Publications

Submitted (under review)

• Liron Mor Yosef, Haim Avron. "On Encoding Matrices using Quantum Circuits". (Submitted, 2025)
• Neta Shoham, Liron Mor Yosef, Haim Avron. "Flatness After All?". (Submitted, 2025)
• 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

• 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
• Liron Mor Yosef, Haim Avron. "Sketching for Principal Component Regression".
  SIAM Journal on Matrix Analysis and Applications, 40 (2), 2019
• 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
• 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

• Liron Mor Yosef, Haim Avron. "Efficient Classical-Quantum Algorithms for Matrix Encoding".
  Householder Symposium XXII (poster), 2025
• Liron Mor yosef. "Distributed Training on Edge Devices: Communication compression".
  Edgify white paper, 2019