[IDA ML Seminar] Machine Learning Seminar, 15/5 at 15:15: Yingzhen Li, "Towards Causal Deep Generative Models for Sequential Data"

[Fredrik Lindsten]

Welcome to an IDA Machine Learning Seminar on Wednesday, May 15 at 15:15 in Alan Turing

Towards Causal Deep Generative Models for Sequential Data
Yingzhen Li<http://yingzhenli.net/home/en/>, Department of Computing, Imperial College London

Abstract: One of my research dreams is to build a high-resolution video generation model that enables granularity controls in e.g., the scene appearance and the interactions between objects. I tried, and then realised the need of me inventing deep learning tricks for this goal is due to the issue of non-identifiability in my sequential deep generative models. In this talk I will discuss our research towards developing identifiable deep generative models in sequence modelling, and share some recent and on-going works regarding switching dynamic models. Throughout the talk I will highlight the balance between causality "Theorist" and deep learning "Alchemist", and discuss my opinions on the future of causal deep generative modelling research.

Location: Alan Turing, https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan

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