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2020 – today
- 2024
[i8]Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro:
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. CoRR abs/2408.13352 (2024)- 2023
- [c5]Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro:
Learning to Optimize Quantum Neural Networks Without Gradients. QCE 2023: 263-271 - [c4]Ankit Kulshrestha
, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops 2023: 1487-1491 - [i7]Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro:
Learning To Optimize Quantum Neural Network Without Gradients. CoRR abs/2304.07442 (2023) - [i6]Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR abs/2310.07858 (2023) - 2022
- [c3]Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro:
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. AAAI 2022: 12673-12679 - [c2]Ankit Kulshrestha, Ilya Safro:
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. QCE 2022: 197-203 - [i5]Ankit Kulshrestha, Vishwas Lele:
Cobol2Vec: Learning Representations of Cobol code. CoRR abs/2201.09448 (2022) - [i4]Ankit Kulshrestha, Ilya Safro:
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. CoRR abs/2204.13751 (2022) - 2021
- [i3]Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro:
Accelerating COVID-19 research with graph mining and transformer-based learning. CoRR abs/2102.07631 (2021) - [i2]Ankit Kulshrestha, Ilya Safro:
Coping with Mistreatment in Fair Algorithms. CoRR abs/2102.10750 (2021) - [i1]Ankit Kulshrestha, Ilya Safro:
FAIRLEARN: Configurable and Interpretable Algorithmic Fairness. CoRR abs/2111.08878 (2021)
2010 – 2019
- 2018
- [c1]André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith:
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. IEEE BigData 2018: 3144-3152
Coauthor Index
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