Learning Optimal Redistribution Mechanisms Through Neural Networks. - Padala Manisha; C. V. Jawahar; Sujit Gujar (AAMAS, 2018)

Generative Adversarial Networks (GANs): What it can generate and What it cannot? - P. Manisha; Sujit Gujar (CoRR, 2018)

A Neural Network Framework for Fair Classifier. - P. Manisha; Sujit Gujar (CoRR, 2018)

Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks. - Padala Manisha; Sujit Gujar (AAMAS, 2019)

FNNC: Achieving Fairness through Neural Networks. - Padala Manisha; Sujit Gujar (IJCAI, 2020)

Effect of Input Noise Dimension in GANs. - Manisha Padala; Debojit Das; Sujit Gujar (ICONIP (3), 2021)

Federated Learning Meets Fairness and Differential Privacy. - Manisha Padala; Sankarshan Damle; Sujit Gujar (ICONIP (6), 2021)

Learning Equilibrium Contributions in Multi-project Civic Crowdfunding. - Manisha Padala; Sankarshan Damle; Sujit Gujar (WI/IAT, 2021)

Mechanism Design without Money for Fair Allocations. - Manisha Padala; Sujit Gujar (WI/IAT, 2021)

Fair and Efficient Resource Allocation with Externalities. - Shaily Mishra; Manisha Padala; Sujit Gujar (CoRR, 2021)

Fair Federated Learning for Heterogeneous Face Data. - Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Sujit Gujar (CoRR, 2021)

Fair Federated Learning for Heterogeneous Data. - Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Sujit Gujar (COMAD/CODS, 2022)

Fair Allocation with Special Externalities. - Shaily Mishra; Manisha Padala; Sujit Gujar (PRICAI (1), 2022)

EEF1-NN: Efficient and EF1 Allocations Through Neural Networks. - Shaily Mishra; Manisha Padala; Sujit Gujar (PRICAI (2), 2022)

Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. - Sankarshan Damle; Manisha Padala; Sujit Gujar (AAAI, 2023)

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. - Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Ravi Kiran Sarvadevabhatla; Sujit Gujar (PAKDD (1), 2023)

Fair Allocation of goods and chores - Tutorial and Survey of Recent Results. - Shaily Mishra; Manisha Padala; Sujit Gujar (CoRR, 2023)

Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains. - Sankarshan Damle; Manisha Padala; Sujit Gujar (AAMAS, 2024)

Tutorial on Fair and Private Deep Learning. - Manisha Padala; Sankarshan Damle; Sujit Gujar (COMAD/CODS, 2024)

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights. - Manisha Padala; Lokesh Nagalapatti; Atharv Tyagi; Ramasuri Narayanam; Shiv Kumar Saini (AAAI, 2025)

Coordinating monetary contributions in participatory budgeting. - Haris Aziz 001; Sujit Gujar; Manisha Padala; Mashbat Suzuki; Jeremy Vollen (Auton. Agents Multi Agent Syst., 2025)