Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems


Oct 04, 2022
Muhammad Umar B. Niazi, John Cao, Xudong Sun, Amritam Das, Karl Henrik Johansson

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization


Feb 22, 2021
Xudong Sun, Florian Buettner

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision


Jan 23, 2021
Xudong Sun, Florian Buettner

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

More Industry-friendly: Federated Learning with High Efficient Design


Dec 16, 2020
Dingwei Li, Qinglong Chang, Lixue Pang, Yanfang Zhang, Xudong Sun, Jikun Ding, Liang Zhang

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Grid-GCN for Fast and Scalable Point Cloud Learning


Dec 20, 2019
Qiangeng Xu, Xudong Sun, Cho-ying Wu, Panqu Wang, Ulrich Neumann

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Benchmarking time series classification -- Functional data vs machine learning approaches


Nov 18, 2019
Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning


Oct 04, 2019
Xudong Sun, Bernd Bischl

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks


Jun 07, 2019
Xudong Sun, Yu Wang, Alexej Gossmann, Bernd Bischl

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning


May 28, 2019
Rui Zhao, Xudong Sun, Volker Tresp

Add code

* PMLR 97:7553-7562, 2019 
* Published in International Conference on Machine Learning (ICML 2019), Long Beach, USA. arXiv admin note: text overlap with arXiv:1902.08039 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>