Yizhe Zhu | DeepAI

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∙ 06/09/2023

Spectral gap-based deterministic tensor completion

Tensor completion is a core machine learning algorithm used in recommend...

0 Kameron Decker Harris, et al. ∙

∙ 05/26/2023

Differentially private low-dimensional representation of high-dimensional data

Differentially private synthetic data provide a powerful mechanism to en...

0 Yiyun He, et al. ∙

∙ 04/04/2023

A non-backtracking method for long matrix completion

We consider the problem of rectangular matrix completion in the regime w...

0 Ludovic Stephan, et al. ∙

∙ 02/11/2023

Algorithmically Effective Differentially Private Synthetic Data

We present a highly effective algorithmic approach for generating ε-diff...

0 Yiyun He, et al. ∙

∙ 11/24/2022

Shifted Diffusion for Text-to-image Generation

We present Corgi, a novel method for text-to-image generation. Corgi is ...

0 Yufan Zhou, et al. ∙

∙ 11/20/2022

MagicVideo: Efficient Video Generation With Latent Diffusion Models

We present an efficient text-to-video generation framework based on late...

0 Daquan Zhou, et al. ∙

∙ 09/25/2022

Extreme singular values of inhomogeneous sparse random rectangular matrices

We develop a unified approach to bounding the largest and smallest singu...

0 Ioana Dumitriu, et al. ∙

∙ 06/02/2022

Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches

A common approach for compressing large-scale data is through matrix ske...

0 Anna Ma, et al. ∙

∙ 03/14/2022

Sparse random hypergraphs: Non-backtracking spectra and community detection

We consider the community detection problem in a sparse q-uniform hyperg...

0 Ludovic Stephan, et al. ∙

∙ 12/22/2021

Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model

We consider the community detection problem in sparse random hypergraphs...

6 Ioana Dumitriu, et al. ∙

∙ 01/12/2021

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Training Generative Adversarial Networks (GAN) on high-fidelity images u...

12 Bingchen Liu, et al. ∙

∙ 12/16/2020

Self-Supervised Sketch-to-Image Synthesis

Imagining a colored realistic image from an arbitrarily drawn sketch is ...

30 Bingchen Liu, et al. ∙

∙ 05/27/2020

TIME: Text and Image Mutual-Translation Adversarial Networks

Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...

10 Bingchen Liu, et al. ∙

∙ 05/23/2020

S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation

We propose a sequential variational autoencoder to learn disentangled re...

31 Yizhe Zhu, et al. ∙

∙ 11/20/2019

Sparse random tensors: concentration, regularization and applications

We prove a non-asymptotic concentration inequality of sparse inhomogeneo...

0 Zhixin Zhou, et al. ∙

∙ 11/05/2019

Federated Adversarial Domain Adaptation

Federated learning improves data privacy and efficiency in machine learn...

17 Xingchao Peng, et al. ∙

∙ 10/23/2019

Deterministic tensor completion with hypergraph expanders

We provide a novel analysis of low rank tensor completion based on hyper...

0 Kameron Decker Harris, et al. ∙

∙ 07/12/2019

Eigenvalues of the non-backtracking operator detached from the bulk

We describe the non-backtracking spectrum of a stochastic block model wi...

0 Simon Coste, et al. ∙

∙ 05/26/2019

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

Exploring the potential of GANs for unsupervised disentanglement learnin...

2 Bingchen Liu, et al. ∙

∙ 04/22/2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning

We investigate learning feature-to-feature translator networks by altern...

18 Yizhe Zhu, et al. ∙

∙ 04/11/2019

Community Detection in the Sparse Hypergraph Stochastic Block Model

We consider the community detection problem in sparse random hypergraphs...

0 Soumik Pal, et al. ∙

∙ 03/01/2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Zero-shot learning extends the conventional object classification to the...

6 Yizhe Zhu, et al. ∙

∙ 11/16/2018

Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm

We consider the exact recovery problem in the hypergraph stochastic bloc...

0 Sam Cole, et al. ∙

∙ 08/20/2018

CU-Net: Coupled U-Nets

We design a new connectivity pattern for the U-Net architecture. Given s...

0 Zhiqiang Tang, et al. ∙

∙ 12/04/2017

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts

Most existing zero-shot learning methods consider the problem as a visua...

0 Yizhe Zhu, et al. ∙

∙ 09/04/2017

Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision

In this paper, we study learning visual classifiers from unstructured te...

0 Mohamed Elhoseiny, et al. ∙

∙ 09/04/2017

A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras

The exponentially increasing use of moving platforms for video capture i...

0 Yizhe Zhu, et al. ∙

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