Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing. - Runkai Zheng; Yinqi Zhang; Daolang Huang; Qingliang Chen (ECCV (9), 2020)

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. - Daolang Huang; Louis Filstroff; Petrus Mikkola; Runkai Zheng; Samuel Kaski (CoRR, 2022)

Learning Robust Statistics for Simulation-based Inference under Model Misspecification. - Daolang Huang; Ayush Bharti; Amauri H. Souza; Luigi Acerbi; Samuel Kaski (NeurIPS, 2023)

Practical Equivariances via Relational Conditional Neural Processes. - Daolang Huang; Manuel Haussmann; Ulpu Remes; St John; Grégoire Clarté; Kevin Sebastian Luck; Samuel Kaski; Luigi Acerbi (NeurIPS, 2023)

Practical Equivariances via Relational Conditional Neural Processes. - Daolang Huang; Manuel Haussmann; Ulpu Remes; S. T. John; Grégoire Clarté; Kevin Sebastian Luck; Samuel Kaski; Luigi Acerbi (CoRR, 2023)

Amortized Bayesian Experimental Design for Decision-Making. - Daolang Huang; Yujia Guo; Luigi Acerbi; Samuel Kaski (NeurIPS, 2024)

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. - Paul E. Chang; Nasrulloh Loka; Daolang Huang; Ulpu Remes; Samuel Kaski; Luigi Acerbi (CoRR, 2024)

Cost-aware simulation-based inference. - Ayush Bharti; Daolang Huang; Samuel Kaski; François-Xavier Briol (AISTATS, 2025)

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. - Paul Edmund Chang; Nasrulloh Ratu Bagus Satrio Loka; Daolang Huang; Ulpu Remes; Samuel Kaski; Luigi Acerbi (AISTATS, 2025)

PABBO: Preferential Amortized Black-Box Optimization. - Xinyu Zhang; Daolang Huang; Samuel Kaski; Julien Martinelli (ICLR, 2025)

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition. - Daolang Huang; Xinyi Wen; Ayush Bharti; Samuel Kaski; Luigi Acerbi (CoRR, 2025)