Amnon Geifman

According to our database, Amnon Geifman authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration.

Akhiad Bercovich, Nir Ailon, Vladimir Anisimov, Tomer Asida, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Roi Koren, Itay Levy, Zach Moshe, Pavlo Molchanov, Najeeb Nabwani, Mostofa Patwari, Omri Puny, Tomer Ronen, Itamar Schen, Elad Segal, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv

CoRR, February, 2026

2025

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, Itamar Schen, Elad Segal, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv

CoRR, March, 2025

FFN Fusion: Rethinking Sequential Computation in Large Language Models.

Akhiad Bercovich, Mohammad Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izik Golan, Ehud Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks.

Yuval Belfer, Amnon Geifman, Meirav Galun, Ronen Basri

J. Mach. Learn. Res., 2024

2023

A Kernel Perspective of Skip Connections in Convolutional Networks.

Daniel Barzilai, Amnon Geifman, Meirav Galun, Ronen Basri

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels.

Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Proceedings of the 37th International Conference on Machine Learning, 2020

Averaging Essential and Fundamental Matrices in Collinear Camera Settings.

Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings.

Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices.

Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019