janardhan: Semantic Textual Similarity using Universal Networking Language graph matching. - Janardhan Singh; Arindam Bhattacharya; Pushpak Bhattacharyya (SemEval@NAACL-HLT, 2012)

Constructing Isosurfaces with Sharp Edges and Corners using Cube Merging. - Arindam Bhattacharya; Rephael Wenger (Comput. Graph. Forum, 2013)

MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites. - Arindam Bhattacharya; Christoph Heinzl; Artem Amirkhanov; Johann Kastner; Rephael Wenger (PacificVis, 2015)

A Survey of Question Answering for Math and Science Problem. - Arindam Bhattacharya (CoRR, 2017)

Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites. - Arindam Bhattacharya; Johannes Weissenbock; Rephael Wenger; Artem Amirkhanov; Johann Kastner; Christoph Heinzl (IEEE Trans. Vis. Comput. Graph., 2017)

Adaptive Learned Bloom Filters under Incremental Workloads. - Arindam Bhattacharya; Srikanta Bedathur; Amitabha Bagchi (COMAD/CODS, 2020)

FROCC: Fast Random projection-based One-Class Classification. - Arindam Bhattacharya; Sumanth Varambally; Amitabha Bagchi; Srikanta Bedathur (CoRR, 2020)

Fast One-class Classification using Class Boundary-preserving Random Projections. - Arindam Bhattacharya; Sumanth Varambally; Amitabha Bagchi; Srikanta Bedathur (KDD, 2021)

New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters. - Arindam Bhattacharya; Chathur Gudesa; Amitabha Bagchi; Srikanta Bedathur (Proc. VLDB Endow., 2022)

CUPID: Curriculum Learning Based Real-Time Prediction using Distillation. - Arindam Bhattacharya; Ankith M. S; Ankit Gandhi; Vijay Huddar; Atul Saroop; Rahul Bhagat (ACL (industry), 2023)

Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. - Ayan Biswas; Arindam Bhattacharya; Yi-Tang Chen; Han-Wei Shen (LDAV, 2023)

Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC). - Arindam Bhattacharya; Ankit Gandhi; Vijay Huddar; Ankith M. S; Aayush Moroney; Atul Saroop; Rahul Bhagat (WSDM, 2023)

DISKCO : Disentangling Knowledge from Cross-Encoder to Bi-Encoder. - Ankith M. S; Arindam Bhattacharya; Ankit Gandhi; Vijay Huddar; Atul Saroop; Rahul Bhagat (WWW (Companion Volume), 2024)

Data-Dependent Generalization Bounds for Neural Networks with ReLU. - Harsh Pandey; Amitabha Bagchi; Srikanta J. Bedathur; Arindam Bhattacharya (Trans. Mach. Learn. Res., 2024)

Generative or Discriminative? Revisiting Text Classification in the Era of Transformers. - Siva Rajesh Kasa; Karan Gupta 002; Sumegh Roychowdhury; Ashutosh Kumar; Yaswanth Biruduraju; Santhosh Kumar Kasa; Nikhil Priyatam Pattisapu; Arindam Bhattacharya; Shailendra Agarwal; Vijay Huddar (CoRR, 2025)