Geifman, Amnon

8 publications

NeurIPS 2025 FFN Fusion: Rethinking Sequential Computation in Large Language Models Akhiad Bercovich, Mohammed Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Ehud Dov Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv

ICML 2025 Puzzle: Distillation-Based NAS for Inference-Optimized LLMs Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammed Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Dov Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv

TMLR 2024 Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel’s Spectrum Amnon Geifman, Daniel Barzilai, Ronen Basri, Meirav Galun

JMLR 2024 Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks Yuval Belfer, Amnon Geifman, Meirav Galun, Ronen Basri

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

NeurIPS 2022 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels Amnon Geifman, Meirav Galun, David Jacobs, Basri Ronen

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

NeurIPS 2020 On the Similarity Between the Laplace and Neural Tangent Kernels Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Basri Ronen