RT @docmilanfar: For better consistency and fewer artifacts in im2im diffusion models, consider Kernel Density Steering (KDS): It is infere….

RT @YuyangHu_666: Excited to announce my work during @GoogleAI internship is now on arXiv! . Grateful for my incredible hosts and collabor….

+1000 this 👇🏼👇🏼.

RT @Khipu_AI: ⚠️ Deadline Extension for KHIPUx!.🗓️New deadline: July 14.📎 +info at:

RT @2ptmvd: 📢 We're hiring Research Scientists at @Google ! Join our team to develop cutting-edge generative models for imaging & computati….

I really enjoyed collaborating with @docmilanfar on this paper about denoisers! 🚀 Writing it helped a lot to deepen my understanding and distill my knowledge/intuition. For anyone new to the power of image denoisers, I think this is a great intro (though I might be biased!) 👇.

📢 We're hiring Research Scientists at @Google ! Join our team to develop cutting-edge generative models for imaging & computational photography, impacting millions of users. Apply now! +info:

RT @giannis_daras: Announcing Ambient Diffusion Omni — a framework that uses synthetic, low-quality, and out-of-distribution data to improv….

Maybe the limit can be pushed a little bit down. like 25 --> 10?

RT @Khipu_AI: KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to an….

RT @Khipu_AI: KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to an….

South America > Europe.

RT @shannonlada: "Soy inmigrante. Mis padres son refugiados de Chile. Huimos de una dictadura y tuve el privilegio de crecer en Estados Uni….

👀 notes by @gabrielpeyre.

RT @abeirami: If you submitted to ICML and TMLR as an author, where did you get higher review quality (grounded, fair, and helped improve y….

RT @abeirami: TMLR's bar is not lower. The car is drawn differently to remove subjectivity from the acceptance criteria. I have read many….

RT @YuyangHu_666: Happy to announce that our work, ShaRP, has been accepted to #ICML2025! 🎉 Huge thanks to my collaborators @ukmlv @2ptmvd….

RT @ukmlv: 📄 “Stochastic Deep Restoration Priors for Imaging Inverse Problems” was accepted to ICML 2025 (@icmlconf)!. Joint work with @Yuy….

Nice work presenting @KangfuM !.

Very cool post (with lots of intuition) about the reasoning about learning a diffusion model in latent space. Representation learning and Reconstruction are two different tasks.