Jaan Altosaar
Graduate Student, Department of Physics, Princeton University
Mar 10, 2017
3:00 pm
Mar 10, 2017
3:00 pm
In-person
4 Thomas More St
London E1W 1YW, UK
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Portland, ME 04101
Network Science Institute
2nd floor
2nd floor
Network Science Institute
11th floor
11th floor
177 Huntington Ave
Boston, MA 02115
Boston, MA 02115
Network Science Institute
2nd floor
2nd floor
Room
58 St Katharine's Way
London E1W 1LP, UK
London E1W 1LP, UK
Talk recording
Embedding models are used in production for Google Search, in the Discover Weekly recommendation system at Spotify, and for learning representations of biological systems like genes and proteins. In this work, we develop an embedding model for foods based on patterns in a large recipe dataset. A recommendation system for food is built based on the embedding model, and we show that our model learns concepts such as which foods are complementary or which foods can be substituted for each other in recipes. The code and data are open source and readily extendable to new kinds of data.
About the speaker
Jaan is a graduate student advised by David Blei at Columbia and Shivaji Sondhi at Princeton, supported by an NSERC fellowship from Canada. His research focuses on using embedding models to study diverse data such as equations, music, and food. He has also helped develop new techniques for inference that use operators such as the Schrödinger Hamiltonian to do variational inference. His website is jaan.io.
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