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Blanchard, Lancelot*, Perry Naseck*, Eran Egozy, and Joseph A. Paradiso. 2024. “Developing Symbiotic Virtuosity: AI-Augmented Musical Instruments and Their Use in Live Music Performances.” An MIT Exploration of Generative AI, September. https://doi.org/10.21428/e4baedd9.69c11de7.
Chan, S. W. T., Liu, A. R., Ostrowski, A. K., Vaidya, M., Brady, S., Yoquinto, L., D’Ambrosio, L., Zulfikar, W., Maniar, N., Patskanick, T., Leong, J., Kosmyna, N., Coughlin, J., & Maes, P. (2024). Co-designing Generative AI Technologies with Older Adults to Support Daily Tasks. An MIT Exploration of Generative AI. https://doi.org/10.21428/e4baedd9.4f2a95fc
Groh, M., Sankaranarayanan, A., Singh, N. et al. Human detection of political speech deepfakes across transcripts, audio, and video. Nat Commun 15, 7629 (2024). https://doi.org/10.1038/s41467-024-51998-z
Longpre, S., Mahari, R., Chen, A. et al. A large-scale audit of dataset licensing and attribution in AI. Nat Mach Intell 6, 975–987 (2024). https://doi.org/10.1038/s42256-024-00878-8
Chan, S., Pataranutaporn, P., Suri, A., Zulfikar, W., Maes, P., & Loftus, E. F. (2024). Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews. arXiv preprint arXiv:2408.04681.
Cherep*, M., Singh*, N., & Shand, J. (2024, July). Creative Text-to-Audio Generation via Synthesizer Programming. International Conference on Machine Learning (ICML)
Klinghoffer, Tzofi, et al. "PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar." IEEE Conference on Computer Vision and Pattern Recognition (2024).
Wazeer Deen Zulfikar, Samantha Chan, and Pattie Maes. 2024. Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 450, 1–18. https://doi.org/10.1145/3613904.3642450
Joanne Leong, Pat Pataranutaporn, Valdemar Danry, Florian Perteneder, Yaoli Mao, and Pattie Maes. 2024. Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In CHI'24. May 11-16, 2024, Honolulu, HI, USA. ACM, New York NY, USA, 15 pages. https://doi.org/10.1145/3544548.3581039
Artificial Intelligence (cs.AI), arXiv:2403.04893 [cs.AI] (or arXiv:2403.04893v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2403.04893 | Shayne Longpre* 1 Sayash Kapoor** 2 Kevin Klyman** 3 Ashwin Ramaswami 4 Rishi Bommasani 3 Borhane Blili-Hamelin 5 Yangsibo Huang 2 Aviya Skowron 6 Zheng-Xin Yong 7 Suhas Kotha 8 Yi Zeng 9 Weiyan Shi 10 Xianjun Yang 11 Reid Southen Alexander Robey
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.
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.