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Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis

Dec 29, 2020
Yutian Chen, Xiaowei Xu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Yuhao Dong, Qianjun Jia, Meiping Huang

* 9 pages, 9 figures 

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Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech

Nov 24, 2020
Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang


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Towards transformation-resilient provenance detection of digital media

Nov 14, 2020
Jamie Hayes, Krishnamurthy, Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande


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Large-scale multilingual audio visual dubbing

Nov 06, 2020
Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

* 26 pages, 8 figures 

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Learning Deep Features in Instrumental Variable Regression

Nov 01, 2020
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton


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Sequential Changepoint Detection in Neural Networks with Checkpoints

Oct 06, 2020
Michalis K. Titsias, Jakub Sygnowski, Yutian Chen

* 17 pages, 7 figures 

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Modular Meta-Learning with Shrinkage

Sep 12, 2019
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas

* 14 pages (4 main, 8 supplement), under review 

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Bayesian Optimization in AlphaGo

Dec 17, 2018
Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas


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Sample Efficient Adaptive Text-to-Speech

Sep 27, 2018
Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas


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Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions

Feb 28, 2018
Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals, Nando de Freitas


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Learning to Learn without Gradient Descent by Gradient Descent

Jun 12, 2017
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando de Freitas

* Accepted by ICML 2017. Previous version "Learning to Learn for Global Optimization of Black Box Functions" was published in the Deep Reinforcement Learning Workshop, NIPS 2016 

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Scalable Discrete Sampling as a Multi-Armed Bandit Problem

Apr 27, 2016
Yutian Chen, Zoubin Ghahramani


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Herding as a Learning System with Edge-of-Chaos Dynamics

Mar 01, 2016
Yutian Chen, Max Welling


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Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs

Mar 09, 2015
Yutian Chen, Vikash Mansinghka, Zoubin Ghahramani


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Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data

Mar 07, 2015
Yarin Gal, Yutian Chen, Zoubin Ghahramani

* 11 pages, 6 figures 

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Variational Gaussian Process State-Space Models

Nov 03, 2014
Roger Frigola, Yutian Chen, Carl E. Rasmussen

* R. Frigola, Y. Chen and C. E. Rasmussen. Variational Gaussian Process State-Space Models, in Advances in Neural Information Processing Systems (NIPS), 2014 

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Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior

Aug 09, 2014
Yutian Chen, Max Welling

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Feb 14, 2014
Anoop Korattikara, Yutian Chen, Max Welling

* v4 - version accepted by ICML2014 

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Herded Gibbs Sampling

Mar 16, 2013
Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling

* 19 pages, including the appendix. Submission for ICLR 2013 

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Super-Samples from Kernel Herding

Mar 15, 2012
Yutian Chen, Max Welling, Alex Smola

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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