SELECTED PUBLICATIONS 

2024

• Sankarshan Damle, Manisha Padala, and Sujit Gujar. "Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. (AAMAS-24).

2023

• Sankarshan Damle, Manisha Padala, and Sujit Gujar. "Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation." To Appear in the proceedings of the 37th AAAI Conference on Artifical Intelligence (AAAI'23).

• Haris Aziz, Sujit Gujar, Manisha Padala, Mashbat Suzuki and Jeremy Vollen. "Coordinating Monetary Contributions in Participatory Budgeting." Proceedings of The 16th International Symposium on Algorithmic Game Theory (SAGT-23)

2022

• Shaily Mishra, Padala Manisha, and  Sujit Gujar. "Fair Allocation with Special Externalities" To Appear in the Proceedings of the 19th Pacific Rim International Conference.  Best Paper Award 1st Runner Up (PRICAI'22).

• Shaily Mishra, Padala Manisha, and  Sujit Gujar. "EEF1-NN: Efficient and EF1 allocations through Neural Networks" To Appear in the Proceedings of the 19th Pacific Rim International Conference (PRICAI'22).

2021

• Padala Manisha and Sujit Gujar. "Mechanism Design without Money for Fair Allocations." To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21).

• Padala Manisha, Sankarshan Damle, and Sujit Gujar. "Learning Equilibrium Contributions in Multi-project Civic Crowdfunding." To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21).

• Kanaparthy Samhita, Padala Manisha , Sankarshan Damle and Sujit Gujar. "Fair Federated Learning for Heterogeneous Face Data." To Appear in the Proceedings of the 9th ACM IKDD CODS and 27th COMAD (CODS-COMAD 2022) [Young Researchers' Symposium Track]

• Padala Manisha, Sankarshan Damle, and Sujit Gujar. "Federated Learning Meets Fairness and Differential Privacy". To Appear in the Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21). 

• Padala Manisha, Debojit Das, and Sujit Gujar. "Effect of Input Noise Dimension in GANs ". To Appear in the Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21). 

2020

• Padala Manisha, Sujit Gujar. "FNNC: Achieving Fairness through Neural Networks". In the proceedings of 29th International Joint Conference on Artificial Intelligence 2020 (IJCAI '20).

2019

• Padala Manisha, Sujit Gujar. "Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks". Accepted as Extended Abstract in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems 2019 (AAMAS '19).

2018

• Padala Manisha, C. V. Jawahar, and Sujit Gujar. 2018. "Learning Optimal Redistribution Mechanisms Through Neural Networks". In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18). 

NON-ARCHIVAL  

2021

• Padala Manisha, Sankarshan Damle, and Sujit Gujar. "Building Ethical AI: Federated Learning Meets Fairness and Differential Privacy". The 1st Conference on Deployable AI 2021 (DAI '21) organized by RBCDSAI, IIT, Madras. (Best Paper Award)

PREPRINTS

• P Manisha and Sujit Gujar. "Generative Adversarial Networks (GANs): The Progress So Far In Image Generation." arXiv preprint arXiv:1804.00140

• Shaily Mishra, Padala Manisha, Sujit Gujar."Fair and Efficient Resource Allocation with Externalities." CoRR abs/2018.12806 (2021)

• Samhita Kanaparthy, Padala Manisha, Sankarshan Damle, Sujit Gujar, "Fair Federated Learning for Heterogeneous Face Data." CoRR abs/2109.02351 (2021)