Lars Lorch
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Topic Evolution
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Knowledge & Reasoning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Reasoning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Paradigms
(2)
Application Areas
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
causal discovery
(4)
variational inference
(3)
bayesian inference
(3)
causal inference
(3)
causal structure learning
(2)
graph structure
(1)
gaussian process
(1)
prior knowledge
(1)
reproducing kernel hilbert space
(1)
constraint satisfaction
(1)
distribution shift
(1)
amortized inference
(1)
bayesian network
(1)
inductive bia
(1)
stochastic differential equation
(1)
structural causal model
(1)
bayesian neural network
(1)
causal intervention
(1)
interventional data
(1)
fair machine learning
(1)
Papers
Generative Intervention Models for Causal Perturbation Modeling
ICML 2025
Standardizing Structural Causal Models
ICLR 2025
Causal Modeling with Stationary Diffusions
AISTATS 2024
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
AISTATS 2023
Active Bayesian Causal Inference
NeurIPS 2022
Amortized Inference for Causal Structure Learning
NeurIPS 2022
DiBS: Differentiable Bayesian Structure Learning
NeurIPS 2021
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
NeurIPS 2020