Tomer Michaeli

research

∙ 06/30/2023

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks

We study the type of solutions to which stochastic gradient descent conv...

0 Mor Shpigel Nacson, et al. ∙

research

∙ 06/13/2023

Exact Mean Square Linear Stability Analysis for SGD

The dynamical stability of optimization methods at the vicinity of minim...

0 Rotem Mulayoff, et al. ∙

research

∙ 06/04/2023

Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint

Many practical settings call for the reconstruction of temporal signals ...

0 Dror Freirich, et al. ∙

research

∙ 06/04/2023

Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration

We propose an image restoration algorithm that can control the perceptua...

0 Theo Adrai, et al. ∙

research

∙ 05/30/2023

Nested Diffusion Processes for Anytime Image Generation

Diffusion models are the current state-of-the-art in image generation, s...

0 Noam Elata, et al. ∙

research

∙ 05/22/2023

GSURE-Based Diffusion Model Training with Corrupted Data

Diffusion models have demonstrated impressive results in both data gener...

0 Bahjat Kawar, et al. ∙

research

∙ 04/12/2023

An Edit Friendly DDPM Noise Space: Inversion and Manipulations

Denoising diffusion probabilistic models (DDPMs) employ a sequence of wh...

0 Inbar Huberman-Spiegelglas, et al. ∙

research

∙ 03/20/2023

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

Denoising Diffusion Models (DDMs) have emerged as a strong competitor to...

0 René Haas, et al. ∙

research

∙ 03/14/2023

Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

Although CNNs are believed to be invariant to translations, recent works...

0 Hagay Michaeli, et al. ∙

research

∙ 12/18/2022

Internal Diverse Image Completion

Image completion is widely used in photo restoration and editing applica...

0 Noa Alkobi, et al. ∙

research

∙ 12/03/2022

BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning

Training a generative model on a single image has drawn significant atte...

0 Idan Kligvasser, et al. ∙

research

∙ 11/29/2022

SinDDM: A Single Image Denoising Diffusion Model

Denoising diffusion models (DDMs) have led to staggering performance lea...

0 Vladimir Kulikov, et al. ∙

research

∙ 11/16/2022

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Stochastic restoration algorithms allow to explore the space of solution...

0 Guy Ohayon, et al. ∙

research

∙ 02/06/2022

Energy awareness in low precision neural networks

Power consumption is a major obstacle in the deployment of deep neural n...

0 Nurit Spingarn-Eliezer, et al. ∙

research

∙ 07/06/2021

A Theory of the Distortion-Perception Tradeoff in Wasserstein Space

The lower the distortion of an estimator, the more the distribution of i...

0 Dror Freirich, et al. ∙

research

∙ 06/11/2021

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

Models for audio generation are typically trained on hours of recordings...

0 Gal Greshler, et al. ∙

research

∙ 05/13/2021

On information rates over a binary input channel

We study communication systems over band-limited Additive White Gaussian...

0 Michael Peleg, et al. ∙

research

∙ 03/03/2021

Sparsity Aware Normalization for GANs

Generative adversarial networks (GANs) are known to benefit from regular...

12 Idan Kligvasser, et al. ∙

research

∙ 12/09/2020

GAN Steerability without optimization

Recent research has shown remarkable success in revealing "steering" dir...

0 Nurit Spingarn-Eliezer, et al. ∙

research

∙ 12/06/2020

Contrastive Divergence Learning is a Time Reversal Adversarial Game

Contrastive divergence (CD) learning is a classical method for fitting u...

0 Omer Yair, et al. ∙

research

∙ 12/05/2020

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

We introduce a new generator architecture, aimed at fast and efficient h...

0 Tamar Rott Shaham, et al. ∙

research

∙ 09/29/2020

Learning an optimal PSF-pair for ultra-dense 3D localization microscopy

A long-standing challenge in multiple-particle-tracking is the accurate ...

2 Elias Nehme, et al. ∙

research

∙ 06/16/2020

Explorable Decoding of Compressed Images

The ever-growing amounts of visual contents captured on a daily basis ne...

0 Yuval Bahat, et al. ∙

research

∙ 02/11/2020

Unique Properties of Wide Minima in Deep Networks

It is well known that (stochastic) gradient descent has an implicit bias...

0 Rotem Mulayoff, et al. ∙

research

∙ 12/04/2019

Explorable Super Resolution

Single image super resolution (SR) has seen major performance leaps in r...

22 Yuval Bahat, et al. ∙

research

∙ 05/02/2019

SinGAN: Learning a Generative Model from a Single Natural Image

We introduce SinGAN, an unconditional generative model that can be learn...

0 Tamar Rott Shaham, et al. ∙

research

∙ 01/23/2019

Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff

Lossy compression algorithms are typically designed and analyzed through...

0 Yochai Blau, et al. ∙

research

∙ 11/27/2018

Dense xUnit Networks

Deep net architectures have constantly evolved over the past few years, ...

0 Idan Kligvasser, et al. ∙

research

∙ 09/20/2018

2018 PIRM Challenge on Perceptual Image Super-resolution

This paper reports on the 2018 PIRM challenge on perceptual super-resolu...

0 Yochai Blau, et al. ∙

research

∙ 04/13/2018

On the Minimal Overcompleteness Allowing Universal Sparse Representation

Sparse representation over redundant dictionaries constitutes a good mod...

0 Rotem Mulayoff, et al. ∙

research

∙ 04/12/2018

Deformation Aware Image Compression

Lossy compression algorithms aim to compactly encode images in a way whi...

0 Tamar Rott Shaham, et al. ∙

research

∙ 11/17/2017

xUnit: Learning a Spatial Activation Function for Efficient Image Restoration

In recent years, deep neural networks (DNNs) achieved unprecedented perf...

0 Idan Kligvasser, et al. ∙

research

∙ 11/16/2017

The Perception-Distortion Tradeoff

Image restoration algorithms are typically evaluated by some distortion ...

0 Yochai Blau, et al. ∙

research

∙ 05/30/2017

Joint auto-encoders: a flexible multi-task learning framework

The incorporation of prior knowledge into learning is essential in achie...

0 Baruch Epstein. Ron Meir, et al. ∙

research

∙ 11/16/2015

Nonparametric Canonical Correlation Analysis

Canonical correlation analysis (CCA) is a classical representation learn...

0 Tomer Michaeli, et al. ∙

research

∙ 03/20/2012

Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training

We address the problems of multi-domain and single-domain regression bas...

0 Tomer Michaeli, et al. ∙

Tomer Michaeli

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