Manuel Haußmann
4 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (8)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(13)
🚀
Conference Pioneer
Conferences
AISTATS (1)
ICLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
offline reinforcement learning
(1)
variational inference
(1)
bayesian inference
(1)
epistemic uncertainty
(1)
model-based reinforcement learning
(1)
moment matching
(1)
stochastic differential equation
(1)
uncertainty propagation
(1)
pessimistic value iteration
(1)
bellman target
(1)
bayesian neural network
(1)
evidence lower bound
(1)
reparameterization trick
(1)
pac-bayesian theory
(1)
neural network
(1)
deterministic approximation
(1)
sampling-free inference
(1)
variance backpropagation
(1)
probabilistic weight
(1)
deterministic uncertainty propagation
(1)
Papers
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
NIPS 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