Haussmann, Manuel

10 publications

ICLR 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders Siddharth Ramchandran, Manuel Haussmann, Harri Lähdesmäki

TMLR 2025 Latent Mixed-Effect Models for High-Dimensional Longitudinal Data Priscilla Ong, Manuel Haussmann, Otto Lönnroth, Harri Lähdesmäki

TMLR 2025 Overcoming Non-Stationary Dynamics with Evidential Proximal Policy Optimization Abdullah Akgül, Gulcin Baykal, Manuel Haussmann, Melih Kandemir

AISTATS 2024 Estimating Treatment Effects from Single-Arm Trials via Latent-Variable Modeling Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki

ICML 2024 Latent Variable Model for High-Dimensional Point Process with Structured Missingness Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki

ICMLW 2024 Learning High-Dimensional Mixed Models via Amortized Variational Inference Priscilla Ong, Manuel Haussmann, Harri Lähdesmäki

NeurIPS 2023 Practical Equivariances via Relational Conditional Neural Processes Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Luck, Samuel Kaski, Luigi Acerbi

ICLR 2022 Evidential Turing Processes Melih Kandemir, Abdullah Akgül, Manuel Haussmann, Gozde Unal

ICMLW 2021 Understanding Event-Generation Networks via Uncertainties Marco Bellagente, Michel Luchmann, Manuel Haussmann, Tilman Plehn

CVPR 2017 Variational Bayesian Multiple Instance Learning with Gaussian Processes Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir