Publication

Creative Text-to-Audio Generation via Synthesizer Programming

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

Publication

Federated Conformal Predictors for Distributed Uncertainty Quantification

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)

Publication

Conformal Prediction with Large Language Models for Multi-Choice Question Answering

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.

Publication

A conformable sensory face mask for decoding biological and environmental signals

Kim, J., Marcus, C., Ono, R., Sadat, D., Mirzazadeh, A., Jens, M., Fernandez S. V., Zheng, S., Durak, T., Dagdeviren, C.†, “Conformable Multimodal Sensory Facemask for Decoding Biological and Environmental Signals”, Nature Electronics, 5, 794–807, 2022. [Cover Image]

Publication

FathomNet: A global image database for enabling artificial intelligence in the ocean

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

Publication

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 286-295

Publication

Robotic Grasping of Fully-Occluded Objects using RF Perception

Boroushaki, Tara, et al. "Robotic Grasping of Fully-Occluded Objects using RF Perception." IEEE International Conference on Robotics and Automation (ICRA 2021).

Publication

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Xiao Zeng, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram and Salman Avestimehr. "FedML: A Research Library and Benchmark for Federated Machine Learning." NeurIPS-SpicyFL 2020. (Baidu Best Paper Award)

Publication

Personalized Modeling of Real-World Vocalizations from Nonverbal Individuals

Narain, J.*, Johnson, K.T.*, Ferguson, C., O’Brien, A., Talkar, T., Zhang, Y., Wofford, P., Quatieri, T., Picard, R.W.,Maes, P., "Personalized Modeling of Real-World Vocalizations from Nonverbal Individuals," Proceedings of the International Conference on Multimodal Interaction (ICMI), Utrecht, Netherlands, October 2020. (*Co-first authors/Equal contribution)

Publication

Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia

@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} }

Publication

Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles

@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} }

Publication

Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity

@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} }

Publication

Splintering with distributions: A stochastic decoy scheme for private computation

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

Publication

Prediction and Analysis of Degree of Suicidal Ideation in Online Content

Jones, Noah. Prediction and Analysis of Degree of Suicidal Ideation in Online Content. 2020. MIT, SM Thesis.

Publication

Forecasting Mental Distress using Healthcare Claims Data

Taylor, Sara. Forecasting Mental Distress using Healthcare Claims Data. 2020. MIT, PhD dissertation.

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Towards Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being

Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.

Publication

Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data

Narain, J.*, Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*Co-first authors/Equal contribution)

Publication

Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias

Ghandeharioun, A., Eoff, B., Jou, B., & Picard, R. W. (2019). Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. arXiv preprint arXiv:1909.09285.

Publication

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.

Publication

Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738

Publication

What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019

Publication

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner

Publication

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)

Publication

Machine behaviour

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.

Publication

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

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

Publication

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097

Publication

Active Fairness in Algorithmic Decision Making

Noriega-Campero, A., Bakker, M., Garcia-Bulle, B., & Pentland, A. (2018). Active Fairness in Algorithmic Decision Making. arXiv preprint arXiv:1810.00031.

Publication

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Rudovic, O., Utsumi, Y., Lee, J., Hernandez, J., Castello Ferrer, E., Schuller, B., Picard, R. "CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).

Publication

A Mixture of Personalized Experts for Human Affect Estimation

Feffer, M., Rudovic, O., Picard, R. "A Mixture of Personalized Experts for Human Affect Estimation." The 14th International Conference on Machine Learning and Data Mining (MLDM). July 2018.

Publication

Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.

Publication

Learning via social awareness: improving sketch representations with facial feedback

Jaques, N., Engel, J., Ha, D., Bertsch, F., Picard, R., and Eck, D. "Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, Vancouver, Canada, April 2018.

Publication

RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction

Eduardo Castello Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland, “RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction” eTELEMED 2018.

Publication

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally. WINNER: BEST OF COLLECTION

Publication

Automated segmentation of gingival diseases from oral images

A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE (2017). DOI: 10.1109/HIC.2017.8227605

Publication

Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction

Jaques, N., Taylor, S., Sano, A., and Picard, R. International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017

Publication

Convolutional neural network for combined classification of fluorescent biomarkers and expert annotations using white light images

G. Yauney, K. Angelino, D. A. Edlund, P. Shah. IEEE 17th International Conference on Bioinformatics and Bioengineering (2017). DOI: 10.1109/BIBE.2017.00-37

Publication

A Voting-Based System for Ethical Decision Making

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%)

Publication

CityMatrix: An Urban Decision Support System Augmented by Artificial Intelligence

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

Publication

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation

Jaques, N., Rudovic, O., Taylor, S., Sano, A., and Picard, R. Proceedings of Machine Learning Research, 48, 17-33. August 2017.

Publication

Calibration Invariant Imaging with Deep Learning

Guy Satat, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, and Ramesh Raskar, "Object classification through scattering media with deep learning on time resolved measurement," Opt. Express 25, 17466-17479 (2017)

Publication

Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., Klerman, E., and Picard, R. "Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students," Sleep2017, June 2017.

Publication

A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions

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

Publication

Tuning Recurrent Neural Networks with Reinforcement Learning

Jaquesn, N., Gu, S., Turner, R., and Eck, D. International Conference on Learning Representations (ICLR) workshop, Toulon, France, April 2017

Publication

Algorithmically Supported Moderation in Children’s Online Communities

Tan, Flora. Algorithmically Supported Moderation in Children’s Online Communities. Thesis. Massachusetts Institute of Technology, 2017.

Publication

Multi-task Learning for Predicting Health, Stress, and Happiness

Jaques, N., Taylor, S., Nosakhare, E., Sano, A., Picard, R. In Proc. NIPS Workshop on ML in Health, Barcelona, Spain, December 2016. **BEST PAPER AWARD**

Publication

Computationally Modeling Interpersonal Trust

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

Publication

Modeling the Dynamics of Nonverbal Behavior on Interpersonal Trust for Human-Robot Interactions

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