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ORCIDAnkit Singh
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2020 – today
- 2024
[j13]Ankit Singh
, Vikas Maurya, Manoj K. Rajpoot:
Numerical analysis and simulation of European options under liquidity shocks: A coupled semilinear system approach with new IMEX methods. Comput. Math. Appl. 165: 28-38 (2024)- [j12]Vikas Maurya, Ankit Singh, Manoj K. Rajpoot:
Implicit-explicit Runge-Kutta methods for pricing financial derivatives in state-dependent regime-switching jump-diffusion models. J. Appl. Math. Comput. 70(2): 1601-1632 (2024) - [j11]Vikas Maurya, Ankit Singh, Vivek S. Yadav, Manoj K. Rajpoot:
Efficient pricing of options in jump-diffusion models: Novel implicit-explicit methods for numerical valuation. Math. Comput. Simul. 217: 202-225 (2024) - [j10]Jyoti Jaglan, Ankit Singh, Vikas Maurya, Vivek S. Yadav, Manoj K. Rajpoot:
Strong stability preserving multiderivative time marching methods for stiff reaction-diffusion systems. Math. Comput. Simul. 225: 267-282 (2024) - [c16]Ankit Singh, Nitesh Dhiman, Dericks Praise Shukla:
Transfer Learning in Landslide Susceptibility Mapping: Bridging Data-Rich and Data-Scarce Regions in the Northwestern Himalayas. IGARSS 2024: 3253-3256 - [i10]Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh, Eustache Le Bihan, Hakim Hacid:
ViSpeR: Multilingual Audio-Visual Speech Recognition. CoRR abs/2406.00038 (2024) - [i9]Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid:
Falcon2-11B Technical Report. CoRR abs/2407.14885 (2024) - [i8]Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor:
From Unimodal to Multimodal: Scaling up Projectors to Align Modalities. CoRR abs/2409.19425 (2024) - 2023
- [c15]Simone Rossi, Ankit Singh, Thomas Hannagan:
On permutation symmetries in Bayesian neural network posteriors: a variational perspective. NeurIPS 2023 - [i7]Simone Rossi, Ankit Singh, Thomas Hannagan:
On permutation symmetries in Bayesian neural network posteriors: a variational perspective. CoRR abs/2310.10171 (2023) - 2022
- [j9]Akshay Parmar, Ankit Singh:
An Evaluation of Online Education Efficacy and the Measures to Improve It From the Perspectives of Management Students in the Wake of COVID-19. Int. J. e Collab. 18(1): 1-14 (2022) - [j8]Ankit Singh, Samrat Kumar Mukherjee, Vivek Pandey, Ajeya K. Jha:
Role and Usage of Social Media in COVID-19: An Analysis of Vaccination-Related Conspiracy Theories. Int. J. e Collab. 18(1): 1-13 (2022) - [j7]Ankit Singh, Vikas Maurya, Manoj K. Rajpoot:
New two-derivative implicit-explicit Runge-Kutta methods for stiff reaction-diffusion systems. J. Comput. Phys. 471: 111610 (2022) - [c14]Eyhab Al-Masri, Ankit Singh, Alireza Souri:
IoBCT: A Brain Computer Interface using EEG Signals for Controlling IoT Devices. ICKII 2022: 18-23 - [c13]Ankit Singh, Sharad Kumar Gupta, Nitesh, Dericks Praise Shukla:
Estimating Suitable Categorization Method for Landslide Susceptibility Mapping of Mandi District. IGARSS 2022: 5481-5484 - [c12]Oliver Kraft, Oliver Pohl, Ulf Häger, Kai Heussen, Nils Müller, Zeeshan Afzal, Mathias Ekstedt, Hossein Farahmand, Dmytro Ivanko, Ankit Singh, Sasiphong Leksawat, Andreas Kubis:
Development and Implementation of a Holistic Flexibility Market Architecture. ISGT 2022: 1-5 - 2021
- [c11]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR 2021: 10389-10399 - [c10]Ankit Singh:
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation. NeurIPS 2021: 5089-5101 - [i6]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR abs/2102.02751 (2021) - [i5]Yalda Ghasemi, Ankit Singh, Myunghee Kim, Andrew E. Johnson, Heejin Jeong:
Effects of Head-locked Augmented Reality on User's performance and perceived workload. CoRR abs/2106.14068 (2021) - [i4]Ankit Singh:
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation. CoRR abs/2107.00085 (2021) - 2020
- [j6]Praveen K. Maurya, Manoj K. Rajpoot, Vivek S. Yadav, Ankit Singh:
New hybrid compact schemes for structured irregular meshes using Birkhoff polynomial basis. J. Comput. Phys. 423: 109808 (2020) - [c9]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) 2020: 177-193 - [c8]Heejin Jeong, Ankit Singh, Myunghee Kim, Andrew E. Johnson:
Using Augmented Reality to Assist Seated Office Workers' Data Entry Tasks. VR Workshops 2020: 293-294 - [i3]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR abs/2008.05524 (2020)
2010 – 2019
- 2019
- [j5]Vinay Kumar, Ankit Singh, Shubham Upadhyay, Binod Kumar:
Power-Delay-Error-Efficient Approximate Adder for Error-Resilient Applications. J. Circuits Syst. Comput. 28(10): 1950171:1-1950171:14 (2019) - [c7]Akansha Jain, Ishita Aggarwal, Ankit Singh:
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis. SemEval@NAACL-HLT 2019: 185-189 - 2018
- [j4]Ankit Singh, Dheeraj Kumar, Jürgen Hötzel:
IoT Based information and communication system for enhancing underground mines safety and productivity: Genesis, taxonomy and open issues. Ad Hoc Networks 78: 115-129 (2018) - [c6]Ankit Singh, Upendra Kumar Singh, Dheeraj Kumar:
IoT in mining for sensing, monitoring and prediction of underground mines roof support. RAIT 2018: 1-5 - 2017
- [j3]Ankit Singh, Hervais Simo Fhom:
Restricted usage of anonymous credentials in vehicular ad hoc networks for misbehavior detection. Int. J. Inf. Sec. 16(2): 195-211 (2017) - [j2]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5293-5301 (2017) - 2016
- [c5]Nicholas F. Polys, Ankit Singh, Peter Sforza:
A novel level-of-detail technique for virtual city environments. Web3D 2016: 183-184 - [i2]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR abs/1612.00144 (2016) - 2015
- [i1]Oualid El Halimi, Trith Patel, Zohaib S. Kiyani, Naresh Kumar, Ankit Singh:
Comparative Stability of Cloned and Non-cloned Code: A Replication Study. CoRR abs/1504.07713 (2015) - 2014
- [j1]Liming Zuo, Neeraj Kumar, Hang Tu, Ankit Singh, Naveen K. Chilamkurti, Seungmin Rho:
Detection and analysis of secure intelligent universal designated verifier signature scheme for electronic voting system. J. Supercomput. 70(1): 177-199 (2014) - 2013
- [c4]Ankit Singh, A. L. Narasimha Reddy:
Multi Path PERT. ICCCN 2013: 1-9 - 2012
- [c3]Nuria Casellas, Thomas R. Bruce, Sara S. Frug, Sarah Bouwman, Dallas Dias, Jie Lin, Sharvari Marathe, Krithi Rai, Ankit Singh, Debraj Sinha, Sanjna Venkataraman:
Linked legal data: improving access to regulations. DG.O 2012: 280-281 - 2011
- [c2]Ankit Singh, Lauren Bradel, Alex Endert, Robert Kincaid, Christopher Andrews, Chris North:
Supporting the cyber analytic process using visual history on large displays. VizSEC 2011: 3 - [c1]Dan Tilden, Ankit Singh, Nicholas F. Polys, Peter Sforza:
Multimedia mashups for mirror worlds. Web3D 2011: 155-164
Coauthor Index
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