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Niv Giladi

Flood forecasting with machine learning models in an operational framework
2022 · Sella Nevo, Efrat Morin, et al. · Hydrology and earth system sciences · 267
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
2022 · Dan Levi, Liran Gispan, et al. · Sensors · 170
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Augment Your Batch: Improving Generalization Through Instance Repetition
2020 · Elad Hoffer, Tal Ben-Nun, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 162
Augment your batch: better training with larger batches
2019 · Hoffer, Elad, Ben-Nun, Tal, et al. · arXiv (Cornell University) · 44
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At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
2019 · Giladi, Niv, Nacson, Mor Shpigel, et al. · arXiv (Cornell University) · 7
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Tensor-Parallelism with Partially Synchronized Activations
2025 · Itay Lamprecht, Asaf Karnieli, et al. · neural information processing systems · 1
Supplementary material to "Flood forecasting with machine learning models in an operational framework"
2021 · Sella Nevo, Efrat Morin, et al. · 1
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DropCompute: simple and more robust distributed synchronous training via compute variance reduction
2023 · Niv Giladi, Shahar Gottlieb, et al. · neural information processing systems
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Comment on hess-2021-554
2022 · Nevo, Sella, Morin, Efrat, et al.
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Comment on hess-2021-554
2022 · Nevo, Sella, Morin, Efrat, et al.
Comment on hess-2021-554
2021 · Sella Nevo, Efrat Morin, et al.
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
2021 · Giladi, Niv, Ben-Haim, Zvika, et al. · arXiv (Cornell University)
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Increasing batch size through instance repetition improves generalization
2019 · Elad Hoffer, Tal Ben‐Nun, et al.
Works count: 15
Citation count: 652
H-index: 5
I10-index: 4
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