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ai.googleblog.com | ||
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deepmind.google
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| | | | | Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for... | |
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blog.evjang.com
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| | | | | There is a subfield of robotics research called "sim-to-real" (sim2real) whereby one attempts to solve a robotic task in simulation, and the... | |
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blog.google
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| | | | | Google DeepMind introduces a new vision-language-action model for improving robotics. | |
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iclr-blogposts.github.io
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| | | Diffusion Models, a new generative model family, have taken the world by storm after the seminal paper by Ho et al. [2020]. While diffusion models are often described as a probabilistic Markov Chains, their underlying principle is based on the decade-old theory of Stochastic Differential Equations (SDE), as found out later by Song et al. [2021]. In this article, we will go back and revisit the 'fundamental ingredients' behind the SDE formulation and show how the idea can be 'shaped' to get to the modern form of Score-based Diffusion Models. We'll start from the very definition of the 'score', how it was used in the context of generative modeling, how we achieve the necessary theoretical guarantees and how the critical design choices were made to finally arri... | ||
