Yuhang Song
Orcid: 0000-0002-7999-0291Affiliations:
- University of Oxford, Department of Computer Science, Oxford, UK
- Brown University, Department of Computer Science, Providence, RI, USA (2017-2018)
- Beihang University, Department of Electronic Information Engineering, Beijing, China (2014-2018)
According to our database1,
Yuhang Song
authored at least 35 papers
between 2017 and 2023.
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Bibliography
2023
A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Recurrent predictive coding models for associative memory employing covariance learning.
PLoS Comput. Biol., 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
PhD thesis, 2021
Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360$^{\circ}$ Videos.
IEEE Trans. Multim., 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
CoRR, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
CoRR, 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning.
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 Data Compression Conference, 2017