Gal Elidan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
15
Active years
2001–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Do LLMs have Consistent Values? | Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel |
| 2023 | ACL | Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment. | Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson |
| 2023 | ACL | Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. | Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Lonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor |
| 2022 | UAI | Active learning with label comparisons. | Gal Yona, Shay Moran, Gal Elidan, Amir Globerson |
| 2021 | ICCV | Explaining in Style: Training a GAN to explain a classifier in StyleSpace. | Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri |
| 2021 | ICLR | Net-DNF: Effective Deep Modeling of Tabular Data. | Liran Katzir, Gal Elidan, Ran El-Yaniv |
| 2021 | SoCS | Solving Sokoban with Forward-Backward Reinforcement Learning. | Yaron Shoham, Gal Elidan |
| 2020 | WWW | Dynamic Composition for Conversational Domain Exploration. | Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias |
| 2019 | AISTATS | Learning Rules-First Classifiers. | Deborah Cohen, Amit Daniely, Amir Globerson, Gal Elidan |
| 2017 | AISTATS | Scalable Learning of Non-Decomposable Objectives. | Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan |
| 2017 | IJCAI | Logistic Markov Decision Processes. | Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2016 | ACSSC | Quaternion structured paranormal distributions. | Yonatan Woodbridge, Gal Elidan, Ami Wiesel |
| 2016 | AISTATS | Improper Deep Kernels. | Uri Heinemann, Roi Livni, Elad Eban, Gal Elidan, Amir Globerson |
| 2016 | AISTATS | Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables. | Yaniv Tenzer, Gal Elidan |
| 2016 | ICASSP | Signal detection in para complex normal noise. | Yonatan Woodbridge, Gal Elidan, Ami Wiesel |
| 2014 | UAI | HELM: Highly Efficient Learning of Mixed copula networks. | Yaniv Tenzer, Gal Elidan |
| 2013 | AISTATS | Dynamic Copula Networks for Modeling Real-valued Time Series. | Elad Eban, Gideon Rothschild, Adi Mizrahi, Israel Nelken, Gal Elidan |
| 2013 | UAI | Learning Max-Margin Tree Predictors. | Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson |
| 2013 | UAI | Speedy Model Selection (SMS) for Copula Models. | Yaniv Tenzer, Gal Elidan |
| 2012 | COLING | A Diverse Dirichlet Process Ensemble for Unsupervised Induction of Syntactic Categories. | Roi Reichart, Gal Elidan, Ari Rappoport |
| 2010 | UAI | Inference-less Density Estimation using Copula Bayesian Networks. | Gal Elidan |
| 2008 | UAI | Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. | Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller |
| 2006 | CVPR | Learning Object Shape: From Drawings to Images. | Gal Elidan, Geremy Heitz, Daphne Koller |
| 2006 | UAI | Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. | Gal Elidan, Ian McGraw, Daphne Koller |
| 2005 | RECOMB | Towards an Integrated Protein-Protein Interaction Network. | Ariel Jaimovich, Gal Elidan, Hanah Margalit, Nir Friedman |
| 2004 | UAI | "Ideal Parent" Structure Learning for Continuous Variable Networks. | Iftach Nachman, Gal Elidan, Nir Friedman |
| 2003 | RECOMB | Modeling dependencies in protein-DNA binding sites. | Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kaplan |
| 2003 | UAI | The Information Bottleneck EM Algorithm. | Gal Elidan, Nir Friedman |
| 2002 | AAAI | Data Perturbation for Escaping Local Maxima in Learning. | Gal Elidan, Matan Ninio, Nir Friedman, Dale Schuurmans |
| 2001 | ISMB | Inferring subnetworks from perturbed expression profiles. | Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman |
| 2001 | UAI | Learning the Dimensionality of Hidden Variables. | Gal Elidan, Nir Friedman |