The University of Massachusetts Amherst
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Benjamin Marlin

Associate Professor

My research interests lie at the intersection of artificial intelligence, machine learning and statistics. I am particularly interested in scalable approximate learning and inference in hierarchical probabilistic graphical models, as well as learning in the presence of complex forms of uncertainty and missing data.

Current Research
My current research has a particular emphasis on machine learning models and algorithms for multivariate time series data with applications to clinical and mobile health (mHealth) data.

Learn more at

Academic Background

  • PhD, University of Toronto
  • Postdoctoral Fellow, University of British Columbia
Shukla, Satya Narayan; Marlin, Benjamin. Interpolation-Prediction Networks for Irregularly Sampled Time Series Conference. Seventh International Conference on Learning Representations, Forthcoming. 2019.
Li, Steven Cheng-Xian; Jiang, Bo; Marlin, Benjamin. Learning from Incomplete Data with Generative Adversarial Networks Conference. Seventh International Conference on Learning Representations. 2019.
Adams, Roy; Marlin, Benjamin M. Learning Time Series Segmentation Models from Temporally Imprecise Labels Conference. Conference on Uncertainty in Artificial Intelligence. 2018.
Sadasivam, Rajani Shankar; Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K. Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century. Journal of Medical Internet Research, 18 , 2016.
Mayberry, Addison, Yamin Tun, Pan Hu, Duncan SmithFreedman, Deepak Ganesan, Benjamin Marlin, and Christopher Salthouse. "CIDER: Enabling RobustnessPower Tradeoffs on a Computational Eyeglass." 21st Annual International Conference on Mobile Computing and Networking. 2015.
Saleheen, Nazir, Amin Ali, Syed Monowar Hossain, Hillol Sarker, Soujanya Chatterjee, Benjamin Marlin, Emre Ertin, Mustafa al'Absi, and Santosh Kumar. "puffMarker : A Multi-Sensor Approach for Pinpointing the Timing of First Lapse in Smoking Cessation." 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2015.
Adams, Roy J., Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, and Benjamin M. Marlin. "PERSPeCT: Collaborative Filtering for Tailored Health Communications." Proceedings of the 8th ACM Conference on Recommender Systems. RecSys '14. New York, NY, USA: ACM, 2014. 329-332.
Natarajan, Annamalai, Edward Gaiser, Gustavo Angarita, Robert Malison, Deepak Ganesan, and Benjamin Marlin. "Conditional Random Fields for Morphological Analysis of Wireless ECG Signals." Proceedings of the 5th Annual conference on Bioinformatics, Computational Biology and Health Informatics. Newport Beach, CA: ACM, 2014.
Mayberry, Addison, Pan Hu, Benjamin Marlin, Christopher Salthouse, and Deepak Ganesan. "iShadow: Design of a Wearable, Real-Time Mobile Gaze Tracker." 12th International Conference on Mobile Systems, Applications, and Services. 2014.
Contact Info

College of Information and Computer Sciences
Governors Drive
Amherst, MA 01003

(413) 545-4493