Giladi, Niv

1. Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
   2019/05/28 by Levi, Dan, Gispan, Liran, Giladi, Niv +1 · 15 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Augment your batch: better training with larger batches
   2019/01/27 by Hoffer, Elad, Ben-Nun, Tal, Hubara, Itay +3 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Flood forecasting with machine learning models in an operational framework
   2021/11/04 by Sella Nevo, Efrat Morin, Nevo, Sella +59 · 2 citations
   Environmental Science · #FOS: Computer and information sciences #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Hydrology and Drought Analysis #Machine Learning (cs.LG)
4. At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
   2019/09/26 by Niv Giladi, Giladi, Niv, Mor Shpigel Nacson +5 · 2 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
5. Tensor-Parallelism with Partially Synchronized Activations
   2025/06/24 by Lamprecht, Itay, Karnieli, Asaf, Hanani, Yair +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)