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Ankush Agarwal
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2020 – today
- 2024
- [c11]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: 13263-13282 - [i5]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR abs/2406.06027 (2024) - 2023
- [j8]Ankush Agarwal, Christian-Oliver Ewald, Yongjie Wang:
Hedging longevity risk in defined contribution pension schemes. Comput. Manag. Sci. 20(1): 11 (2023) - [j7]Gilberto Chávez-Martínez, Ankush Agarwal, Abbas Khalili, Syed Ejaz Ahmed:
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models. Technometrics 65(4): 553-563 (2023) - [i4]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 abs/2301.04013 (2023) - [i3]Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad, Pushpak Bhattacharyya:
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering. CoRR abs/2308.03638 (2023) - [i2]Ankush Agarwal, Andrea Amato, Gonçalo Dos Reis, Stefano Pagliarani:
Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent. CoRR abs/2310.13579 (2023) - 2022
- [c10]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: 204-211 - [c9]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: 6260-6270 - [i1]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 abs/2205.15952 (2022) - 2020
- [c8]Aradhya Saini, Ankush Agarwal, Dharmendra Singh:
Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images. IGARSS 2020: 2237-2240
2010 – 2019
- 2019
- [j6]Arun Kumar Singh, Anushka Swarup, Ankush Agarwal, Dharmendra Singh:
Vision based rail track extraction and monitoring through drone imagery. ICT Express 5(4): 250-255 (2019) - [c7]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: 5832-5835 - 2018
- [j5]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: 89-98 (2018) - [j4]Ankush Agarwal, Ronnie Sircar:
Portfolio Benchmarking Under Drawdown Constraint and Stochastic Sharpe Ratio. SIAM J. Financial Math. 9(2): 435-464 (2018) - [c6]Ankush Agarwal, Arun Kumar Singh, Sandeep Kumar, Dharmendra Singh:
Critical analysis of classification techniques for precision agriculture monitoring using satellite and drone. ICIIS 2018: 83-88 - [c5]Anjana Naga Jyothi 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: 39-42 - [c4]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: 67-70 - 2017
- [c3]Ankush Agarwal, Emmanuel Gobet:
Finite variance unbiased estimation of stochastic differential equations. WSC 2017: 1950-1961 - 2016
- [c2]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: 905-909 - 2015
- [j3]Ankush Agarwal, Sandeep Juneja:
Nearest Neighbor Based Estimation Technique for Pricing Bermudan Options. IGTR 17(1): 1540002:1-1540002:31 (2015) - 2013
- [j2]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): 703-720 (2013) - [c1]Ankush Agarwal, Sandeep Juneja:
Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. WSC 2013: 701-712
2000 – 2009
- 2006
- [j1]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): 286-294 (2006)
Coauthor Index
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