Manuel Schürch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Gaussian Process

Discriminative Learning Framework

Machine Learning

Generative Model

Top Venues

Publications

Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, EUSTAR collaborators
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis. CoRR (2024)
Xiaochen Zheng, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Ahmed Allam, Jan Bartussek, Michael Krauthammer
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes. CoRR (2024)
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
Simple Contrastive Representation Learning for Time Series Forecasting. ICASSP (2024)
Manuel Schürch, Laura Boos, Viola Heinzelmann-Schwarz, Gabriele Gut, Michael Krauthammer, Andreas Wicki, Tumor Profiler Consortium
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data. CoRR (2024)
Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer, the EUSTAR collaborators
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes. CoRR (2023)
Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series. CoRR (2023)
Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Rathmes, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models. CoRR (2023)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112 (5) (2023)
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting. CoRR (2023)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR (2021)
Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli
Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) (2021)
Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
Orthogonally Decoupled Variational Fourier Features. CoRR (2020)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive estimation for sparse Gaussian process regression. Autom. 120 (2020)
Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
Recursive Estimation for Sparse Gaussian Process Regression. CoRR (2019)