Schmon, Sebastian M.

14 publications

NeurIPS 2025 PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu, Esther Wershof, Sebastian M Schmon, Marcel Nassar, Błażej Osiński, Ridvan Eksi, Zichao Yan, Rory Stark, Kun Zhang, Thore Graepel

UAI 2024 Approximate Bayesian Computation with Path Signatures Joel Dyer, Patrick Cannon, Sebastian M. Schmon

TMLR 2024 Bayesian Computation Meets Topology Julius von Rohrscheidt, Bastian Rieck, Sebastian M Schmon

NeurIPSW 2024 PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu, Esther Wershof, Sebastian M Schmon, Marcel Nassar, Błażej Osiński, Ridvan Eksi, Kun Zhang, Thore Graepel

AISTATS 2022 Amortised Likelihood-Free Inference for Expensive Time-Series Simulators with Signatured Ratio Estimation Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon

CVPRW 2022 AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models Using Simplex Noise Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks

NeurIPSW 2022 Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies Joel Dyer, John Fitzgerald, Bastian Rieck, Sebastian M Schmon

ICMLW 2022 Calibrating Agent-Based Models to Microdata with Graph Neural Networks Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M Schmon

ICLRW 2022 Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment Adam Leach, Sebastian M Schmon, Matteo T. Degiacomi, Chris G. Willcocks

ICMLW 2022 High Performance Simulation for Scalable Multi-Agent Reinforcement Learning Jordan Langham-Lopez, Sebastian M Schmon, Patrick Cannon

ICLR 2022 Learning Multimodal VAEs Through Mutual Supervision Tom Joy, Yuge Shi, Philip Torr, Tom Rainforth, Sebastian M Schmon, Siddharth N

NeurIPSW 2022 SurviVAEl: Variational Autoencoders for Clustering Time Series Stefan Groha, Alexander Gusev, Sebastian M Schmon

ICMLW 2021 Deep Signature Statistics for Likelihood-Free Time-Series Models Joel Dyer, Patrick W Cannon, Sebastian M Schmon

AISTATS 2019 Bernoulli Race Particle Filters Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis