Counting Popular Matchings in House Allocation Problems. - Rupam Acharyya; Sourav Chakraborty 001; Nitesh Jha (CSR, 2014)

Infinite-Label Learning with Semantic Output Codes. - Yang Zhang 035; Rupam Acharyya; Ji Liu; Boqing Gong (CoRR, 2016)

Glauber Dynamics for Ising Model on Convergent Dense Graph Sequences. - Rupam Acharyya; Daniel Stefankovic (APPROX-RANDOM, 2017)

Detecting Low Self-Esteem in Youths from Web Search Data. - Anis Zaman; Rupam Acharyya; Henry A. Kautz; Vincent Silenzio (WWW, 2019)

FairyTED: A Fair Rating Predictor for TED Talk Data. - Rupam Acharyya; Shouman Das; Ankani Chattoraj; Md. Iftekhar Tanveer (AAAI, 2020)

Detection and Mitigation of Bias in Ted Talk Ratings. - Rupam Acharyya; Shouman Das; Ankani Chattoraj; Oishani Sengupta; Md Iftekar Tanveer (CoRR, 2020)

Understanding Diversity based Pruning of Neural Networks - Statistical Mechanical Analysis. - Rupam Acharyya; Boyu Zhang; Ankani Chattoraj; Shouman Das; Daniel Stefankovic (CoRR, 2020)

Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs. - Boyu Zhang; Anis Zaman; Rupam Acharyya; Ehsan Hoque 001; Vincent Silenzio; Henry A. Kautz (CoRR, 2020)

Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches. - Rupam Acharyya; Ankani Chattoraj; Shouman Das; Md. Iftekhar Tanveer; Ehsan Hoque 001 (CoRR, 2020)

Statistical mechanical analysis of neural network pruning. - Rupam Acharyya; Ankani Chattoraj; Boyu Zhang; Shouman Das; Daniel Stefankovic (UAI, 2021)

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms. - Penghang Liu; Rupam Acharyya; Robert E. Tillman; Shunya Kimura; Naoki Masuda; Ahmet Erdem Sariyüce (CoRR, 2023)