Publications per year
Publications per year
Overview
Education/Academic qualification
Comp-Comp Sci, Doctorate Degree
Fingerprint
Dive into the research topics where Ramakrishnan {ramki} Kannan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
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Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures
Soh, Y., Kannan, R., Sao, P. & Choi, J., Aug 12 2024, 53rd International Conference on Parallel Processing, ICPP 2024 - Main Conference Proceedings. Association for Computing Machinery, p. 107-116 10 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Fragile Earth: Generative and Foundational Models for Sustainable Development
Eftelioglu, E., Dilkina, B., Abe, N., Kannan, R., Chen, Y., Gel, Y. R., Buckingham, K., Ganguly, A., Hodson, J. & Mao, J., Aug 25 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6710-6711 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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On Rank Selection for Nonnegative Matrix Factorization
Eswar, S., Hayashi, K., Cobb, B., Kannan, R., Ballard, G., Vuduc, R. & Park, H., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1294-1301 8 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Srikishan, B., Tabassum, A., Allu, S., Kannan, R. & Muralidhar, N., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 15066-15074 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations -
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations
Kannan, R., Garcia-Cardona, C., Radhakrishnan, B. & Seal, S. K., 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J.C.-W. & Agrawal, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1744-1753 10 p. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Datasets
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COVID-19 Knowledge Graph -- Dataset for SMCDC 2021 Challenge 2
Herrmannova, D. (Creator), Kannan, R. {. (Creator), Lim, S.-H. (Creator) & Potok, T. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), May 13 2021
Dataset
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Scalable Knowledge-Graph Analytics at 136 Petaflop/s
Herrmannova, D. (Creator), Kannan, R. {. (Creator), Sao, P. (Creator), Lu, H. (Creator), Potok, T. (Creator), Thakkar, V. (Creator) & Vuduc, R. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Aug 7 2020
Dataset