4 citations · 5 across the 6 of their papers we have counts for
6 papers
Identifiability-Aware Source Apportionment in City-Scale Advection-Diffusion Systems
Ankit Bhardwaj, Lakshminarayanan Subramanian
Source apportionment from sparse urban air-quality sensors is an inverse problem limited by sensor placement, wind-driven transport, background variation, and noise. Known or proxy…
Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
Ramakrishnan Krishnamurthy, Arpit Agarwal, Lakshminarayanan Subramanian +1
User interactions in online recommendation platforms create interdependencies among content creators: feedback on one creator's content influences the system's learning and, in tur…
FieldFormer: Locality-Aware Transformers for Spatio-Temporal Modeling on Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Lakshminarayanan Subramanian
Spatio-temporal sensor data in real-world systems is often sparse, noisy, and irregular, making latent field reconstruction fundamentally underconstrained. Under extreme sparsity,…
Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer +4
Urban air pollution hotspots pose significant health risks, yet their detection and analysis remain limited by the sparsity of public sensor networks. This paper addresses this cha…
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
Sonish Sivarajkumar, Pratyush Tandale, Ankit Bhardwaj +6
Transcription factors (TFs) play a vital role in the regulation of gene expression thereby making them critical to many cellular processes. In this study, we used graph machine lea…
A Model-based Projection Technique for Segmenting Customers
Srikanth Jagabathula, Lakshminarayanan Subramanian, Ashwin Venkataraman
We consider the problem of segmenting a large population of customers into non-overlapping groups with similar preferences, using diverse preference observations such as purchases,…