Stephan Zheng
Stephan Zheng
Lead Research Scientist, Salesforce Research
E-mailová adresa ověřena na: - Domovská stránka
Improving the robustness of deep neural networks via stability training
S Zheng, Y Song, T Leung, I Goodfellow
Proceedings of the ieee conference on computer vision and pattern …, 2016
Long-term forecasting using tensor-train rnns
R Yu, S Zheng, A Anandkumar, Y Yue
Arxiv, 2017
Novel deep learning methods for track reconstruction
S Farrell, P Calafiura, M Mudigonda, D Anderson, JR Vlimant, S Zheng, ...
arXiv preprint arXiv:1810.06111, 2018
The ai economist: Improving equality and productivity with ai-driven tax policies
S Zheng, A Trott, S Srinivasa, N Naik, M Gruesbeck, DC Parkes, R Socher
arXiv preprint arXiv:2004.13332, 2020
Generating long-term trajectories using deep hierarchical networks
S Zheng, Y Yue, J Hobbs
Advances in Neural Information Processing Systems 29, 2016
Naomi: Non-autoregressive multiresolution sequence imputation
Y Liu, R Yu, S Zheng, E Zhan, Y Yue
Advances in neural information processing systems 32, 2019
Robustness gym: Unifying the nlp evaluation landscape
K Goel, N Rajani, J Vig, S Tan, J Wu, S Zheng, C Xiong, M Bansal, C Ré
arXiv preprint arXiv:2101.04840, 2021
Keeping your distance: Solving sparse reward tasks using self-balancing shaped rewards
A Trott, S Zheng, C Xiong, R Socher
Advances in Neural Information Processing Systems 32, 2019
Generating multi-agent trajectories using programmatic weak supervision
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv preprint arXiv:1803.07612, 2018
Long-term forecasting using higher order tensor RNNs
R Yu, S Zheng, A Anandkumar, Y Yue
arXiv preprint arXiv:1711.00073, 2017
The HEP. TrkX Project: deep neural networks for HL-LHC online and offline tracking
S Farrell, D Anderson, P Calafiura, G Cerati, L Gray, J Kowalkowski, ...
EPJ Web of Conferences 150, 00003, 2017
Generative multi-agent behavioral cloning
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv, 2018
The HEP. TrkX project: Deep learning for particle tracking
A Tsaris, D Anderson, J Bendavid, P Calafiura, G Cerati, J Esseiva, ...
Journal of Physics: Conference Series 1085 (4), 042023, 2018
Fine-grained retrieval of sports plays using tree-based alignment of trajectories
L Sha, P Lucey, S Zheng, T Kim, Y Yue, S Sridharan
arXiv preprint arXiv:1710.02255, 2017
On the generalization gap in reparameterizable reinforcement learning
H Wang, S Zheng, C Xiong, R Socher
International Conference on Machine Learning, 6648-6658, 2019
Detecting adversarial examples via neural fingerprinting
S Dathathri, S Zheng, T Yin, RM Murray, Y Yue
arXiv preprint arXiv:1803.03870, 2018
Learning chaotic dynamics using tensor recurrent neural networks
R Yu, S Zheng, Y Liu
Proceedings of the ICML 17, 2017
Screening of heterogeneous surfaces: charge renormalization of Janus particles
N Boon, EC Gallardo, S Zheng, E Eggen, M Dijkstra, R Van Roij
Journal of Physics: Condensed Matter 22 (10), 104104, 2010
Learning world graphs to accelerate hierarchical reinforcement learning
W Shang, A Trott, S Zheng, C Xiong, R Socher
arXiv preprint arXiv:1907.00664, 2019
Simulation intelligence: Towards a new generation of scientific methods
A Lavin, H Zenil, B Paige, D Krakauer, J Gottschlich, T Mattson, ...
arXiv preprint arXiv:2112.03235, 2021
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