Xi Chen

According to our database, Xi Chen authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs.

Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen

CoRR, 2024

2023

Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects.

Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb

IROS, 2023

Self-Supervised Instance Segmentation by Grasping.

Yuxuan Liu, Xi Chen, Pieter Abbeel

IROS, 2023

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN.

Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction.

Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

NeuroCard: One Cardinality Estimator for All Tables.

Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica

Proc. VLDB Endow., 2020

Variable Skipping for Autoregressive Range Density Estimation.

Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Unsupervised Cardinality Estimation.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

Proc. VLDB Endow., 2019

Selectivity Estimation with Deep Likelihood Models.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

CoRR, 2019

Evaluating Protein Transfer Learning with TAPE.

Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.

Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel

Proceedings of the 36th International Conference on Machine Learning, 2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.

Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Some Considerations on Learning to Explore via Meta-Reinforcement Learning.

Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

CoRR, 2018

The Importance of Sampling inMeta-Reinforcement Learning.

Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation.

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Parameter Space Noise for Exploration.

Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

Proceedings of the 6th International Conference on Learning Representations, 2018

A Simple Neural Attentive Meta-Learner.

Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel

Proceedings of the 6th International Conference on Learning Representations, 2018

Meta Learning Shared Hierarchies.

Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman

Proceedings of the 6th International Conference on Learning Representations, 2018

PixelSNAIL: An Improved Autoregressive Generative Model.

Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Safer Classification by Synthesis.

William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel

CoRR, 2017

Equivalence Between Policy Gradients and Soft Q-Learning.

John Schulman, Pieter Abbeel, Xi Chen

CoRR, 2017

Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever

CoRR, 2017

Meta-Learning with Temporal Convolutions.

Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel

CoRR, 2017

A K-fold Method for Baseline Estimation in Policy Gradient Algorithms.

Nithyanand Kota, Abhishek Mishra, Sunil Srinivasa, Xi Chen, Pieter Abbeel

CoRR, 2017

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.

Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma

Proceedings of the 5th International Conference on Learning Representations, 2017

Variational Lossy Autoencoder.

Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks.

Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

CoRR, 2016

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.

Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel

CoRR, 2016

Improved Techniques for Training GANs.

Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improving Variational Autoencoders with Inverse Autoregressive Flow.

Diederik P. Kingma, Tim Salimans, Rafal Józefowicz, Xi Chen, Ilya Sutskever, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

VIME: Variational Information Maximizing Exploration.

Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.

Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Benchmarking Deep Reinforcement Learning for Continuous Control.

Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing.

Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek

Proceedings of the 32nd International Conference on Machine Learning, 2015