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Dar Gilboa
Dar Gilboa
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Title
Cited by
Cited by
Year
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
682022
Stochastic bouncy particle sampler
A Pakman, D Gilboa, D Carlson, L Paninski
International Conference on Machine Learning, 2741-2750, 2017
332017
Dynamical isometry and a mean field theory of LSTMs and GRUs
D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ...
arXiv preprint arXiv:1901.08987, 2019
322019
Efficient dictionary learning with gradient descent
D Gilboa, S Buchanan, J Wright
International Conference on Machine Learning, 2252-2259, 2019
302019
Suppressing quantum errors by scaling a surface code logical qubit
R Acharya, I Aleiner, R Allen, TI Andersen, M Ansmann, F Arute, K Arya, ...
arXiv preprint arXiv:2207.06431, 2022
292022
Deep networks and the multiple manifold problem
S Buchanan, D Gilboa, J Wright
arXiv preprint arXiv:2008.11245, 2020
242020
A mean field theory of quantized deep networks: The quantization-depth trade-off
Y Blumenfeld, D Gilboa, D Soudry
Advances in Neural Information Processing Systems 32, 2019
122019
Beyond signal propagation: is feature diversity necessary in deep neural network initialization?
Y Blumenfeld, D Gilboa, D Soudry
International Conference on Machine Learning, 960-969, 2020
102020
Estimating the unique information of continuous variables
A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ...
Advances in neural information processing systems 34, 20295-20307, 2021
82021
Deep networks provably classify data on curves
T Wang, S Buchanan, D Gilboa, J Wright
Advances in neural information processing systems 34, 28940-28953, 2021
42021
Purification-based quantum error mitigation of pair-correlated electron simulations
TE O'Brien, G Anselmetti, F Gkritsis, VE Elfving, S Polla, WJ Huggins, ...
arXiv preprint arXiv:2210.10799, 2022
32022
Formation of robust bound states of interacting microwave photons
A Morvan, TI Andersen, X Mi, C Neill, A Petukhov, K Kechedzhi, ...
Nature 612 (7939), 240-245, 2022
22022
Noise-resilient edge modes on a chain of superconducting qubits
X Mi, M Sonner, MY Niu, KW Lee, B Foxen, R Acharya, I Aleiner, ...
Science 378 (6621), 785-790, 2022
22022
Observation of non-Abelian exchange statistics on a superconducting processor
TI Andersen, YD Lensky, K Kechedzhi, I Drozdov, A Bengtsson, S Hong, ...
arXiv preprint arXiv:2210.10255, 2022
22022
Formation of robust bound states of interacting photons
A Morvan, TI Andersen, X Mi, C Neill, A Petukhov, K Kechedzhi, D Abanin, ...
arXiv preprint arXiv:2206.05254, 2022
22022
Noise-resilient Majorana edge modes on a chain of superconducting qubits
X Mi, M Sonner, MY Niu, KW Lee, B Foxen, R Acharya, I Aleiner, ...
arXiv preprint arXiv:2204.11372, 2022
22022
Marginalizable Density Models
D Gilboa, A Pakman, T Vatter
arXiv preprint arXiv:2106.04741, 2021
22021
Estimating the unique information of continuous variables in recurrent networks
A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ...
CoRR, abs/2102.00218, 2021
22021
Wider networks learn better features
D Gilboa, G Gur-Ari
arXiv preprint arXiv:1909.11572, 2019
22019
Noise-resilient Majorana Edge Modes on a Chain of Superconducting Qubits
A Asfaw, AJ Zalcman, A Locharla, AG Dau, A Crook, A Opremcak, ...
2022
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