Niv Giladi
Niv Giladi
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Augment your batch: Improving generalization through instance repetition
E Hoffer, T Ben-Nun, I Hubara, N Giladi, T Hoefler, D Soudry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Evaluating and calibrating uncertainty prediction in regression tasks
D Levi, L Gispan, N Giladi, E Fetaya
Sensors 22 (15), 5540, 2022
Flood forecasting with machine learning models in an operational framework
S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ...
Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
N Giladi, MS Nacson, E Hoffer, D Soudry
arXiv preprint arXiv:1909.12340, 2019
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
N Giladi, Z Ben-Haim, S Nevo, Y Matias, D Soudry
Advances in Neural Information Processing Systems 34, 1378-1389, 2021
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
N Giladi, S Gottlieb, A Karnieli, R Banner, E Hoffer, KY Levy, D Soudry
Advances in Neural Information Processing Systems 36, 2024
Google’s flood forecasting framework: connecting data, models, risks and people
S Nevo, AG Rosenthal, A Metzger, D Weitzner, E Morin, G Elidan, ...
AGU Fall Meeting 2020, 2020
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