Niv Haim | DeepAI

DeepAI AI Chat

Featured Co-authors

Ohad Shamir
76 publications
Haggai Maron
30 publications
Yaron Lipman
30 publications
Tali Dekel
26 publications
Michal Irani
26 publications
Gal Vardi
25 publications
Shai Bagon
17 publications
Gilad Yehudai
15 publications
Assaf Shocher
12 publications
Nimrod Segol
7 publications
Ben Feinstein
5 publications

∙ 07/04/2023

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses

Memorization of training data is an active research area, yet our unders...

0 Gon Buzaglo, et al. ∙

∙ 05/05/2023

Reconstructing Training Data from Multiclass Neural Networks

Reconstructing samples from the training set of trained neural networks ...

0 Gon Buzaglo, et al. ∙

∙ 11/21/2022

SinFusion: Training Diffusion Models on a Single Image or Video

Diffusion models exhibited tremendous progress in image and video genera...

0 Yaniv Nikankin, et al. ∙

∙ 06/15/2022

Reconstructing Training Data from Trained Neural Networks

Understanding to what extent neural networks memorize training data is a...

159 Niv Haim, et al. ∙

∙ 05/11/2022

Diverse Video Generation from a Single Video

GANs are able to perform generation and manipulation tasks, trained on a...

18 Niv Haim, et al. ∙

∙ 09/17/2021

Diverse Generation from a Single Video Made Possible

Most advanced video generation and manipulation methods train on a large...

6 Niv Haim, et al. ∙

∙ 06/19/2020

From Discrete to Continuous Convolution Layers

A basic operation in Convolutional Neural Networks (CNNs) is spatial res...

0 Assaf Shocher, et al. ∙

∙ 05/28/2019

Controlling Neural Level Sets

The level sets of neural networks represent fundamental properties such ...

0 Matan Atzmon, et al. ∙

∙ 12/27/2018

Surface Networks via General Covers

Developing deep learning techniques for geometric data is an active and ...

6 Niv Haim, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world