Tomer Michaeli

Orcid: 0000-0003-0525-8054

According to our database1, Tomer Michaeli authored at least 90 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Classification Diffusion Models.
CoRR, 2024

Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion.
CoRR, 2024

Lumiere: A Space-Time Diffusion Model for Video Generation.
CoRR, 2024

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty Visualization via Low-Dimensional Posterior Projections.
CoRR, 2023

The Perception-Robustness Tradeoff in Deterministic Image Restoration.
CoRR, 2023

From Posterior Sampling to Meaningful Diversity in Image Restoration.
CoRR, 2023

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification.
CoRR, 2023

Exact Mean Square Linear Stability Analysis for SGD.
CoRR, 2023

Nested Diffusion Processes for Anytime Image Generation.
CoRR, 2023

GSURE-Based Diffusion Model Training with Corrupted Data.
CoRR, 2023

An Edit Friendly DDPM Noise Space: Inversion and Manipulations.
CoRR, 2023

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models.
CoRR, 2023

Uncertainty Quantification via Neural Posterior Principal Components.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality.
Proceedings of the International Conference on Machine Learning, 2023

SinDDM: A Single Image Denoising Diffusion Model.
Proceedings of the International Conference on Machine Learning, 2023

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Internal Diverse Image Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning.
CoRR, 2022

Energy awareness in low precision neural networks.
CoRR, 2022

Power Awareness in Low Precision Neural Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Beyond Local Processing: Adapting CNNs for CT Reconstruction.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Learning Optimal Wavefront Shaping for Multi-Channel Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

On Information Rates Over a Binary-Input Filtered Gaussian Channel.
IEEE Open J. Commun. Soc., 2021

On information rates over a binary input channel.
CoRR, 2021

The Implicit Bias of Minima Stability: A View from Function Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Self-Dissimilarities as Powerful Visual Fingerprints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Theory of the Distortion-Perception Tradeoff in Wasserstein Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Divergence Learning is a Time Reversal Adversarial Game.
Proceedings of the 9th International Conference on Learning Representations, 2021

GAN "Steerability" without optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Spatially-Adaptive Pixelwise Networks for Fast Image Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

What's in the Image? Explorable Decoding of Compressed Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sparsity Aware Normalization for GANs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy.
CoRR, 2020

Explorable Decoding of Compressed Images.
CoRR, 2020

Unique Properties of Wide Minima in Deep Networks.
CoRR, 2020

Unique Properties of Flat Minima in Deep Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Explorable Super Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
On the Minimal Overcompleteness Allowing Universal Sparse Representation.
IEEE Trans. Inf. Theory, 2019

Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff.
Proceedings of the 36th International Conference on Machine Learning, 2019

Multispectral Reconstruction From Reference Objects in the Scene.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Direct Validation of the Information Bottleneck Principle for Deep Nets.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SinGAN: Learning a Generative Model From a Single Natural Image.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Dense xUnit Networks.
CoRR, 2018

Joint Autoencoders: A Flexible Meta-learning Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Revealing Common Statistical Behaviors in Heterogeneous Populations.
Proceedings of the 35th International Conference on Machine Learning, 2018

The 2018 PIRM Challenge on Perceptual Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multi-Scale Weighted Nuclear Norm Image Restoration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Modifying Non-Local Variations Across Multiple Views.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deformation Aware Image Compression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

xUnit: Learning a Spatial Activation Function for Efficient Image Restoration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Perception-Distortion Tradeoff.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Joint auto-encoders: a flexible multi-task learning framework.
CoRR, 2017

Non-redundant Spectral Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Nonparametric Canonical Correlation Analysis.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Visualizing Image Priors.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Revealing and modifying non-local variations in a single image.
ACM Trans. Graph., 2015

2014
LMMSE Filtering in Feedback Systems With White Random Modes: Application to Tracking in Clutter.
IEEE Trans. Autom. Control., 2014

Simultaneous tracking and data association in an extended maneuvering target using the IMM methodology.
Proceedings of the 17th International Conference on Information Fusion, 2014

Blind Deblurring Using Internal Patch Recurrence.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Nonparametric Blind Super-resolution.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Partially Linear Estimation With Application to Sparse Signal Recovery From Measurement Pairs.
IEEE Trans. Signal Process., 2012

Xampling at the Rate of Innovation.
IEEE Trans. Signal Process., 2012

Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals.
IEEE Trans. Inf. Theory, 2012

Linear Optimal Estimation in Feedback Hybrid Systems with Application to Tracking in Clutter
CoRR, 2012

Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training
CoRR, 2012

Semi-supervised multi-domain regression with distinct training sets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimization-based recovery from rate of innovation samples.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

A unified approach to state estimation problems under data and model uncertainties.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
U-Invariant Sampling: Extrapolation and Causal Interpolation From Generalized Samples.
IEEE Trans. Signal Process., 2011

Hidden Relationships: Bayesian Estimation With Partial Knowledge.
IEEE Trans. Signal Process., 2011

Partially Linear Bayesian Estimation with Application to Sparse Approximations
CoRR, 2011

Causal signal recovery from U-invariant samples.
Proceedings of the IEEE International Conference on Acoustics, 2011

Linear optimal state estimation in systems with independent mode transitions.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Noninvertible gabor transforms.
IEEE Trans. Signal Process., 2010

Nonlinear and Nonideal Sampling Revisited.
IEEE Signal Process. Lett., 2010

A minimax approach to Bayesian estimation with partial knowledge of the observation model.
Proceedings of the IEEE International Conference on Acoustics, 2010

Particle filtering based recovery of noisy GARCH processes.
Proceedings of the IEEE International Conference on Acoustics, 2010

Motion blur removal in nonlinear sensors.
Proceedings of the Computational Imaging VIII, 2010

Optimization techniques in modern sampling theory.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009
High-Rate Interpolation of Random Signals From Nonideal Samples.
IEEE Trans. Signal Process., 2009

Beyond bandlimited sampling.
IEEE Signal Process. Mag., 2009

2008
Beyond Bandlimited Sampling: Nonlinearities, Smoothness and Sparsity
CoRR, 2008

Constrained nonlinear minimum mse estimation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Minimum MSE Estimation with Convex Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2007


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