Manuel Haussmann
7 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Topic Evolution
Top co-authors
Research topics
Artificial Intelligence
(6)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Deep Learning
(4)
Machine Learning
(4)
Learning Types · Machine Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Clinical
(1)
Core AI
(1)
Keywords
gaussian process
(2)
variational autoencoder
(2)
uncertainty quantification
(2)
variational inference
(2)
latent variable model
(2)
gaussian processes
(1)
weakly supervised learning
(1)
multiple instance learning
(1)
point process
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
amortized inference
(1)
acquisition function
(1)
surrogate model
(1)
out-of-distribution detection
(1)
latent space
(1)
treatment effect estimation
(1)
bayesian neural network
(1)
policy network
(1)
electronic health record
(1)
Papers
High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
ICLR 2025
Estimating treatment effects from single-arm trials via latent-variable modeling
AISTATS 2024
Latent variable model for high-dimensional point process with structured missingness
ICML 2024
Practical Equivariances via Relational Conditional Neural Processes
NeurIPS 2023
Evidential Turing Processes
ICLR 2022
Deep Active Learning with Adaptive Acquisition
IJCAI 2019
Variational Bayesian Multiple Instance Learning With Gaussian Processes
CVPR 2017