Alex Burnap

Yale School of Management

165 Whitney Avenue

New Haven, CT 06511

United States

SCHOLARLY PAPERS

3

DOWNLOADS
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Top 42,206

in Total Papers Downloads

2,539

TOTAL CITATIONS
Rank 35,265

SSRN RANKINGS

Top 35,265

in Total Papers Citations

19

Scholarly Papers (3)

1.

Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach

Number of pages: 47 Posted: 19 Jul 2019 Last Revised: 03 Mar 2021
Alex Burnap, John R. Hauser and Artem Timoshenko
Yale School of Management, MIT Sloan School of Management and Kellogg School of Management, Northwestern University
Downloads 1,336 (32,285)
Citation 15

Abstract:

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Aesthetics, Generative Adversarial Networks, Generating New Products, Machine Learning, Prelaunch Forecasting, Product Development, Variational Autoencoders.

2.

Product Aesthetic Design: A Machine Learning Augmentation

MIT Sloan Research Paper No. 5814-19
Number of pages: 53 Posted: 20 Oct 2022 Last Revised: 15 Nov 2022
Alex Burnap, John R. Hauser and Artem Timoshenko
Yale School of Management, MIT Sloan School of Management and Kellogg School of Management, Northwestern University
Downloads 722 (76,187)

Abstract:

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Aesthetics, Generative Adversarial Networks, Generating New Products, Machine Learning, Prelaunch Forecasting, Product Development, Variational Autoencoders

3.

Soul and Machine (Learning)

NYU Stern School of Business
Number of pages: 17 Posted: 24 Sep 2019 Last Revised: 26 Aug 2020
Marshall School of Business - University of Southern California, MIT Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Harvard University - Business School (HBS), Yale School of Management, Duke University, Fuqua School of Business, Boston University - Questrom School of Business, Amazon, University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, Kellogg School of Management, Northwestern University, affiliation not provided to SSRN and University of Washington
Downloads 481 (126,881)
Citation 4

Abstract:

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Machine learning, marketing