Anirudh Suresh

According to our database, Anirudh Suresh authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights.

Anirudh Suresh, Kalyanmoy Deb

IEEE Trans. Evol. Comput., October, 2024

On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making.

Anirudh Suresh, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

On the Choice of Unique Identifiers for Predicting Pareto-Optimal Solutions Using Machine Learning.

Anirudh Suresh, Kalyanmoy Deb

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Learning to Predict Pareto-Optimal Solutions from Pseudo-weights.

Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models.

Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb

CoRR, 2022

2021

Towards Multi-objective Co-evolutionary Problem Solving.

Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments.

Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019

Output-Constrained Bayesian Neural Networks.

Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

CoRR, 2019