Paul E. Chang - RankMe

15 papers A* 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Autoregressive Inference for Transformer Probabilistic Models. CoRR Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
2025	J	`jnl`	Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report. CoRR Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul E. Chang
2025	J	`jnl`	PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference. CoRR Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi
2024	J	`jnl`	Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. CoRR Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2024	J	`jnl`	Function-space Parameterization of Neural Networks for Sequential Learning. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	—	`—`	Rethinking Inference in Gaussian Processes: A Dual Parameterization Approach. Paul E. Chang
2023	J	`jnl`	Memory-Based Dual Gaussian Processes for Sequential Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
2023	J	`jnl`	Sparse Function-space Representation of Neural Networks. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2022	J	`jnl`	Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin
2021	A*	`conf`	Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2021	J	`jnl`	Dual Parameterization of Sparse Variational Gaussian Processes. CoRR Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2020	—	`conf`	Fast Variational Learning in State-Space Gaussian Process Models. MLSP Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
2020	J	`jnl`	Fast Variational Learning in State-Space Gaussian Process Models. CoRR Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
2020	A*	`conf`	State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
2020	J	`jnl`	State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin