Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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NRT-HDR: Data-Driven Discovery and Engineering from Atoms to Processes (3DEAP)
Daoutidis, P. (PI), Sarupria, S. (CoI), Bartel, C. J. (Other Role), Boehnke, N. (Other Role), Karypis, G. (Other Role), Reineke, T. M. (Other Role), Tadmor, E. B. (Other Role) & Zhang, Q. (Other Role)
THE NATIONAL SCIENCE FOUNDATION
9/1/24 → 8/31/29
Project: Research project
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GOALI: Frameworks: At-Scale Heterogeneous Data based Adaptive Development Platform for Machine-Learning Models for Material and Chemical Discovery
Tadmor, E. B. (PI) & Karypis, G. (CoI)
NEW YORK UNIVERSITY, THE NATIONAL SCIENCE FOUNDATION
10/1/23 → 9/30/28
Project: Research project
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Collaborative Research: Reliable Materials Simulation based on the Knowledgebase of Interatomic Models (KIM)
Tadmor, E. B. (PI), Elliott, R. S. (CoI) & Karypis, G. (CoI)
THE NATIONAL SCIENCE FOUNDATION
10/1/18 → 3/31/25
Project: Research project
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High-Performance Static and Streaming Tensor Factorization Algorithms
Karypis, G. (PI)
US DEPT OF DEFENSE ARMY, DEFENSE NUCLEAR AGENCY (USDOD)
8/10/18 → 8/9/22
Project: Research project
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3rd International Workshop on Industrial Recommendation Systems (IRS)
Ma, L., Li, X., Ahmadi, K., Xu, J., Yu, P. S. & Karypis, G., Oct 21 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 5588-5591 4 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Differentially Private Bias-Term Fine-tuning of Foundation Models
Bu, Z., Wang, Y. X., Zha, S. & Karypis, G., 2024, In: Proceedings of Machine Learning Research. 235, p. 4730-4751 22 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Extending Input Contexts of Language Models through Training on Segmented Sequences
Karypis, P., McAuley, J. & Karypis, G., 2024, Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 3040-3052 13 p. (Findings of the Association for Computational Linguistics: NAACL 2024 - Findings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Extreme Miscalibration and the Illusion of Adversarial Robustness
Raina, V., Tan, S., Cevher, V., Rawal, A., Zha, S. & Karypis, G., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 2500-2525 26 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations -
First Workshop on Generative AI for Recommender Systems and Personalization
Tabari, N., Deshmukh, A. A., Kang, W. C., Zamani, H., Gangadharaiah, R., Mcauley, J. & Karypis, G., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6737-6738 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
1 Scopus citations
Datasets
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Regions of High Confidence in Chinese Hamster and CHO-K1 Genome Assemblies
Bandyopadhyay, A., Hu, W.-S., Jacob, N. M., Johnson, K., Karypis, G., Le, H., Mudge, J., Onsongo, I. G., Ramaraj, T., Sharma, M., Silverstein, K. A. T., Vishwanathan, N. & Fu, H.-Y., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6Z304, http://dx.doi.org/10.13020/D6Z304
Dataset
Press/Media
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UMN researchers’ graph could find COVID-19 treatments
Karypis, G. & Ioannidis, V.
6/1/20
1 item of Media coverage
Press/Media: Research