GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices. - Yoni Kasten; Amnon Geifman; Meirav Galun; Ronen Basri (CVPR, 2019)

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings. - Yoni Kasten; Amnon Geifman; Meirav Galun; Ronen Basri (ICCV, 2019)

Averaging Essential and Fundamental Matrices in Collinear Camera Settings. - Amnon Geifman; Yoni Kasten; Meirav Galun; Ronen Basri (CVPR, 2020)

Frequency Bias in Neural Networks for Input of Non-Uniform Density. - Ronen Basri; Meirav Galun; Amnon Geifman; David W. Jacobs; Yoni Kasten; Shira Kritchman (ICML, 2020)

On the Similarity between the Laplace and Neural Tangent Kernels. - Amnon Geifman; Abhay Kumar Yadav; Yoni Kasten; Meirav Galun; David W. Jacobs; Ronen Basri (NeurIPS, 2020)

On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. - Amnon Geifman; Meirav Galun; David Jacobs 001; Ronen Basri (NeurIPS, 2022)

A Kernel Perspective of Skip Connections in Convolutional Networks. - Daniel Barzilai; Amnon Geifman; Meirav Galun; Ronen Basri (ICLR, 2023)

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. - Akhiad Bercovich; Tomer Ronen; Talor Abramovich; Nir Ailon; Nave Assaf; Mohammad Dabbah; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Netanel Haber; Ehud Karpas; et al. (CoRR, 2024)

Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks. - Yuval Belfer; Amnon Geifman; Meirav Galun; Ronen Basri (J. Mach. Learn. Res., 2024)

Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum. - Amnon Geifman; Daniel Barzilai; Ronen Basri; Meirav Galun (Trans. Mach. Learn. Res., 2024)

FFN Fusion: Rethinking Sequential Computation in Large Language Models. - Akhiad Bercovich; Mohammad Dabbah; Omri Puny; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Ehud Karpas; Itay Levy; Zach Moshe; Najeeb Nabwani; Tomer Ronen; et al. (CoRR, 2025)