Sebastian M. Schmon

Orcid: 0000-0002-1513-1439

According to our database1, Sebastian M. Schmon authored at least 14 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics.
Stat. Comput., 2022

Investigating the Impact of Model Misspecification in Neural Simulation-based Inference.
CoRR, 2022

High Performance Simulation for Scalable Multi-Agent Reinforcement Learning.
CoRR, 2022

Calibrating Agent-based Models to Microdata with Graph Neural Networks.
CoRR, 2022

Black-box Bayesian inference for economic agent-based models.
CoRR, 2022

Robust Neural Posterior Estimation and Statistical Model Criticism.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Multimodal VAEs through Mutual Supervision.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Capturing Label Characteristics in VAEs.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Rethinking Semi-Supervised Learning in VAEs.
CoRR, 2020

Neural ODEs for Multi-State Survival Analysis.
CoRR, 2020

2019
Implicit Priors for Knowledge Sharing in Bayesian Neural Networks.
CoRR, 2019

Bernoulli Race Particle Filters.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019


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