Research output per year
Research output per year
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Dive into the research topics where Gautam Dasarathy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Graph-Based Approach to Boundary Estimation with Mobile Sensors
Stalley, S. O., Wang, D., Dasarathy, G. & Lipor, J., Apr 1 2022, In: IEEE Robotics and Automation Letters. 7, 2, p. 4991-4998 8 p.Research output: Contribution to journal › Article › peer-review
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A label-efficient two-sample test
Li, W., Dasarathy, G., Ramamurthy, K. N. & Berisha, V., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 1168-1177 10 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data
Taghipourbazargani, N., Dasarathy, G., Sankar, L. & Kosut, O., 2022, (Accepted/In press) In: IEEE Transactions on Power Systems. p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements
Dasarathy, G., Mossel, E., Nowak, R. & Roch, S., Apr 2022, In: Journal Of Mathematical Biology. 84, 5, 36.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization
Sypherd, T., Diaz, M., Cava, J. K., Dasarathy, G., Kairouz, P. & Sankar, L., 2022, (Accepted/In press) In: IEEE Transactions on Information Theory.Research output: Contribution to journal › Article › peer-review
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SenSIP Project: Artificial Intelligence Algorithms for Power Converters
Allee, D., Dasarathy, G. & Spanias, A.
INDUSTRY: Various Consortium Members
1/1/23 → 12/31/23
Project: Research project
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PIPP Phase I: Computational foundations for bio-social modeling of unseen pandemics
Pedrielli, G., Lim, E., Lant, T., Johnston, E., Dasarathy, G., Trieu, N., Rivera, D., Turaga, P., Li, W., Halden, R., Woodbury, N., Solis, P., Simeone, M., Berisha, V., Buman, M., Sankar, L. & Kelbauskas, L.
National Science Foundation (NSF)
9/15/22 → 2/29/24
Project: Research project
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MaCRoLearn: Manifold Controls for Robust Learning
Dasarathy, G., Turaga, P. & Berisha, V.
DOD: Defense Advanced Research Projects Agency (DARPA)
4/4/22 → 12/31/23
Project: Research project
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CAREER: Learning and Leveraging the Structure of Large Graphs: Novel Theory and Algorithms
National Science Foundation (NSF)
9/1/21 → 8/31/26
Project: Research project