Chang, Paul Edmund

4 publications

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

ICLRW 2025 Inference-Time Prior Adaptation in Simulation-Based Inference via Guided Diffusion Models Paul Edmund Chang, Severi Rissanen, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Luigi Acerbi

ICLR 2024 Function-Space Parameterization of Neural Networks for Sequential Learning Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin

ICML 2023 Memory-Based Dual Gaussian Processes for Sequential Learning Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan