Sascha Kirch

🐍 Towards Mamba State Space Models for Images, Videos and Time Series Part 3 — Towards Mamba State Space Models for Images, Videos and Time Series Sascha Kirch · Follow Published in Towards Data Science · 17 min read · 7 hours ago — Image by Sascha Kirch. This is part 3 of my new multi-part series 🐍 Towards Mamba State Space Models for Images, Videos and Time Series. Mamba, the model to be said

🐍 Towards Mamba State Space Models for Images, Videos and Time Series Part 1 Sascha Kirch · Follow Published in Towards Data Science · 16 min read · 8 hours ago — Image by Sascha Kirch This is part 1 of my new multi-part series 🐍 Towards Mamba State Space Models for Images, Videos and Time Series. Is Mamba all you need? Certainly, people have thought that for a long time of the Transformer architecture

Paper Walkthrough: Denoising Diffusion Probabilistic Models Sascha Kirch · Follow Published in Towards Data Science · 13 min read · 10 hours ago — This walkthrough is about a paper that kicked off a new era of generative deep learning in computer vision and many other fields subsequently: the era of diffusion models. It’s titled “Denoising Diffusion Probabilistic Models” and it introduces a new framework known as DDPM, the abbreviation of the paper’s title. While

Paper Walkthrough — Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Sascha Kirch · Follow Published in Towards Data Science · 11 min read · 12 hours ago — Monocular depth estimation, the prediction of distance in 3D space from a 2D image. The “ill posed and inherently ambiguous problem”, as stated in literally every paper on depth estimation, is a fundamental problem in computer vision and robotics. At the same time foundation models