default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthew Groh
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
2020 – today
- 2026
[i27]Fabian Gröger, Simone Lionetti
, Philippe Gottfrois, Álvaro González-Jiménez, Lea Habermacher, Labelling Consortium, Ludovic Amruthalingam, Matthew Groh, Marc Pouly, Alexander A. Navarini:
A Global Atlas of Digital Dermatology to Map Innovation and Disparities. CoRR abs/2601.00840 (2026)- [i26]Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh:
Practicing with Language Models Cultivates Human Empathic Communication. CoRR abs/2603.15245 (2026) - [i25]Negar Kamali, Candice Rockell Gerstner, Jessica Hullman, Matthew Groh:
Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images. CoRR abs/2606.28510 (2026) - 2025
- [c8]Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh:
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CHI 2025: 794:1-794:26 - [c7]Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein:
Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations. CHI 2025: 933:1-933:31 - [i24]Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh:
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CoRR abs/2502.11989 (2025) - [i23]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Elisabeth Victoria Goessinger, Hanna Lindemann, Marie Bargiela, Marie Hofbauer, Omar Badri, Philipp Tschandl, Arash Koochek, Matthew Groh, Alexander A. Navarini, Marc Pouly:
CleanPatrick: A Benchmark for Image Data Cleaning. CoRR abs/2505.11034 (2025) - [i22]Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Erina Farrell, Bruce Lambert, Matthew Groh:
When Large Language Models are Reliable for Judging Empathic Communication. CoRR abs/2506.10150 (2025) - [i21]Xuhai Xu, Haoyu Hu, Haoran Zhang, Will Ke Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Lotanna Nwandu, Apoorva Mehta, Erik P. Duhaime, Asif Qasim, Hause Lin, Janis Pereira, Jonathan Hershon, Paulius Mui, Alejandro A. Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi:
Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public. CoRR abs/2512.12500 (2025) - 2024
- [j4]Meike Ramon, Matthew J. Vowels, Matthew Groh:
Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. 22(3): 68-76 (2024) - [c6]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Matthew Groh, Alexander A. Navarini, Marc Pouly:
Intrinsic Self-Supervision for Data Quality Audits. NeurIPS 2024 - [i20]Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh:
How to Distinguish AI-Generated Images from Authentic Photographs. CoRR abs/2406.08651 (2024) - [i19]Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes:
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. CoRR abs/2408.00024 (2024) - 2023
- [c5]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. ML4H@NeurIPS 2023: 101-128 - [i18]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly:
SelfClean: A Self-Supervised Data Cleaning Strategy. CoRR abs/2305.17048 (2023) - [i17]Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky:
Art and the science of generative AI: A deeper dive. CoRR abs/2306.04141 (2023) - [i16]Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai:
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR abs/2308.12453 (2023) - [i15]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. CoRR abs/2309.06961 (2023) - 2022
- [j3]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-26 (2022) - [c4]Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard:
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. ACII 2022: 1-8 - [i14]Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard:
Human Detection of Political Deepfakes across Transcripts, Audio, and Video. CoRR abs/2202.12883 (2022) - [i13]Matthew Groh:
Identifying the Context Shift between Test Benchmarks and Production Data. CoRR abs/2207.01059 (2022) - [i12]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. CoRR abs/2207.02942 (2022) - [i11]Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard:
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. CoRR abs/2208.07178 (2022) - [i10]Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes:
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making. CoRR abs/2210.08960 (2022) - [i9]Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai:
Improving dermatology classifiers across populations using images generated by large diffusion models. CoRR abs/2211.13352 (2022) - 2021
- [j2]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine-manipulated media. Commun. ACM 64(10): 40-47 (2021) - [j1]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland:
Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 409:1-409:18 (2021) - [c3]Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. CVPR Workshops 2021: 1820-1828 - [c2]Robert Lewis, Yuanbo Liu, Matthew Groh, Rosalind W. Picard:
Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits. HCI (39) 2021: 348-356 - [i8]Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. CoRR abs/2104.09957 (2021) - [i7]Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard:
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR abs/2105.06496 (2021) - [i6]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland:
Social influence leads to the formation of diverse local trends. CoRR abs/2108.07437 (2021) - 2020
- [i5]Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh:
Interpolating GANs to Scaffold Autotelic Creativity. CoRR abs/2007.11119 (2020)
2010 – 2019
- 2019
- [i4]Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Towards a new social laboratory: An experimental study of search through community participation at Burning Man. CoRR abs/1903.04125 (2019) - [i3]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine manipulated media. CoRR abs/1907.05276 (2019) - 2018
- [c1]Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI 2018: 5826-5828 - [i2]Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Closing the AI Knowledge Gap. CoRR abs/1803.07233 (2018) - [i1]Shayne O'Brien, Matthew Groh, Abhimanyu Dubey:
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR abs/1812.10782 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-07-11 01:48 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
