* Equal contribution.
Learning Where to Audit Polluters from Noisy Instruments
Ankit Bhardwaj, Lakshminarayanan Subramanian
Under review.
Robust Admission Control for Cell Transmission Networks with Capacity Drops and Delays
Ankit Bhardwaj, Lakshminarayanan Subramanian
Under review.
A Decentralized Speed Advisory System with Global Traffic Awareness and Local Visual Sensing
Ankit Bhardwaj, Denis Rybkin, Anirudh Sivaraman, Lakshminarayanan Subramanian
Under review.
Identifiability-Aware Source Attribution of Air Pollution
Ankit Bhardwaj, Lakshminarayanan Subramanian
Under review.
BEACON: Bayesian Completion of Gene Regulatory Networks from Single-Cell Expression and Partial Priors
Yunwei Zhao, Ankit Bhardwaj, Preetha Balasubramanian, Lakshminarayanan Subramanian
Under review. Full version of the NeurIPS 2025 workshop paper listed below.
FieldFormer: Locality-Aware Transformers for Spatio-Temporal Modeling on Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Lakshminarayanan Subramanian
Transactions on Machine Learning Research, 2026. [Paper] [Code]
Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian
ACM Journal on Computing and Sustainable Societies, 2025. Presented at ACM COMPASS 2025. Selected for ACM Showcase. [Paper] [Code] [Slides] [ACM Showcase]
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets Using Graph Machine Learning
Sonish Sivarajkumar, Romy Roy, Pratyush Tandale, Ankit Bhardwaj, Kipp W. Johnson, Anoop Titus, Benjamin S. Glicksberg, Shameer Khader, Kamlesh K. Yadav, Lakshminarayanan Subramanian
Genes, 2025. [Paper]
Understanding Sudden Traffic Jams: From Emergence to Impact
Ankit Bhardwaj*, Shiva Iyer*, Sriram Ramesh, Jerome White, Lakshminarayanan Subramanian
Development Engineering, 2023. [Paper]
High Precision Mammography Lesion Identification From Imprecise Medical Annotations
Ulzee An, Ankit Bhardwaj, Khader Shameer, Lakshminarayanan Subramanian
Frontiers in Big Data, 2021. [Paper]
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan, Yasir Zaki, Lakshminarayanan Subramanian
AAAI Conference on Artificial Intelligence (AAAI), AI for Social Impact track, 2026. Oral presentation. [Paper] [Code] [Video]
A Replication-Testing Framework for Single-Cell Gene Regulatory Edge Rankings
Yunwei Zhao, Ankit Bhardwaj, Lakshminarayanan Subramanian
RECOMB Satellite Conference on Genetics (RECOMB-Genetics), 2026. Oral presentation.
Domain Faithfulness through Counterfactually Robust Learning
Ananth Balashankar, Ankit Bhardwaj, Neelabh Madan, Thomas Wies, Lakshminarayanan Subramanian
Conference on Causal Learning and Reasoning (CLeaR), 2026. [Paper]
Predicting Treatment Adherence of Tuberculosis Patients at Scale
Mihir Kulkarni*, Satvik Golechha*, Rishi Raj Grandhe*, Jithin K. Sreedharan*, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Kirankumar Rade, Sanjay Mattoo, Rajendra Joshi, Alpan Raval
Machine Learning for Health Symposium (ML4H), 2022. Outstanding Paper Award. [Paper]
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian
International Joint Conference on Artificial Intelligence (IJCAI), AI for Good track, 2022. Oral presentation. [Paper] [Code]
Robust Lock-Down Optimization for COVID-19 Policy Guidance
Ankit Bhardwaj*, Han-Ching Ou*, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval
AAAI Fall Symposium on AI for Social Good, 2020. [Paper] [Video]
Towards Causal Understanding of Urban Air Pollution: Mechanistic Models under Sparse Sensing
Ankit Bhardwaj, Lakshminarayanan Subramanian
NeurIPS Workshop on Uncovering Causality in Science, 2025. [Paper]
BEACON: Bayesian Contrastive Learning for Single-Cell Gene Regulatory Inference
Yunwei Zhao, Ankit Bhardwaj, Lakshminarayanan Subramanian
NeurIPS Workshop on AI Virtual Cells and Instruments, 2025. [Paper]
Modeling Economic Viability for Scalable AI Deployment in Emerging Regions
Rohail Asim, Ankit Bhardwaj, Arjuna Sathiaseelan, Yasir Zaki, Lakshminarayanan Subramanian
SOSP Workshop on Practical Adoption Challenges of ML for Systems, 2025. [Paper]
Limitations of scRNA-seq Zero-Imputation Methods for Network Inference
Ankit Bhardwaj, Joshua Weiner, Preetha Balasubramanian, Lakshminarayanan Subramanian
ICML Workshop on Machine Learning for Life and Material Science, 2024. [Paper] [Code]
Enabling High Bandwidth Applications over 5G Environments
Rohail Asim, Ankit Bhardwaj, Lakshminarayanan Subramanian, Yasir Zaki
ACM SIGCOMM, demonstration, 2024. [Paper]