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Journal Articles
- 2024
[j1]Anirudh Suresh
, Kalyanmoy Deb:
Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights. IEEE Trans. Evol. Comput. 28(5): 1351-1365 (2024)
Conference and Workshop Papers
- 2024
- [c5]Anirudh Suresh, Kalyanmoy Deb:
On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making. CEC 2024: 1-8 - 2023
- [c4]Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh:
Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. EMO 2023: 191-204 - [c3]Anirudh Suresh, Kalyanmoy Deb:
On the Choice of Unique Identifiers for Predicting Pareto-Optimal Solutions Using Machine Learning. SSCI 2023: 1479-1484 - 2021
- [c2]Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. CEC 2021: 1601-1608 - [c1]Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Towards Multi-objective Co-evolutionary Problem Solving. EMO 2021: 139-151
Informal and Other Publications
- 2022
- [i2]Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb:
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models. CoRR abs/2211.09727 (2022) - 2019
- [i1]Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez:
Output-Constrained Bayesian Neural Networks. CoRR abs/1905.06287 (2019)
Coauthor Index
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