Search Results for author: Henry Li

Found 9 papers, 6 papers with code

Exponential weight averaging as damped harmonic motion

no code implementations20 Oct 2023 Jonathan Patsenker, Henry Li, Yuval Kluger

The exponential moving average (EMA) is a commonly used statistic for providing stable estimates of stochastic quantities in deep learning optimization.

Anomaly Detection with Variance Stabilized Density Estimation

1 code implementation1 Jun 2023 Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum

Then, we present a variance-stabilized density estimation problem for maximizing the likelihood of the observed samples while minimizing the variance of the density around normal samples.

Anomaly Detection Density Estimation

Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation

no code implementations19 Oct 2022 Henry Li, Yuval Kluger

We introduce a simple modification to the standard maximum likelihood estimation (MLE) framework.

Neural Inverse Transform Sampler

1 code implementation22 Jun 2022 Henry Li, Yuval Kluger

Any explicit functional representation $f$ of a density is hampered by two main obstacles when we wish to use it as a generative model: designing $f$ so that sampling is fast, and estimating $Z = \int f$ so that $Z^{-1}f$ integrates to 1.

Density Estimation

Support Recovery with Stochastic Gates: Theory and Application for Linear Models

1 code implementation29 Oct 2021 Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum

Consider the problem of simultaneous estimation and support recovery of the coefficient vector in a linear data model with additive Gaussian noise.

Practical Phase Retrieval: Low-Photon Holography with Untrained Priors

no code implementations1 Jan 2021 Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié

To the best of our knowledge, this is the first work to consider a dataset-free machine learning approach for holographic phase retrieval.


Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging

1 code implementation14 Dec 2020 Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié

Phase retrieval is the inverse problem of recovering a signal from magnitude-only Fourier measurements, and underlies numerous imaging modalities, such as Coherent Diffraction Imaging (CDI).


Variational Diffusion Autoencoders with Random Walk Sampling

1 code implementation ECCV 2020 Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger

Variational autoencoders (VAEs) and generative adversarial networks (GANs) enjoy an intuitive connection to manifold learning: in training the decoder/generator is optimized to approximate a homeomorphism between the data distribution and the sampling space.


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