Estimating and reducing the memory requirements of signal processing codes for embedded systems. - J. Ramanujam; Jinpyo Hong; Mahmut T. Kandemir; Amit Narayan; Ankush Agarwal (IEEE Trans. Signal Process., 2006)

Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. - Ankush Agarwal; Sandeep Juneja 001 (WSC, 2013)

Efficient Simulation of Large Deviation Events for Sums of Random Vectors Using Saddle-Point Representations. - Ankush Agarwal; Santanu Dey; Sandeep Juneja 001 (J. Appl. Probab., 2013)

Nearest Neighbor Based Estimation Technique for Pricing Bermudan Options. - Ankush Agarwal; Sandeep Juneja 001 (IGTR, 2015)

An efficient use of IoT for satellite data in land cover monitoring to estimate LST and ET. - Ankush Agarwal; Shruti Gupta; Sandeep Kumar 004; Dharmendra Singh (ICIIS, 2016)

Finite variance unbiased estimation of stochastic differential equations. - Ankush Agarwal; Emmanuel Gobet (WSC, 2017)

Critical analysis of classification techniques for precision agriculture monitoring using satellite and drone. - Ankush Agarwal; Arun Kumar Singh; Sandeep Kumar 004; Dharmendra Singh (ICIIS, 2018)

A concept of satellite-based IoT for downscaling the MODIS data to extract Land Surface Temperature. - Ankush Agarwal; Shruti Gupta; Sandeep Kumar 004; Dharmendra Singh (ISIVC, 2018)

An Efficient Application of Fusion Approach for Agriculture Drought Estimation of Uttarakhand, India with Modis Data. - Anjana Naga Jyothi Kukunuri; Deepak Murugan; Ankush Agarwal; Dharmendra Singh (ISIVC, 2018)

Study of new rare event simulation schemes and their application to extreme scenario generation. - Ankush Agarwal; Stefano De Marco; Emmanuel Gobet; Gang Liu (Math. Comput. Simul., 2018)

Portfolio Benchmarking Under Drawdown Constraint and Stochastic Sharpe Ratio. - Ankush Agarwal; Ronnie Sircar (SIAM J. Financial Math., 2018)

Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. - Ankush Agarwal; Sandeep Kumar 004; Dharmendra Singh (IGARSS, 2019)

Vision based rail track extraction and monitoring through drone imagery. - Arun Kumar Singh; Anushka Swarup; Ankush Agarwal; Dharmendra Singh (ICT Express, 2019)

Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images. - Aradhya Saini; Ankush Agarwal; Dharmendra Singh (IGARSS, 2020)

There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. - Ankush Agarwal; Sakharam Gawade; Sachin Channabasavarajendra; Pushpak Bhattacharya (ICON, 2022)

Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. - Ankush Agarwal; Raj Gite; Shreya Laddha; Pushpak Bhattacharyya; Satyanarayan Kar; Asif Ekbal; Prabhjit Thind; Rajesh Zele; Ravi Shankar (LREC, 2022)

KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering. - Ankush Agarwal; Sakharam Gawade; Amar Prakash Azad; Pushpak Bhattacharyya (CoRR, 2023)

Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent. - Ankush Agarwal; Andrea Amato; Gonçalo Dos Reis; Stefano Pagliarani (CoRR, 2023)

Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models. - Gilberto Chávez-Martínez; Ankush Agarwal; Abbas Khalili; Syed Ejaz Ahmed (Technometrics, 2023)

Hedging longevity risk in defined contribution pension schemes. - Ankush Agarwal; Christian-Oliver Ewald; Yongjie Wang (Comput. Manag. Sci., 2023)

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. - Pranoy Panda; Ankush Agarwal; Chaitanya Devaguptapu; Manohar Kaul; A. P. Prathosh (ACL (1), 2024)

Integrating Artificial Intelligence Models and Synthetic Image Data for Enhanced Asset Inspection and Defect Identification. - Reddy Mandati; Vladyslav Anderson; Po-Chen Chen; Ankush Agarwal; Tatjana Dokic; David Barnard; Michael Finn; Jesse Cromer; Andrew Mccauley; Clay Tutaj; Neha Dave; Bobby Besharati; et al. (CoRR, 2024)

Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location. - Reddy Mandati; Po-Chen Chen; Vladyslav Anderson; Bishwa Sapkota; Michael Jarrell Warren; Bobby Besharati; Ankush Agarwal; Samuel Johnston III (CoRR, 2024)

Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? - Parth Thakkar; Ankush Agarwal; Prasad Kasu; Pulkit Bansal; Chaitanya Devaguptapu (ACL (1), 2025)

Hybrid Graphs for Table-and-Text based Question Answering using LLMs. - Ankush Agarwal; Chaitanya Devaguptapu; Ganesh S (NAACL (Long Papers), 2025)

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? - Parth Thakkar; Ankush Agarwal; Prasad Kasu; Pulkit Bansal; Chaitanya Devaguptapu (CoRR, 2025)