Yuhang Song - RankMe

47 papers A* 14A 1B 1Misc 1Journal 28Unranked 1

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