Edo Cohen-Karlik

22 papers A* 5A 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach. CoRR Edo Cohen-Karlik, Itamar Zimerman, Liane Galanti, Ido Atad, Amir Globerson, Lior Wolf
2024	A*	`conf`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. ICML Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Overcoming Order in Autoregressive Graph Generation for Molecule Generation. Trans. Mach. Learn. Res. Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
2024	J	`jnl`	Overcoming Order in Autoregressive Graph Generation. CoRR Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
2024	A*	`conf`	Provable Benefits of Complex Parameterizations for Structured State Space Models. NeurIPS Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Provable Benefits of Complex Parameterizations for Structured State Space Models. CoRR Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2023	A*	`conf`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
2022	J	`jnl`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
2022	A	`conf`	On the Implicit Bias of Gradient Descent for Temporal Extrapolation. AISTATS Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2022	J	`jnl`	On the Implicit Bias of Gradient Descent for Temporal Extrapolation. CoRR Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2021	J	`jnl`	An autonomous debating system. Nat. Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov
2020	A*	`conf`	A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. AAAI Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
2020	A*	`conf`	Regularizing Towards Permutation Invariance In Recurrent Models. NeurIPS Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
2020	J	`jnl`	Regularizing Towards Permutation Invariance in Recurrent Models. CoRR Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
2020	—	`conf`	The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. EMNLP (Findings) Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
2020	J	`jnl`	The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. CoRR Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
2019	J	`jnl`	A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis. CoRR Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
2019	—	`conf`	Automatic Argument Quality Assessment - New Datasets and Methods. EMNLP/IJCNLP (1) Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	Automatic Argument Quality Assessment - New Datasets and Methods. CoRR Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	—	`conf`	Learning to combine Grammatical Error Corrections. BEA@ACL Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
2019	J	`jnl`	Learning to combine Grammatical Error Corrections. CoRR Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim