Research output per year
Research output per year
Search results
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2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Razin, N., Verbin, T. & Cohen, N., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Alexander, Y., De La Vega, N., Razin, N. & Cohen, N., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
2021
Continuous vs. Discrete Optimization of Deep Neural Networks
Elkabetz, O. & Cohen, N., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 4947-4960 14 p. (Advances in Neural Information Processing Systems; vol. 7).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Scopus citations -
Implicit Regularization in Tensor Factorization
Razin, N., Maman, A. & Cohen, N., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 8913-8924 12 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
21 Scopus citations -
2018
On the optimization of deep networks: Implicit acceleration by overparameterization
Arora, S., Cohen, N. & Hazan, E., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 372-389 18 p. (35th International Conference on Machine Learning, ICML 2018; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
133 Scopus citations -
Zero-Shot Super-Resolution Using Deep Internal Learning
Shocher, A., Cohen, N. & Irani, M., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3118-3126 9 p. 8578427. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access819 Scopus citations -
2016
Convolutional rectifier networks as generalized tensor decompositions
Cohen, N. & Shashua, A., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 1500-1519 20 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
44 Scopus citations -
Deep SimNets
Cohen, N., Sharir, O. & Shashua, A., 9 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 4782-4791 10 p. 7780886. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
34 Scopus citations