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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Collaborations and top research areas from the last five years
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ClassBO: Bayesian Optimization for Heterogeneous Functions
Malu, M., Pedrielli, G., Dasarathy, G. & Spanias, A., 2025, Learning and Intelligent Optimization - 18th International Conference, LION 18, Revised Selected Papers. Festa, P., Ferone, D., Pastore, T. & Pisacane, O. (eds.). Springer Science and Business Media Deutschland GmbH, p. 249-253 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14990 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Orthogonality and graph divergence losses promote disentanglement in generative models
Shukla, A., Dadhich, R., Singh, R., Rayas, A., Saidi, P., Dasarathy, G., Berisha, V. & Turaga, P., 2024, In: Frontiers in Computer Science. 6, 1274779.Research output: Contribution to journal › Article › peer-review
Open Access -
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data
Taghipourbazargani, N., Dasarathy, G., Sankar, L. & Kosut, O., Sep 1 2023, In: IEEE Transactions on Power Systems. 38, 5, p. 4165-4176 12 p.Research output: Contribution to journal › Article › peer-review
Open Access12 Scopus citations -
Class GP: Gaussian Process Modeling for Heterogeneous Functions
Malu, M., Pedrielli, G., Dasarathy, G. & Spanias, A., 2023, Learning and Intelligent Optimization - 17th International Conference, LION 17, Revised Selected Papers. Sellmann, M. & Tierney, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 408-423 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14286 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Differential Analysis for Networks Obeying Conservation Laws
Rayas, A., Anguluri, R., Cheng, J. & Dasarathy, G., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
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CAREER: Learning and Leveraging the Structure of Large Graphs: Novel Theory and Algorithms
Dasarathy, G. (PI)
National Science Foundation (NSF)
9/1/21 → 8/31/26
Project: Research project
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Active meta learning
Dasarathy, G. (CoI) & Berisha, V. (PI)
DOD-NAVY: Office of Naval Research (ONR)
5/26/21 → 5/25/25
Project: Research project
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CIF: Small: Alpha Loss: A New Framework for Understanding and Trading Off Computation, Accuracy, and Robustness in Machine Learning
Sankar, L. (PI) & Dasarathy, G. (CoI)
National Science Foundation (NSF)
10/1/20 → 9/30/25
Project: Research project
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SenSIP Project: Artificial Intelligence Algorithms for Power Converters
Allee, D. (CoI), Dasarathy, G. (CoI) & Spanias, A. (PI)
INDUSTRY: Various Consortium Members
1/1/23 → 12/31/24
Project: Research project
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PIPP Phase I: Computational foundations for bio-social modeling of unseen pandemics
Pedrielli, G. (CoI), Lim, E. (CoI), Lant, T. (CoI), Johnston, E. (CoI), Dasarathy, G. (CoI), Trieu, N. (CoI), Rivera, D. (CoI), Turaga, P. (PI), Li, W. (CoI), Halden, R. (CoI), Woodbury, N. (CoI), Solis, P. (CoI), Simeone, M. (CoI), Berisha, V. (CoI), Buman, M. (CoI), Sankar, L. (CoI) & Kelbauskas, L. (CoI)
National Science Foundation (NSF)
9/15/22 → 12/31/24
Project: Research project