Guy Lutsker
@GLutsker
PhD student at the Weizmann Institute of Science
In the Human Phenotype Project, home sleep apnea testing data was collected for a total of 16,812 nights in 6,410 individuals, allowing for a comprehensive study of the association of sleep traits with physiological features across 16 body systems. nature.com/articles/s4159…
Our lab at the Weizmann Institute was hit tonight by Iran We will rebuild and return 💪
Check out NVIDIA's blog post about our recent model, GluFormer
🍪 A new #generativeAI model can now help diabetics predict glucose levels, and help answer their question, “How will eating this affect my glucose levels?” Researchers from the Weizmann Institute of Science, and Tel Aviv-based startup Pheno AI worked with us to develop…
🚀 Excited to release the code and demo for ConsiStory, our #SIGGRAPH2024 paper! No fine-tuning needed — just fast, subject-consistent image generation! Check it out here 👇 Code: github.com/NVlabs/consist… Demo: build.nvidia.com/nvidia/consist…
Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page: huggingface.co/papers/2402.03… enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.
TL;DR - we improve text-to-image output quality by tuning an LLM to predict ComfyUI workflows tailored to each generation prompt Project page: comfygen-paper.github.io Paper: arxiv.org/abs/2410.01731 [1\4]
Excited to share our latest work! 🤩 Masked Mimic 🥷: Unified Physics-Based Character Control Through Masked Motion Inpainting Project page: research.nvidia.com/labs/par/maske… with: Yunrong (Kelly) Guo, @ofirnabati, @GalChechik and @xbpeng4. @SIGGRAPHAsia (ACM TOG). 1/ Read…
ICYMI: We discovered intriguing links between bacterial SNPs and host BMI 🦠🧬. Our findings (w/ @segal_eran) were published in @NatureMedicine last year (nature.com/articles/s4159…), and I'm excited to finally share them here >>
A new representation of human glucose profiles, based on a transformer architecture. It reveals surprisingly accurate predictions of health condition, even in new subjects, new conditions, new cohorts and new sensors.
Our new arXiv paper: We built a generative AI model of blood glucose levels from 10 million continuous glucose monitoring measurements of 11,000 people from the Human Phenotype Project We show that our model can predict clinical parameters such as liver-related parameters, blood…
Our new arXiv paper: We built a generative AI model of blood glucose levels from 10 million continuous glucose monitoring measurements of 11,000 people from the Human Phenotype Project We show that our model can predict clinical parameters such as liver-related parameters, blood…