Manuel Haußmann
4 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Models
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
unsupervised learning
(1)
offline reinforcement learning
(1)
variational inference
(1)
bayesian inference
(1)
epistemic uncertainty
(1)
model-based reinforcement learning
(1)
calcium imaging
(1)
moment matching
(1)
variational autoencoder
(1)
stochastic differential equation
(1)
uncertainty propagation
(1)
pessimistic value iteration
(1)
bellman target
(1)
bayesian neural network
(1)
discrete latent variable
(1)
evidence lower bound
(1)
reparameterization trick
(1)
pac-bayesian theory
(1)
neural network
(1)
motif detection
(1)
Papers
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
NeurIPS 2024
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
AISTATS 2021
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
ICLR 2019
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
UAI 2019