Neta Shoham

11 papers A* 1Misc 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models. CoRR Leah Bar, Liron Mor-Yosef, Shai Zucker, Neta Shoham, Inbar Seroussi, Nir A. Sochen
2025	J	`jnl`	Flatness After All? CoRR Neta Shoham, Liron Mor-Yosef, Haim Avron
2025	J	`jnl`	Unbiased Stochastic Optimization for Gaussian Processes on Finite Dimensional RKHS. CoRR Neta Shoham, Haim Avron
2023	J	`jnl`	Experimental Design for Overparameterized Learning With Application to Single Shot Deep Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. Neta Shoham, Haim Avron
2021	J	`jnl`	An Exploration into why Output Regularization Mitigates Label Noise. CoRR Neta Shoham, Tomer Avidor, Nadav Israel
2021	J	`jnl`	Random Features for the Neural Tangent Kernel. CoRR Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2021	A*	`conf`	Scaling Neural Tangent Kernels via Sketching and Random Features. NeurIPS Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2021	J	`jnl`	Scaling Neural Tangent Kernels via Sketching and Random Features. CoRR Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2020	J	`jnl`	Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active Learning. CoRR Neta Shoham, Haim Avron
2019	Misc	`conf`	Distributed deep neural network training on edge devices. SEC Daniel Benditkis, Aviv Keren, Liron Mor-Yosef, Tomer Avidor, Neta Shoham, Nadav Tal-Israel
2019	J	`jnl`	Overcoming Forgetting in Federated Learning on Non-IID Data. CoRR Neta Shoham, Tomer Avidor, Aviv Keren, Nadav Israel, Daniel Benditkis, Liron Mor-Yosef, Itai Zeitak