Kajale, S.N., Nguyen, T., Chao, C.A. et al. Current-induced switching of a van der Waals ferromagnet at room temperature. Nat Commun 15, 1485 (2024). https://doi.org/10.1038/s41467-024-45586-4

Groh, M., Badri, O., Daneshjou, R. et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat Med (2024). https://doi.org/10.1038/s41591-023-02728-3

Singh*, N., Cherep*, M., & Shand, J. (2023, December). Creative Text-to-Audio Generation via Synthesizer Programming. In NeurIPS Machine Learning for Audio Workshop

B. Zhang, W. V. Chen, G. Regalia, D. M. Goldenholz, and R. W. Picard, “Sleep deficiency is associated with higher next-day generalized tonic-clonic seizure risk”, in American Epilepsy Society 2023 Annual Meeting, 2023.

Friend, Stephen H., Geoffrey S. Ginsburg, and Rosalind W. Picard. "Wearable Digital Health Technology." New England Journal of Medicine 389.22 (2023): 2100-2101.

Pataranutaporn, P., Liu, R., Finn, E. et al. Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nat Mach Intell (2023). https://doi.org/10.1038/s42256-023-00720-7

Lu, C.*, Yu, Y.*, Karimireddy, S. P., Jordan, M. I., & Raskar, R. (2023). Federated Conformal Predictors for Distributed Uncertainty Quantification. Fortieth International Conference on Machine Learning (ICML 2023)

Kumar, B.*, Lu, C.*, Gupta, G., Palepu, A., Bellamy, D., Raskar, R., & Beam, A. "Conformal Prediction with Large Language Models for Multi-Choice Question Answering." Neural Conversational AI Workshop at ICML 2023.

Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.

Contrastive Learning of Electrodermal Activity Representations for Stress Detection; Matton, K*, Lewis, R*, Guttag, J, Picard, R.W. Conference on Health, Inference, and Learning (CHIL) 2023. *Equal contribution

P. Pataranutaporn* J. Leong*, V. Danry*, A. Lawson, P. Maes, M. Sra. 2022. *Co-first authorship ”AI-Generated Virtual Instructors Based on Liked or Admired People Can Improve Motivation and Foster Positive Emotions for Learning” to appear in FIE 2022, October 8-11, Uppsala, Sweden.

Groh, Matthew, Aruna Sankaranarayanan, Andrew Lippman, and Rosalind Picard. "Human detection of political deepfakes across transcripts, audio, and video." arXiv preprint arXiv:2202.12883 (2022).

Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.

Katija, K., Orenstein, E., Schlining, B. et al. FathomNet: A global image database for enabling artificial intelligence in the ocean. Sci Rep 12, 15914 (2022). https://doi.org/10.1038/s41598-022-19939-2

Groh, Matthew. "Identifying the Context Shift between Test Benchmarks and Production Data." arXiv preprint arXiv:2207.01059 (2022).

Williams, R., Ali, S., Devasia, N. et al. AI + Ethics Curricula for Middle School Youth: Lessons Learned from Three Project-Based Curricula. Int J Artif Intell Educ (2022). https://doi.org/10.1007/s40593-022-00298-y

Rico Medina, Andres. “Socio-Environmental Sensor Networks for Community Sensing.” Massachusetts Institute of Technology, MIT, 2022.

Pataranutaporn, P., Danry, V., Leong, J. et al. AI-generated characters for supporting personalized learning and well-being. Nat Mach Intell (2021). https://doi.org/10.1038/s42256-021-00417-9

Tara Boroushaki, Isaac Perper, Mergen Nachin, Alberto Rodriguez, Fadel Adib. "RFusion: Robotic Grasping via RF-Visual Sensing and Learning." ACM Conference on Embedded Networked Sensor Systems 2021.

Jiang, Hang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, and Alexander Gray. "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking." ACL (2021).

Weis, J.W., Jacobson, J.M. Learning on knowledge graph dynamics provides an early warning of impactful research. Nat Biotechnol (2021). https://doi.org/10.1038/s41587-021-00907-6

Pataranutaporn, Pat, Valdemar Danry, and Pattie Maes. "Machinoia, Machine of Multiple Me: Integrating with Past, Future and Alternative Selves." Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.

Akram Bayat, Connor Anderson and Pratik Shah. "Automated end-to-end deep learning framework for classification and tumor localization from native nonstained pathology images," Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115960A (15 February 2021); doi: 10.1117/12.2582303

Leong, Joanne. Investigating the Use of Synthetic Media and Real-Time Virtual Camera Filters for Supporting Communication and Creativity. 2021. Massachusetts Institute of Technology, MS Thesis.

Pedrelli, P., Fedor, S., Ghandeharioun, A., Howe, E., Ionescu, D. F., Bhathena, D., ... & Picard, R. W. (2020). Monitoring changes in depression severity using wearable and mobile sensors. Frontiers in psychiatry, 11, 1413.

@misc{sarawgi2020uncertaintyaware, title={Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2010.01440}, archivePrefix={arXiv}, primaryClass={cs.LG} }

@misc{sarawgi2020unified, title={Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2009.12406}, archivePrefix={arXiv}, primaryClass={cs.LG} }

@article{sarawgi2020multimodal, title={Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity}, author={Sarawgi, Utkarsh and Zulfikar, Wazeer and Soliman, Nouran and Maes, Pattie}, journal={arXiv preprint arXiv:2009.00700}, year={2020} }

Tejwani, Ravi. Migratable AI. MS Thesis, Massachusetts Institute of Technology, 2020.

Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.

Bernal, Guillermo, Lily Zhou, Haripriya Mehta, and Pattie Maes. NeurIPS Workshop on Machine Learning for Creativity and Design, December 14, 2019.

Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, et al. “Machine Behaviour.” Nature 568, no. 7753 (April 2019): 477. https://doi.org/10.1038/s41586-019-1138-y.

Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. “Toward Understanding the Impact of Artificial Intelligence on Labor.” Proceedings of the National Academy of Sciences, March 25, 2019, 201900949. https://doi.org/10.1073/pnas.1900949116.

Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133

Jacob W. Crandall, Mayada Oudah, Tennom, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrian, Azim Shariff, Michael A. Goodrich , Iyad Rahwan . Nature Communications, 2018.

Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia AAAI 2018: Association for the Advancement of Artificial Intelligence (Acceptance rate of 24.6%)

Zhang, Yan. “CityMatrix – An Urban Decision Support System Augmented by Artificial Intelligence.” Massachusetts Institute of Technology, 2017.

Jin Joo Lee. A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions. PhD Thesis, Massachusetts Institute of Technology, 2017.

Awad, Edmond (2017). Moral Machine: Perception of Moral Judgment Made by Machines (Master's Thesis).

Hae Won Park, Rinat Rosenberg-Kima, Maor Rosenberg, Goren Gordon, and Cynthia Breazeal. 2017. Growing Growth Mindset with a Social Robot Peer. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (HRI '17). ACM, New York

JJ Lee, WB Knox, JB Wormwood, C Breazeal, D DeSteno (2013). Computationally Modeling Interpersonal Trust. Frontiers in Psychology.

Graeff, E. 2013. ‘What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future.’ Presented at Media in Transition 8: Public Media, Private Media, MIT, Cambridge, May 5.

Jin Joo Lee. Modeling the Dynamics of Nonverbal Behavior on Interpersonal Trust for Human-Robot Interactions. Masters Thesis, Massachusetts Institute of Technology, 2011.