Dar Gilboa

According to our database, Dar Gilboa authored at least 20 papers between 2017 and 2026.

Collaborative distances:

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

2026

Hybrid Consensus with Quantum Sybil Resistance.

Dar Gilboa, Siddhartha Jain, Or Sattath

CoRR, February, 2026

2025

Anonymous Quantum Tokens with Classical Verification.

Dmytro Gavinsky, Dar Gilboa, Siddhartha Jain, Dmitri Maslov, Jarrod R. McClean

CoRR, October, 2025

Quantum advantage for learning shallow neural networks with natural data distributions.

Laura Lewis, Dar Gilboa, Jarrod R. McClean

CoRR, March, 2025

Scaling and logic in the colour code on a superconducting quantum processor.

Nathan Lacroix, Alexandre Bourassa, Francisco J. H. Heras, L. M. Zhang, Johannes Bausch, Andrew W. Senior, Thomas Edlich, Noah Shutty, V. Sivak, Andreas Bengtsson, Matthew J. McEwen, Oscar Higgott, Dvir Kafri, Jahan Claes, Alexis Morvan, Zijun Chen, Adam Zalcman, S. Madhuk, R. Acharya, Laleh Aghababaie Beni, G. Aigeldinger, R. Alcaraz, Trond I. Andersen, Markus Ansmann, Frank Arute, Kunal Arya, A. Asfaw, Juan Atalaya, Ryan Babbush, B. Ballard, Joseph C. Bardin, A. Bilmes, Sam Blackwell, J. Bovaird, D. Bowers, L. Brill, Michael Broughton, D. A. Browne, B. Buchea, B. B. Buckley, T. Burger, Brian Burkett, N. Bushnell, A. Cabrera, J. Campero, Hung-Shen Chang, Benjamin Chiaro, Liang-Ying Chih, A. Y. Cleland, J. Cogan, Roberto Collins, P. Conner, W. Courtney, A. L. Crook, Benjamin Curtin, Sayan Das, Sean Demura, L. De Lorenzo, Agustin Di Paolo, P. Donohoe, Ilya K. Drozdov, Andrew Dunsworth, A. Eickbusch, A. Moshe Elbag, M. Elzouka, Catherine Erickson, V. S. Ferreira, L. Flores Burgos, E. Forati, Austin G. Fowler, Brooks Foxen, S. Ganjam, G. Garcia, R. Gasca, Élie Genois, W. Giang, Dar Gilboa, Raja Gosula, A. Grajales Dau, D. Graumann, Amy L. Greene, Jonathan A. Gross, T. Ha, Stephen Habegger, M. Hansen, Matthew P. Harrigan, Sean D. Harrington, S. Heslin, P. Heu, R. Hiltermann, J. Hilton, Sabrina Hong, H.-Y. Huang, A. Huff, William J. Huggins, Evan Jeffrey, Zhang Jiang, X. Jin, C. Joshi, Pavol Juhas, A. Kabel, H. Kang, Amir H. Karamlou, Kostyantyn Kechedzhi, T. Khaire, Tanuj Khattar, M. Khezri, S. Kim, Paul V. Klimov, B. Kobrin, Alexander N. Korotkov, F. Kostritsa, J. Mark Kreikebaum, V. D. Kurilovich, David Landhuis, T. Lange-Dei, B. W. Langley, P. Laptev, K.-M. Lau, Justin Ledford, K. Lee, Brian Lester, Loïck Le Guevel, W. Yan Li, Y. Li, A. T. Lill, William P. Livingston, Aditya Locharla, Erik Lucero, D. Lundahl, A. Lunt, A. Maloney, Salvatore Mandrà, L. S. Martin, O. Martin, C. Maxfield, Jarrod R. McClean, S. Meeks, Anthony Megrant, K. C. Miao, R. Molavi, S. Molina, Shirin Montazeri, Ramis Movassagh, Charles J. Neill, Michael Newman, A. Nguyen, M. Nguyen, C.-H. Ni, Murphy Yuezhen Niu, L. Oas, W. D. Oliver, R. Orosco, K. Ottosson, Alex Pizzuto, R. Potter, O. Pritchard, Chris Quintana, G. Ramachandran, Matthew J. Reagor, R. Resnick, David M. Rhodes, G. Roberts, E. Rosenberg, E. Rosenfeld, E. Rossi, Pedram Roushan, Kannan A. Sankaragomathi, Henry F. Schurkus, M. J. Shearn, A. Shorter, V. Shvarts, S. Small, W. Clarke Smith, S. Springer, George Sterling, J. Suchard, Aaron Szasz, A. Sztein, D. Thor, E. Tomita, A. Torres, Mustafa Mert Torunbalci, A. Vaishnav, J. Vargas, S. Vdovichev, G. Vidal, Catherine Vollgraff Heidweiller, S. Waltman, Jonathan Waltz, S. X. Wang, Brayden Ware, T. Weidel, Ted White, K. Wong, Bryan W. K. Woo, Madison Woodson, C. Xing, Z. Jamie Yao, Ping Yeh, B. Ying, J. Yoo, Noureldin Yosri, G. Young, Y. Zhang, Ningfeng Zhu, N. Zobrist, Hartmut Neven, Pushmeet Kohli, Alex Davies, Sergio Boixo, Julian Kelly, Cody Jones, Craig Gidney, Kevin J. Satzinger

Nat., 2025

Consumable Data via Quantum Communication.

Dar Gilboa, Siddhartha Jain, Jarrod R. McClean

Proceedings of the Approximation, 2025

2024

Exponential Quantum Communication Advantage in Distributed Inference and Learning.

Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod R. McClean

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

Trans. Mach. Learn. Res., 2023

On quantum backpropagation, information reuse, and cheating measurement collapse.

Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean

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

2021

Marginalizable Density Models.

Dar Gilboa, Ari Pakman, Thibault Vatter

CoRR, 2021

Estimating the Unique Information of Continuous Variables.

Ari Pakman, Dar Gilboa, Elad Schneidman

CoRR, 2021

Deep Networks Provably Classify Data on Curves.

Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating the Unique Information of Continuous Variables.

Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Networks and the Multiple Manifold Problem.

Sam Buchanan, Dar Gilboa, John Wright

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

When Can Nonconvex Optimization Problems be Solved with Gradient Descent? A Few Case Studies.

Dar Gilboa

PhD thesis, 2020

Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?

Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry

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

2019

Wider Networks Learn Better Features.

Dar Gilboa, Guy Gur-Ari

CoRR, 2019

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs.

Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington

CoRR, 2019

A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off.

Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry

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

Efficient Dictionary Learning with Gradient Descent.

Dar Gilboa, Sam Buchanan, John Wright

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

2017

Stochastic Bouncy Particle Sampler.

Ari Pakman, Dar Gilboa, David E. Carlson, Liam Paninski

Proceedings of the 34th International Conference on Machine Learning, 2017