Matthew Groh - RankMe

38 papers A* 4B 1Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Global Atlas of Digital Dermatology to Map Innovation and Disparities. CoRR Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Lea Habermacher, Labelling Consortium, Ludovic Amruthalingam, Matthew Groh, Marc Pouly, Alexander A. Navarini
2026	J	`jnl`	Practicing with Language Models Cultivates Human Empathic Communication. CoRR Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh
2025	A*	`conf`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CHI Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CoRR Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	CleanPatrick: A Benchmark for Image Data Cleaning. CoRR 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
2025	A*	`conf`	Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations. CHI Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein
2025	J	`jnl`	Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public. CoRR 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
2025	J	`jnl`	When Large Language Models are Reliable for Judging Empathic Communication. CoRR Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Erina Farrell, Bruce Lambert, Matthew Groh
2024	J	`jnl`	Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. CoRR Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes
2024	J	`jnl`	Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. Meike Ramon, Matthew J. Vowels, Matthew Groh
2024	J	`jnl`	How to Distinguish AI-Generated Images from Authentic Photographs. CoRR Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2024	A*	`conf`	Intrinsic Self-Supervision for Data Quality Audits. NeurIPS Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Matthew Groh, Alexander A. Navarini, Marc Pouly
2023	J	`jnl`	Art and the science of generative AI: A deeper dive. CoRR 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
2023	J	`jnl`	Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
2023	J	`jnl`	SelfClean: A Self-Supervised Data Cleaning Strategy. CoRR Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly
2023	—	`conf`	Towards Reliable Dermatology Evaluation Benchmarks. ML4H@NeurIPS Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly
2023	J	`jnl`	Towards Reliable Dermatology Evaluation Benchmarks. CoRR Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly
2022	B	`conf`	Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. ACII Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard
2022	J	`jnl`	Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. CoRR Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard
2022	J	`jnl`	Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making. CoRR Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes
2022	J	`jnl`	Human Detection of Political Deepfakes across Transcripts, Audio, and Video. CoRR Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard
2022	J	`jnl`	Identifying the Context Shift between Test Benchmarks and Production Data. CoRR Matthew Groh
2022	J	`jnl`	Improving dermatology classifiers across populations using images generated by large diffusion models. CoRR Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
2022	J	`jnl`	Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. CoRR Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek
2022	J	`jnl`	Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proc. ACM Hum. Comput. Interact. Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek
2021	J	`jnl`	Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard
2021	—	`conf`	Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. CVPR Workshops Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
2021	J	`jnl`	Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. CoRR Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
2021	—	`conf`	Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits. HCI (39) Robert Lewis, Yuanbo Liu, Matthew Groh, Rosalind W. Picard
2021	J	`jnl`	Human detection of machine-manipulated media. Commun. ACM Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2021	J	`jnl`	Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland
2021	J	`jnl`	Social influence leads to the formation of diverse local trends. CoRR Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland
2020	J	`jnl`	Interpolating GANs to Scaffold Autotelic Creativity. CoRR Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh
2019	J	`jnl`	Human detection of machine manipulated media. CoRR Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2019	J	`jnl`	Towards a new social laboratory: An experimental study of search through community participation at Burning Man. CoRR Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2018	J	`jnl`	Closing the AI Knowledge Gap. CoRR Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2018	J	`jnl`	Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR Shayne O'Brien, Matthew Groh, Abhimanyu Dubey
2018	A*	`conf`	TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan