[IDA ML Seminar] IDA Machine Learning Seminar by Emanuele Guidotti, March 22

[Fredrik Lindsten]

Welcome to an IDA Machine Learning Seminar on Wednesday, March 22 at 15:15 in BL32 Nobel (note the place!)

This seminar is co-organized with the YUIMA stochastic differential equations course. Coffee and cake will be served outside the lecture room from 14:45 and we invite seminar attendees to join us for this as well!


Text Classification with Born's Rule
Emanuele Guidotti<https://eguidotti.com/>, Institute of Financial Analysis, University of Neuchâtel

Abstract: This paper presents a text classification algorithm inspired by the notion of superposition of states in quantum physics. By regarding text as a superposition of words, we derive the wave function of a document and we compute the transition probability of the document to a target class according to Born's rule. Two complementary implementations are presented. In the first one, wave functions are calculated explicitly. The second implementation embeds the classifier in a neural network architecture. Through analysis of three benchmark datasets, we illustrate several aspects of the proposed method, such as classification performance, explainability, and computational efficiency. These ideas are also applicable to non-textual data.

Based on the NeurIPS 2022 paper by Emanuele Guidotti and Alfio Ferrara
https://openreview.net/forum?id=sNcn-E3uPHA

Location: BL32 Nobel, B building - see https://liu.se/polopoly/basfakta/kartor/kartorli/B2.pdf
Organizers: Fredrik Lindsten, Sourabh Balgi


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Welcome!
IDA Machine Learning Group
Linköping University


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