Brian Coyle - RankMe

18 papers Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection. CoRR Natansh Mathur, Brian Coyle, Nishant Jain, Snehal Raj, Akshat Tandon, Jasper Simon Krauser, Rainer Stoessel
2025	J	`jnl`	Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters. CoRR Snehal Raj, Brian Coyle
2024	J	`jnl`	Training-efficient density quantum machine learning. CoRR Brian Coyle, El Amine Cherrat, Nishant Jain, Natansh Mathur, Snehal Raj, Skander Kazdaghli, Iordanis Kerenidis
2022	J	`jnl`	A continuous variable Born machine. Quantum Mach. Intell. Ieva Cepaite, Brian Coyle, Elham Kashefi
2022	J	`jnl`	Graph neural network initialisation of quantum approximate optimisation. Quantum Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar
2022	J	`jnl`	Machine learning applications for noisy intermediate-scale quantum computers. CoRR Brian Coyle
2021	J	`jnl`	F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits. CoRR Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti
2021	J	`jnl`	F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits. Entropy Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti
2021	J	`jnl`	Graph neural network initialisation of quantum approximate optimisation. CoRR Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar
2021	J	`jnl`	Probably approximately correct quantum source coding. CoRR Armando Angrisani, Brian Coyle, Elham Kashefi
2021	J	`jnl`	Variational inference with a quantum computer. CoRR Marcello Benedetti, Brian Coyle, Mattia Fiorentini, Michael Lubasch, Matthias Rosenkranz
2020	J	`jnl`	Certified Randomness From Steering Using Sequential Measurements. CoRR Brian Coyle, Elham Kashefi, Matty Hoban
2020	J	`jnl`	Quantum versus Classical Generative Modelling in Finance. CoRR Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi
2020	J	`jnl`	Robust data encodings for quantum classifiers. CoRR Ryan LaRose, Brian Coyle
2020	J	`jnl`	Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis. CoRR Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar
2019	J	`jnl`	Certified Randomness From Steering Using Sequential Measurements. Cryptogr. Brian Coyle, Elham Kashefi, Matty J. Hoban
2019	J	`jnl`	The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine. CoRR Brian Coyle, Daniel Mills, Vincent Danos, Elham Kashefi
2018	—	`conf`	One-Sided Device-Independent Certification of Unbounded Random Numbers. PC@UCNC Brian Coyle, Matty J. Hoban, Elham Kashefi