Yuhang Song

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Predictive Coding

Reinforcement Learning

Associative Memory

Top Venues

Publications

Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. CoRR (2024)
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR (2024)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR (2023)
Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19 (4) (2023)
Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song
A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 53 (3) (2023)
Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. ECAI (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR (2023)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS (2022)
Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
Bird-Eye Transformers for Text Generation Models. CoRR (2022)
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
Predictive Coding beyond Gaussian Distributions. NeurIPS (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR (2022)
Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
Reverse Differentiation via Predictive Coding. AAAI (2022)
Jianyi Wang, Mai Xu, Xin Deng, Liquan Shen, Yuhang Song
MW-GAN+ for Perceptual Quality Enhancement on Compressed Video. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML (2022)
Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI (2022)
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
Predictive Coding beyond Gaussian Distributions. CoRR (2022)
Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution. CVPR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. NeurIPS (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. CoRR (2021)
Jianyi Wang, Mai Xu, Lai Jiang, Yuhang Song
Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360$^{\circ}$ Videos. IEEE Trans. Multim. 23 (2021)
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI (2020)
Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS (2020)
Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. ECCV (14) (2020)
Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. CoRR (2020)
Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI (2020)
Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song
Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. ICASSP (2020)
Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou
Zeroth-Order Supervised Policy Improvement. CoRR (2020)
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI (2019)
Mai Xu, Yuhang Song, Jianyi Wang, Minglang Qiao, Liangyu Huo, Zulin Wang
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR (2019)
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR (2019)
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR (2018)
Yuhang Song, Christopher Grimm, Xianming Wang, Michael L. Littman
Learning Approximate Stochastic Transition Models. CoRR (2017)
Yuhang Song, Mai Xu, Shengxi Li
Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. DCC (2017)
Yuhang Song, Mai Xu, Minglang Qiao, Jianyi Wang, Liangyu Huo, Zulin Wang
Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach. CoRR (2017)
Christopher Grimm, Yuhang Song, Michael L. Littman
Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting. CoRR (2017)
Yuhang Song, Mai Xu, Shengxi Li
Watching Videos with Certain and Constant Quality: PID-based Quality Control Method. CoRR (2017)
Yuhang Song, Mai Xu, Songyang Zhang, Liangyu Huo
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning. CoRR (2017)