Ziyu Wang

verfied profile

∙ 0 followers
Google ∙ University of Oxford ∙ The University of British Columbia

Research Scientist at Google

Featured Co-authors

Sergey Levine
246 publications
Jun Zhu
130 publications
Bo Zhang
120 publications
Zheng Zhang
102 publications
Fan Yang
100 publications
Weinan Zhang
93 publications
Le Song
85 publications
Xipeng Qiu
74 publications
Nando de Freitas
72 publications
Nicolas Heess
71 publications
Frank Hutter
70 publications

MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging

Photo-realistic neural reconstruction and rendering of the human portrai...
04/06/2021 ∙ by Ziyu Wang, et al. ∙ 4 ∙ share

read it
Benchmarks for Deep Off-Policy Evaluation

Off-policy evaluation (OPE) holds the promise of being able to leverage ...
03/30/2021 ∙ by Justin Fu, et al. ∙ 13 ∙ share

read it
Regularized Behavior Value Estimation

Offline reinforcement learning restricts the learning process to rely on...
03/17/2021 ∙ by Caglar Gulcehre, et al. ∙ 8 ∙ share

read it
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Cycle-consistent training is widely used for jointly learning a forward ...
12/14/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

read it
Offline Learning from Demonstrations and Unlabeled Experience

Behavior cloning (BC) is often practical for robot learning because it a...
11/27/2020 ∙ by Konrad Zolna, et al. ∙ 6 ∙ share

read it
Further Analysis of Outlier Detection with Deep Generative Models

The recent, counter-intuitive discovery that deep generative models (DGM...
10/25/2020 ∙ by Ziyu Wang, et al. ∙ 6 ∙ share

read it
POP909: A Pop-song Dataset for Music Arrangement Generation

Music arrangement generation is a subtask of automatic music generation,...
08/17/2020 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
Learning Interpretable Representation for Controllable Polyphonic Music Generation

While deep generative models have become the leading methods for algorit...
08/17/2020 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

The dominant approach for music representation learning involves the dee...
08/17/2020 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
Hyperparameter Selection for Offline Reinforcement Learning

Offline reinforcement learning (RL purely from logged data) is an import...
07/17/2020 ∙ by Tom Le Paine, et al. ∙ 30 ∙ share

read it
Critic Regularized Regression

Offline reinforcement learning (RL), also known as batch RL, offers the ...
06/26/2020 ∙ by Ziyu Wang, et al. ∙ 32 ∙ share

read it
RL Unplugged: Benchmarks for Offline Reinforcement Learning

Offline methods for reinforcement learning have the potential to help br...
06/24/2020 ∙ by Caglar Gulcehre, et al. ∙ 10 ∙ share

read it
Acme: A Research Framework for Distributed Reinforcement Learning

Deep reinforcement learning has led to many recent-and groundbreaking-ad...
06/01/2020 ∙ by Matt Hoffman, et al. ∙ 22 ∙ share

read it
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Score matching provides an effective approach to learning flexible unnor...
02/18/2020 ∙ by Ziyu Wang, et al. ∙ 9 ∙ share

read it
Incentive Analysis of Bitcoin-NG, Revisited

Bitcoin-NG is among the first blockchain protocols to approach the near-...
01/14/2020 ∙ by Jianyu Niu, et al. ∙ 0 ∙ share

read it
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

In narrow asymptotic settings Gaussian VAE models of continuous data hav...
12/23/2019 ∙ by Bin Dai, et al. ∙ 7 ∙ share

read it
Task-Relevant Adversarial Imitation Learning

We show that a critical problem in adversarial imitation from high-dimen...
10/02/2019 ∙ by Konrad Zolna, et al. ∙ 35 ∙ share

read it
A Framework for Data-Driven Robotics

We present a framework for data-driven robotics that makes use of a larg...
09/26/2019 ∙ by Serkan Cabi, et al. ∙ 0 ∙ share

read it
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

This paper introduces R2D3, an agent that makes efficient use of demonst...
09/03/2019 ∙ by Tom Le Paine, et al. ∙ 10 ∙ share

read it
Towards a Multi-Chain Future of Proof-of-Space

Proof-of-Space provides an intriguing alternative for consensus protocol...
07/18/2019 ∙ by Shuyang Tang, et al. ∙ 0 ∙ share

read it
Deep Music Analogy Via Latent Representation Disentanglement

Analogy is a key solution to automated music generation, featured by its...
06/09/2019 ∙ by Ruihan Yang, et al. ∙ 8 ∙ share

read it
Function Space Particle Optimization for Bayesian Neural Networks

While Bayesian neural networks (BNNs) have drawn increasing attention, t...
02/26/2019 ∙ by Ziyu Wang, et al. ∙ 24 ∙ share

read it
A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

We contribute a pop-song automation framework for lead melody generation...
12/28/2018 ∙ by Ziyu Wang, et al. ∙ 4 ∙ share

read it
Bayesian Optimization in AlphaGo

During the development of AlphaGo, its many hyper-parameters were tuned ...
12/17/2018 ∙ by Yutian Chen, et al. ∙ 128 ∙ share

read it
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL

Humans are experts at high-fidelity imitation -- closely mimicking a dem...
10/11/2018 ∙ by Tom Le Paine, et al. ∙ 4 ∙ share

read it
Playing hard exploration games by watching YouTube

Deep reinforcement learning methods traditionally struggle with tasks wh...
05/29/2018 ∙ by Yusuf Aytar, et al. ∙ 2 ∙ share

read it
Reinforcement and Imitation Learning for Diverse Visuomotor Skills

We propose a model-free deep reinforcement learning method that leverage...
02/26/2018 ∙ by Yuke Zhu, et al. ∙ 0 ∙ share

read it
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

This paper introduces the Intentional Unintentional (IU) agent. This age...
07/11/2017 ∙ by Serkan Cabi, et al. ∙ 0 ∙ share

read it
Emergence of Locomotion Behaviours in Rich Environments

The reinforcement learning paradigm allows, in principle, for complex be...
07/07/2017 ∙ by Nicolas Heess, et al. ∙ 0 ∙ share

read it
Parallel Multiscale Autoregressive Density Estimation

PixelCNN achieves state-of-the-art results in density estimation for nat...
03/10/2017 ∙ by Scott Reed, et al. ∙ 0 ∙ share

read it
Bayesian Optimisation for Machine Translation

This paper presents novel Bayesian optimisation algorithms for minimum e...
12/22/2014 ∙ by Yishu Miao, et al. ∙ 0 ∙ share

read it
Deep Fried Convnets

The fully connected layers of a deep convolutional neural network typica...
12/22/2014 ∙ by Zichao Yang, et al. ∙ 0 ∙ share

read it
Heteroscedastic Treed Bayesian Optimisation

Optimising black-box functions is important in many disciplines, such as...
10/27/2014 ∙ by John-Alexander M. Assael, et al. ∙ 0 ∙ share

read it
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters

Bayesian optimisation has gained great popularity as a tool for optimisi...
06/30/2014 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
Bayesian Multi-Scale Optimistic Optimization

Bayesian optimization is a powerful global optimization technique for ex...
02/27/2014 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
Bayesian Optimization in a Billion Dimensions via Random Embeddings

Bayesian optimization techniques have been successfully applied to robot...
01/09/2013 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

read it
Self-Avoiding Random Dynamics on Integer Complex Systems

This paper introduces a new specialized algorithm for equilibrium Monte ...
11/23/2011 ∙ by Firas Hamze, et al. ∙ 0 ∙ share

read it
Bayesian Optimization for Adaptive MCMC

This paper proposes a new randomized strategy for adaptive MCMC using Ba...
10/29/2011 ∙ by Nimalan Mahendran, et al. ∙ 0 ∙ share

read it