Dominik Linzner
6 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(4)
Venues
Top co-authors
Research topics
Keywords
variational inference
(4)
continuous-time bayesian network
(4)
structure learning
(2)
gradient-based optimization
(1)
markov decision process
(1)
parameter inference
(1)
experimental design
(1)
perturbation theory
(1)
bayesian optimization
(1)
multi-agent planning
(1)
mixture model
(1)
interaction graph
(1)
incomplete data
(1)
gene regulatory network
(1)
structure inference
(1)
design of experiment
(1)
variational perturbation theory
(1)
planning via inference
(1)
latent state estimation
(1)
self-driving laboratory
(1)
Papers
BoFire: Bayesian Optimization Framework Intended for Real Experiments
JMLR 2025
Active Learning of Continuous-time Bayesian Networks through Interventions
ICML 2021
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
AAAI 2020
Continuous Time Bayesian Networks with Clocks
ICML 2020
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NeurIPS 2019
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NeurIPS 2018