Submitted (under review)
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Liron Mor Yosef, Haim Avron.
"On Encoding Matrices using Quantum Circuits". (Submitted, 2025)
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Neta Shoham, Liron Mor Yosef, Haim Avron.
"Flatness After All?". (Submitted, 2025)
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Leah Bar, Liron Mor Yosef, Shai Zucker, Neta Shoham, Inbar Seroussi, Nir Sochen.
"A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models". (Submitted, 2025)
Journal & Conference Papers
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Liron Mor Yosef, Shashanka Ubaru, Lior Horesh, Haim Avron.
"Multivariate Trace Estimation Using Quantum State Space Linear Algebra".
SIAM Journal on Matrix Analysis and Applications, 46 (1), 2025
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Liron Mor Yosef, Haim Avron.
"Sketching for Principal Component Regression".
SIAM Journal on Matrix Analysis and Applications, 40 (2), 2019
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Daniel Benditkis, Aviv Keren, Liron Mor Yosef, Tomer Avidor, Neta Shoham, Nadav Tal-Israel.
"Distributed deep neural network training on edge devices".
SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
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Neta Shoham, Tomer Avidor, Aviv Keren, Nadav Israel, Daniel Benditkis, Liron Mor Yosef, Itai Zeitak.
"Overcoming Forgetting in Federated Learning on Non-IID Data".
NeurIPS 2019 Workshop on Federated Learning for Data Privacy and Confidentiality
Posters & White Papers