Research output per year
Research output per year
Search results
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2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Eliasof, M., Haber, E. & Treister, E., 1 Jan 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3836-3849 14 p. (Advances in Neural Information Processing Systems; vol. 5).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2020
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks
Ephrath, J., Eliasof, M., Ruthotto, L., Haber, E. & Treister, E., 1 May 2020, 36th International Conference on Machine Learning Workshop (ICML), Long Beach, CA, USA, 2019. 4 ed. Vol. 14. p. 894-904 11 p. (IEEE Journal on Selected Topics in Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
2019
IMEXNet - A forward stable deep neural network
Haber, E., Lensink, K., Treister, E. & Ruthotto, L., 1 Jan 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 4473-4482 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
2016
Joint full waveform inversion and travel time tomography
Treister, E. & Haber, E., 1 Jan 2016, 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential. European Association of Geoscientists and Engineers, EAGE, (78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations