Yonatan Geifman

According to our database, Yonatan Geifman authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control.

Ali Taghibakhshi, Ruisi Cai, Saurav Muralidharan, Sharath Turuvekere Sreenivas, Aditya Vavre, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Sheldon Liang, Marcin Chochowski, Zijia Chen, Akhiad Bercovich, Ran Zilberstein, Ran El-Yaniv, Yonatan Geifman, Daniel Korzekwa, Yoshi Suhara, Oluwatobi Olabiyi, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov

CoRR, May, 2026

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding.

Talor Abramovich, Maor Ashkenazi, Carl Putterman, Benjamin Chislett, Tiyasa Mitra, Bita Darvish Rouhani, Ran Zilberstein, Yonatan Geifman

CoRR, April, 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

Efficient Video Sampling: Pruning Temporally Redundant Tokens for Faster VLM Inference.

Natan Bagrov, Eugene Khvedchenia, Borys Tymchenko, Shay Aharon, Lior Kadoch, Tomer Keren, Ofri Masad, Yonatan Geifman, Ran Zilberstein, Tuomas Rintamaki, Matthieu Le, Andrew Tao

CoRR, October, 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

2023

Window-Based Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

CoRR, 2022

2019

Deep Active Learning with a Neural Architecture Search.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SelectiveNet: A Deep Neural Network with an Integrated Reject Option.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers.

Yonatan Geifman, Guy Uziel, Ran El-Yaniv

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Boosting Uncertainty Estimation for Deep Neural Classifiers.

Yonatan Geifman, Guy Uziel, Ran El-Yaniv

CoRR, 2018

2017

Deep Active Learning over the Long Tail.

Yonatan Geifman, Ran El-Yaniv

CoRR, 2017

The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression.

Ran El-Yaniv, Yonatan Geifman, Yair Wiener

CoRR, 2017

Selective Classification for Deep Neural Networks.

Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017