Ankit Kulshrestha

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Search Mechanism

Multiprocessor Architecture

Top Venues

Publications

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
Learning to Optimize Quantum Neural Networks Without Gradients. QCE (2023)
Ankit Kulshrestha, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops (2023)
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
Learning To Optimize Quantum Neural Network Without Gradients. CoRR (2023)
Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR (2023)
Ankit Kulshrestha, Vishwas Lele
Cobol2Vec: Learning Representations of Cobol code. CoRR (2022)
Ankit Kulshrestha, Ilya Safro
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. QCE (2022)
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)
Ankit Kulshrestha, Ilya Safro
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. CoRR (2022)
Ankit Kulshrestha, Ilya Safro
Coping with Mistreatment in Fair Algorithms. CoRR (2021)
Ankit Kulshrestha, Ilya Safro
FAIRLEARN: Configurable and Interpretable Algorithmic Fairness. CoRR (2021)
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
Accelerating COVID-19 research with graph mining and transformer-based learning. CoRR (2021)
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)