
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
Coronary artery disease (CAD) is the most common cause of death globally...
read it

Synth2Aug: Crossdomain speaker recognition with TTS synthesized speech
In recent years, TextToSpeech (TTS) has been used as a data augmentati...
read it

Towards transformationresilient provenance detection of digital media
Advancements in deep generative models have made it possible to synthesi...
read it

Largescale multilingual audio visual dubbing
We describe a system for largescale audiovisual translation and dubbing...
read it

Learning Deep Features in Instrumental Variable Regression
Instrumental variable (IV) regression is a standard strategy for learnin...
read it

Sequential Changepoint Detection in Neural Networks with Checkpoints
We introduce a framework for online changepoint detection and simultaneo...
read it

Modular MetaLearning with Shrinkage
Most gradientbased approaches to metalearning do not explicitly accoun...
read it

Bayesian Optimization in AlphaGo
During the development of AlphaGo, its many hyperparameters were tuned ...
read it

Sample Efficient Adaptive TexttoSpeech
We present a metalearning approach for adaptive texttospeech (TTS) wi...
read it

Fewshot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Deep autoregressive models have shown stateoftheart performance in de...
read it

Learning to Learn without Gradient Descent by Gradient Descent
We learn recurrent neural network optimizers trained on simple synthetic...
read it

Herding as a Learning System with EdgeofChaos Dynamics
Herding defines a deterministic dynamical system at the edge of chaos. I...
read it

Scalable Discrete Sampling as a MultiArmed Bandit Problem
Drawing a sample from a discrete distribution is one of the building com...
read it

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Multivariate categorical data occur in many applications of machine lear...
read it

SublinearTime Approximate MCMC Transitions for Probabilistic Programs
Probabilistic programming languages can simplify the development of mach...
read it

Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
In recent years a number of methods have been developed for automaticall...
read it

Austerity in MCMC Land: Cutting the MetropolisHastings Budget
Can we make Bayesian posterior MCMC sampling more efficient when faced w...
read it

Herded Gibbs Sampling
The Gibbs sampler is one of the most popular algorithms for inference in...
read it

SuperSamples from Kernel Herding
We extend the herding algorithm to continuous spaces by using the kernel...
read it
Yutian Chen
is this you? claim profile
Senior Research Scientist at DeepMind. Earned his B.E. of Electronic Engineering from Tsinghua University in China in June 2007. Then I went to the University of California, Irvine in the United States to pursue a doctoral degree.