ELLIS Delft Talk by Justin Dauwels

Title: Object-centric Generative AI

Abstract:

Generative AI refers to a category of artificial intelligence models that are designed to generate new content, such as text, images, audio, or other types of data. Probably the best known example of generative AI is ChatGPT, the fastest consumer application to hit 100 million monthly active users. Generative AI models use machine learning algorithms to learn patterns and structures from existing data and then produce new data that is similar in style or content to what they have been trained on.

In this presentation, I will start with a tutorial on various approaches to generative AI. Next I will talk about projects in our group at the TU Delft on deep generative models, in particular, object-centric generative models. I will briefly present novel kinds of deep generative models that we are developing in our team. Next I will explain how we are designing such models for rainfall nowcasting, where we integrate physical laws into the deep generative models.  At last, I will talk various AI related initiatives that our team is involved in.

This meeting is open for all interested researchers, and we particularly want to emphasize that we very much welcome all the PhD students and postdocs that are associated with the unit! If you have ideas about ways to make these talks more engaging for you, please let us know your suggestions.

This will be a hybrid meeting, but we really hope many will join physically!

Physical:  

Building 28
Van Mourik Broekmanweg 6
Room 2.W510 Hilbert

Zoom:

https://tudelft.zoom.us/j/93958722644?pwd=WnQ5ZFZvZGlNRnRidndIVlhBTUsvdz09
Meeting ID: 939 5872 2644
Passcode: 296739