publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2024
- JEDCBlack-box Bayesian inference for agent-based modelsJournal of Economic Dynamics and Control, 2024
- Approximate Bayesian Computation with Path SignaturesIn The 40th Conference on Uncertainty in Artificial Intelligence, Spotlight, Best Paper Award , 2024
2022
- CVPRAnoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noiseIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022
- ICLRDenoising diffusion probabilistic models on so (3) for rotational alignmentIn ICLR 2022 Workshop on Geometrical and Topological Representation Learning , 2022
- ICLRLearning Multimodal VAEs through Mutual SupervisionIn International Conference on Learning Representations , 2022
- Investigating the impact of model misspecification in neural simulation-based inferencearXiv preprint arXiv:2209.01845, 2022
- NeuRIPSRobust neural posterior estimation and statistical model criticismAdvances in Neural Information Processing Systems, 2022
- Calibrating agent-based models to microdata with graph neural networksarXiv preprint arXiv:2206.07570, 2022
- Stats & ComputingOptimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptoticsStatistics and Computing, 2022
- AISTATSAmortised likelihood-free inference for expensive time-series simulators with signatured ratio estimationIn International Conference on Artificial Intelligence and Statistics , 2022
- Approximate bayesian computation for panel data with signature maximum mean discrepanciesIn NeurIPS 2022 Temporal Graph Learning Workshop , 2022
2021
- ICLRCapturing Label Characteristics in {VAE}sIn International Conference on Learning Representations , 2021
- BiometrikaLarge-sample asymptotics of the pseudo-marginal methodBiometrika, 2021
- Deep Signature Statistics for Likelihood-free Time-series ModelsIn ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models , 2021
2020
- Neural odes for multi-state survival analysisstat, 2020
- Generalized posteriors in approximate Bayesian computationarXiv preprint arXiv:2011.08644, 2020
- On Monte Carlo methods for intractable latent variable modelsUniversity of Oxford , 2020
2019
- Bernoulli race particle filtersIn The 22nd International Conference on Artificial Intelligence and Statistics , 2019
2017
- JRSS-AEstimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected via measurement errorJournal of the Royal Statistical Society Series A: Statistics in Society, 2017