Lirandë Pira

Follow

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Quantum Linear System Solvers: A Survey of Algorithms and Applications	2024	Mauro E. S. Morales Lirandë Pira Philipp Schleich Kelvin Koor Pedro C. S. Costa Dong An Lin Lin Patrick Rebentrost Dominic W. Berry
+ PDF Chat	QKAN: Quantum Kolmogorov-Arnold Networks	2024	Petr Ivashkov Po‐Wei Huang Kelvin Koor Lirandë Pira Patrick Rebentrost
+	Explicability and Inexplicability in the Interpretation of Quantum Neural Networks	2023	Lirandë Pira Christopher Ferrie
+	Sub-universal variational circuits for combinatorial optimization problems	2023	Gal Weitz Lirandë Pira Christopher Ferrie Joshua Combes

Common Coauthors

Coauthor	Papers Together
Christopher Ferrie	2
Kelvin Koor	2
Patrick Rebentrost	2
Mauro E. S. Morales	1
Joshua Combes	1
Pedro C. S. Costa	1
Dominic W. Berry	1
Gal Weitz	1
Petr Ivashkov	1
Po‐Wei Huang	1
Lin Lin	1
Philipp Schleich	1
Dong An	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	1
+ PDF Chat	Quantum machine learning	2017	Jacob Biamonte Péter Wittek Nicola Pancotti Patrick Rebentrost Nathan Wiebe Seth Lloyd	1
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	1
+ PDF Chat	The mythos of model interpretability	2018	Zachary C. Lipton	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+ PDF Chat	Characterization and control of open quantum systems beyond quantum noise spectroscopy	2020	Akram Youssry Gerardo A. Paz-Silva Christopher Ferrie	1
+ PDF Chat	Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges	2020	Christoph Molnar Giuseppe Casalicchio Bernd Bischl	1
+ PDF Chat	Noise detection with spectator qubits and quantum feature engineering	2023	Akram Youssry Gerardo A. Paz-Silva Christopher Ferrie	1
+ PDF Chat	A Survey on Neural Network Interpretability	2021	Yu Zhang Peter Tiňo Aleš Leonardis Ke Tang	1
+	Is explainable AI a race against model complexity?	2022	Advait Sarkar	1
+	Experimental graybox quantum system identification and control	2022	Akram Youssry Yang Yang Robert J. Chapman Ben Haylock Francesco Lenzini Mirko Lobino Alberto Peruzzo	1
+ PDF Chat	Challenges and opportunities in quantum machine learning	2022	M. Cerezo Guillaume Verdon Hsin-Yuan Huang Łukasz Cincio Patrick J. Coles	1
+	Classification with Quantum Neural Networks on Near Term Processors	2018	Edward Farhi Hartmut Neven	1
+	eXplainable AI for Quantum Machine Learning	2022	Patrick Steinmüller Tobias Schulz Ferdinand Graf Daniel Herr	1
+	A Quantum Algorithm for Shapley Value Estimation	2023	Iain Burge Michel Barbeau Joaquín García-Alfaro	1
+	Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning	2023	Raoul Heese Thore Gerlach Sascha Mücke Sabine Müller Matthias Jakobs Nico Piatkowski	1
+	Sub-universal variational circuits for combinatorial optimization problems	2023	Gal Weitz Lirandë Pira Christopher Ferrie Joshua Combes	1