Schmon, Sebastian M.
- Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
2022/09/05 by Cannon, Patrick, Ward, Daniel, Schmon, Sebastian M. · 7 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Capturing Label Characteristics in VAEs
2020/06/17 by Tom Joy, Joy, Tom, Sebastian M. Schmon +6 · 2 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Large Sample Asymptotics of the Pseudo-Marginal Method
2018/06/26 by Schmon, Sebastian M., Deligiannidis, George, Doucet, Arnaud +1 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences
- Learning Multimodal VAEs through Mutual Supervision
2021/06/23 by Joy, Tom, Shi, Yuge, Torr, Philip H. S. +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Calibrating Agent-based Models to Microdata with Graph Neural Networks
2022/06/15 by Joel Dyer, Patrick Cannon, Dyer, Joel +5 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques #Complex Network Analysis Techniques
- Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design
2025/07/25 by Latent Labs Team, Bridgland, Alex, Crabbé, Jonathan +13 · 4 citations
#Biomolecules (q-bio.BM) #FOS: Biological sciences