Learning Species-Aware DNA Embedding with Genome Foundation Models
Effective DNA embedding remains crucial in genomic analysis, particularly in scenarios lacking labeled data for model fine-tuning, despite the significant advancements in genome foundation models. A prime example is metagenomics binning, a critical process in microbiome research that aims to group DNA sequences by their species from a complex mixture of DNA sequences derived from potentially thousands of distinct, often uncharacterized species. To fill the lack of effective DNA embedding models…