InnoVAE: Generative AI for Understanding Patents and Innovation

Dokyun Lee, Boston University

27.07.2023

5:00 pm - 6:30 pm

LMU Munich, Institute of AI in Management via zoom

The presentation demonstrates how ‘InnoVAE,’ a generative model, guides managerial decisions with unstructured data. Converting patent text into an interpretable ‘Innovation Space,’ it excels in explaining innovation outcomes on computing system patents, surpassing structured variables.

#lecture

Subscribe to RSS Events feed

Colloquium • 06.05.2026 • LMU Munich, Department of Statistics and via zoom

Data Thinning and Beyond

06.05.26, 4:15-5:45 pm: Daniela Witten from the University of Washington

Lecture • 12.06.2026 • LMU Munich, CAS, Seestr. 13, Munich

Analyzing Feature Interactions Through Local Effects in Machine Learning Models

As part of the CAS Research Focus, Giuseppe Casalicchio talks about interpretable machine learning that develops methods.

InnoVAE: Generative AI for Understanding Patents and Innovation

Dokyun Lee, Boston University

Related