Yonatan Geifman

17 papers A* 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration. CoRR 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
2025	J	`jnl`	Efficient Video Sampling: Pruning Temporally Redundant Tokens for Faster VLM Inference. CoRR Natan Bagrov, Eugene Khvedchenia, Borys Tymchenko, Shay Aharon, Lior Kadoch, Tomer Keren, Ofri Masad, Yonatan Geifman, Ran Zilberstein, Tuomas Rintamaki, Matthieu Le, Andrew Tao
2025	J	`jnl`	FFN Fusion: Rethinking Sequential Computation in Large Language Models. CoRR 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
2025	A*	`conf`	Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. ICML 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
2024	J	`jnl`	Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. CoRR 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
2023	A*	`conf`	Window-Based Distribution Shift Detection for Deep Neural Networks. NeurIPS Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
2022	J	`jnl`	Distribution Shift Detection for Deep Neural Networks. CoRR Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
2019	—	`conf`	Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers. ICLR (Poster) Yonatan Geifman, Guy Uziel, Ran El-Yaniv
2019	A*	`conf`	Deep Active Learning with a Neural Architecture Search. NeurIPS Yonatan Geifman, Ran El-Yaniv
2019	A*	`conf`	SelectiveNet: A Deep Neural Network with an Integrated Reject Option. ICML Yonatan Geifman, Ran El-Yaniv
2019	J	`jnl`	SelectiveNet: A Deep Neural Network with an Integrated Reject Option. CoRR Yonatan Geifman, Ran El-Yaniv
2018	J	`jnl`	Boosting Uncertainty Estimation for Deep Neural Classifiers. CoRR Yonatan Geifman, Guy Uziel, Ran El-Yaniv
2018	J	`jnl`	Deep Active Learning with a Neural Architecture Search. CoRR Yonatan Geifman, Ran El-Yaniv
2017	J	`jnl`	Deep Active Learning over the Long Tail. CoRR Yonatan Geifman, Ran El-Yaniv
2017	—	`conf`	Selective Classification for Deep Neural Networks. NIPS Yonatan Geifman, Ran El-Yaniv
2017	J	`jnl`	Selective Classification for Deep Neural Networks. CoRR Yonatan Geifman, Ran El-Yaniv
2017	J	`jnl`	The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression. CoRR Ran El-Yaniv, Yonatan Geifman, Yair Wiener