Daolang Huang

According to our database, Daolang Huang authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 2024

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

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.

Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski

CoRR, 2022

2020

Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing.

Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen

Proceedings of the Computer Vision - ECCV 2020, 2020