Ankush Agarwal

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 20

Top Topics

Passage Retrieval

Nearest Neighbor

Question Answering

Top Venues

Publications

Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR (2024)
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) (2024)
Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. CoRR (2023)
Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad, Pushpak Bhattacharyya
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering. CoRR (2023)
Ankush Agarwal, Christian-Oliver Ewald, Yongjie Wang
Hedging longevity risk in defined contribution pension schemes. Comput. Manag. Sci. 20 (1) (2023)
Gilberto Chávez-Martínez, Ankush Agarwal, Abbas Khalili, Syed Ejaz Ahmed
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models. Technometrics 65 (4) (2023)
Ankush Agarwal, Andrea Amato, Gonçalo Dos Reis, Stefano Pagliarani
Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent. CoRR (2023)
Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. CoRR (2022)
Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. LREC (2022)
Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharya
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. ICON (2022)
Aradhya Saini, Ankush Agarwal, Dharmendra Singh
Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images. IGARSS (2020)
Arun Kumar Singh, Anushka Swarup, Ankush Agarwal, Dharmendra Singh
Vision based rail track extraction and monitoring through drone imagery. ICT Express 5 (4) (2019)
Ankush Agarwal, Sandeep Kumar, Dharmendra Singh
Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. IGARSS (2019)
Ankush Agarwal, Stefano De Marco, Emmanuel Gobet, Gang Liu
Study of new rare event simulation schemes and their application to extreme scenario generation. Math. Comput. Simul. 143 (2018)
Anjana N. J. Kukunuri, Deepak Murugan, Ankush Agarwal, Dharmendra Singh
An Efficient Application of Fusion Approach for Agriculture Drought Estimation of Uttarakhand, India with Modis Data. ISIVC (2018)
Ankush Agarwal, Arun Kumar Singh, Sandeep Kumar, Dharmendra Singh
Critical analysis of classification techniques for precision agriculture monitoring using satellite and drone. ICIIS (2018)
Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh
A concept of satellite-based IoT for downscaling the MODIS data to extract Land Surface Temperature. ISIVC (2018)
Ankush Agarwal, Ronnie Sircar
Portfolio Benchmarking Under Drawdown Constraint and Stochastic Sharpe Ratio. SIAM J. Financial Math. 9 (2) (2018)
Ankush Agarwal, Emmanuel Gobet
Finite variance unbiased estimation of stochastic differential equations. WSC (2017)
Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh
An efficient use of IoT for satellite data in land cover monitoring to estimate LST and ET. ICIIS (2016)
Ankush Agarwal, Sandeep Juneja
Nearest Neighbor Based Estimation Technique for Pricing Bermudan Options. IGTR 17 (1) (2015)
Ankush Agarwal, Santanu Dey, Sandeep Juneja
Efficient Simulation of Large Deviation Events for Sums of Random Vectors Using Saddle-Point Representations. J. Appl. Probab. 50 (3) (2013)
Ankush Agarwal, Sandeep Juneja
Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. WSC (2013)
J. Ramanujam, Jinpyo Hong, Mahmut T. Kandemir, Amit Narayan, Ankush Agarwal
Estimating and reducing the memory requirements of signal processing codes for embedded systems. IEEE Trans. Signal Process. 54 (1) (2006)