Research output per year
Research output per year
Search results
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2023
LEARNING LOW DIMENSIONAL STATE SPACES WITH OVERPARAMETERIZED RECURRENT NEURAL NETS
Cohen-Karlik, E., Menuhin-Gruman, I., Giryes, R., Cohen, N. & Globerson, A., 2023.Research output: Contribution to conference › Paper › peer-review
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2020
An ETF view of Dropout regularization
Bank, D. & Giryes, R., 2020.Research output: Contribution to conference › Paper › peer-review
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Deep Sparse Light Field Refocusing
Dayan, S. B., Mendlovic, D. & Giryes, R., 2020.Research output: Contribution to conference › Paper › peer-review
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The Resistance to Label Noise in K-NN and DNN Depends on its Concentration
Drory, A., Ratzon, O., Avidan, S. & Giryes, R., 2020.Research output: Contribution to conference › Paper › peer-review
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2017
Generalization error of invariant classifiers
Sokolić, J., Giryes, R., Sapiro, G. & Rodrigues, M. R. D., 2017.Research output: Contribution to conference › Paper › peer-review
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2015
On the stability of deep networks
Giryes, R., Sapiro, G. & Bronstein, A. M., 2015.Research output: Contribution to conference › Paper › peer-review