Summarizing Multimedia Content. - Natwar Modani; Pranav Maneriker; Gaurush Hiranandani; Atanu R. Sinha; Utpal; Vaishnavi Subramanian; Shivani Gupta (WISE (2), 2016)

Generating Appealing Brand Names. - Gaurush Hiranandani; Pranav Maneriker; Harsh Jhamtani (CICLing (2), 2017)

Enhanced Personalized Targeting Using Augmented Reality. - Gaurush Hiranandani; Kumar Ayush; Varsha Chinnaobireddy; Atanu R. Sinha; Pranav Maneriker; Sai Varun Reddy Maram (ISMAR Adjunct, 2017)

Anti-Ad Blocking Strategy: Measuring its True Impact. - Atanu R. Sinha; Meghanath Macha; Pranav Maneriker; Sopan Khosla; Avani Samdariya; Navjot Singh (ADKDD@KDD, 2017)

Corpus-based Content Construction. - Balaji Vasan Srinivasan; Pranav Maneriker; Kundan Krishna; Natwar Modani (COLING, 2018)

A Pipeline for Disaster Response and Relief Coordination. - Pranav Maneriker; Nikhita Vedula; Hussein S. Al-Olimat; Jiayong Liang; Omar El-Khoury; Ethan J. Kubatko; Desheng Liu; Krishnaprasad Thirunarayan; Valerie L. Shalin; Amit P. Sheth; Srinivasan Parthasarathy 001 (SIGIR, 2019)

BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. - Nikhita Vedula; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2019)

Forecasting Granular Audience Size for Online Advertising. - Ritwik Sinha; Dhruv Singal; Pranav Maneriker; Kushal Chawla; Yash Shrivastava; Deepak Pai; Atanu R. Sinha (CoRR, 2019)

Towards Open Intent Discovery for Conversational Text. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (CoRR, 2019)

Network Representation Learning: Consolidation and Renewed Bearing. - Saket Gurukar; Priyesh Vijayan; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel; Balaraman Ravindran; Srinivasan Parthasarathy 001 (CoRR, 2019)

Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. - Goonmeet Bajaj; Bortik Bandyopadhyay; Daniel Schmidt; Pranav Maneriker; Christopher Myers; Srinivasan Parthasarathy 001 (CVPR Workshops, 2020)

LEAF-QA: Locate, Encode & Attend for Figure Question Answering. - Ritwick Chaudhry; Sumit Shekhar; Utkarsh Gupta; Pranav Maneriker; Prann Bansal; Ajay Joshi (WACV, 2020)

Open Intent Extraction from Natural Language Interactions. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2020)

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. - Bortik Bandyopadhyay; Pranav Maneriker; Vedang Patel; Saumya Yashmohini Sahai; Ping Zhang 016; Srinivasan Parthasarathy 001 (CoRR, 2020)

SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (EMNLP (1), 2021)

Open Intent Extraction from Natural Language Interactions (Extended Abstract). - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (IJCAI, 2021)

URLTran: Improving Phishing URL Detection Using Transformers. - Pranav Maneriker; Jack W. Stokes; Edir Garcia Lazo; Diana Carutasu; Farid Tajaddodianfar; Arun Gururajan (MILCOM, 2021)

StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (CoRR, 2021)

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. - Saket Gurukar; Priyesh Vijayan; Srinivasan Parthasarathy 001; Balaraman Ravindran; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel (Trans. Mach. Learn. Res., 2022)

Online Fairness Auditing through Iterative Refinement. - Pranav Maneriker; Codi Burley; Srinivasan Parthasarathy 001 (KDD, 2023)

LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series. - Hongjie Chen 003; Aaron D. Beachnau; Panos Thomas; Pranav Maneriker; Josh Kimball; Ryan A. Rossi (IEEE Big Data, 2024)

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. - Pranav Maneriker; Aditya Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. - Yuntian He; Pranav Maneriker; Anutam Srinivasan; Aditya Vadlamani; Srinivasan Parthasarathy 001 (CoRR, 2024)

A Generic Framework for Conformal Fairness. - Aditya T. Vadlamani; Anutam Srinivasan; Pranav Maneriker; Ali Payani; Srinivasan Parthasarathy 001 (ICLR, 2025)

Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation. - Amin Meghrazi; Pranav Maneriker; Swati Padhee; Srinivasan Parthasarathy 001 (SIGMOD Conference Companion, 2025)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. - Pranav Maneriker; Aditya T. Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (Trans. Mach. Learn. Res., 2025)