Groh, Matthew, Ziv Epstein, Chaz Firestone, Rosalind Picard. “Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing." arXiv preprint arXiv:2105.06496 (2021). pdf

Groh, Matthew, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, and Omar Badri. “Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021) pdf

Robert, Lewis, Yuanbo Liu, Matt Groh, Rosalind Picard. “Shaping Habit Formation Insights with Shapley Values: Toward an Explainable AI-system for Self-understanding and Health Behavior Change." Proceedings of CHI: Realizing AI in Healthcare: Challenges Appearing in the Wild Workshop (2021). pdf


Epstein, Ziv, OcĂ©ane Boulais, Skylar Gordon, and Matthew Groh. “Interpolating GANs to scaffold autotelic creativity." Joint Proceedings of the ICCC 2020 Workshops (2020). pdf

Bakker, Michiel, Alex Berke, Matt Groh, Alex ‘Sandy’ Pentland, and Esteban Moro. “Effect of social distancing measures in the New York City metropolitan area." Boston: Massachusetts Institute of Technology (2020). pdf


Groh, Matthew, Ziv Epstein, Nick Obradovich, Manuel Cebrian, and Iyad Rahwan. “Human detection of machine manipulated media." arXiv preprint arXiv:1907.05276 (2019). pdf

Frank, Morgan, David Autor, James Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, Matthew Groh, Jose Lobo, Esteban Moro, Dashun Wang, Hyejin Youn, and Iyad Rahwan “Toward understanding the impact of artificial intelligence on labor." Proceedings of the National Academy of Sciences 116, no. 14 (2019): 6531-6539. pdf


O’Brien, Shayne, Matthew Groh, and Abhimanyu Dubey. “Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions." NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning (2018). pdf

Epstein, Ziv, Blakeley Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrian, and Iyad Rahwan. “Closing the AI knowledge gap." arXiv preprint arXiv:1803.07233 (2018). pdf


Groh, Matthew, Nandini Krishnan, David McKenzie, and Tara Vishwanath. “The impact of soft skills training on female youth employment: evidence from a randomized experiment in Jordan." IZA Journal of Labor & Development 5, no. 1 (2016): 1-23. pdf

Groh, Matthew, Nandini Krishnan, David McKenzie, and Tara Vishwanath. “Do wage subsidies provide a stepping-stone to employment for recent college graduates? Evidence from a randomized experiment in Jordan." Review of Economics and Statistics 98, no. 3 (2016): 488-502. pdf

Groh, Matthew, and David McKenzie. “Macroinsurance for microenterprises: A randomized experiment in post-revolution Egypt." Journal of Development Economics 118 (2016): 13-25. pdf


Groh, Matthew, David McKenzie, Nour Shammout, and Tara Vishwanath. “Testing the importance of search frictions and matching through a randomized experiment in Jordan." IZA Journal of Labor Economics 4, no. 1 (2015): 1-20. pdf


Groh, Matthew, David McKenzie, and Tara Vishwanath. “Reducing information asymmetries in the youth labor market of Jordan with psychometrics and skill based tests." The World Bank Economic Review 29, no. suppl_1 (2015): S106-S117. pdf


Groh, Matthew, Nandini Krishnan, David McKenzie, and Tara Vishwanath. “Soft skills or hard cash? The impact of training and wage subsidy programs on female youth employment in Jordan." The World Bank, 2012. pdf

Groh, Matthew, and Casey Rothschild. “Oil, Islam, women, and geography: A comment on Ross (2008)." Quarterly Journal of Political Science 7, no. 1 (2012): 69-87. pdf

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