Wolfgang Stammer
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Deep Learning
(7)
Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
vision-language model
(3)
concept learning
(3)
generalization
(2)
logical reasoning
(2)
visual reasoning
(2)
program synthesis
(2)
concept bottleneck model
(2)
unsupervised learning
(2)
prototype learning
(1)
explanation generation
(1)
curriculum learning
(1)
policy learning
(1)
reinforcement learning
(1)
hierarchical clustering
(1)
interpretable machine learning
(1)
inductive reasoning
(1)
scene understanding
(1)
weak supervision
(1)
visual explanation
(1)
feature attribution
(1)
Papers
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
SLR: Automated Synthesis for Scalable Logical Reasoning
ACL 2026
Synthesizing Visual Concepts as Vision-Language Programs
CVPR 2026
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
ICML 2025
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
AAAI 2025
Where is the Truth? The Risk of Getting Confounded in a Continual World
ICML 2025
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
Learning to Intervene on Concept Bottlenecks
ICML 2024
Neural Concept Binder
NeurIPS 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
UAI 2024
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations
CVPR 2022
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
AAAI 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations
CVPR 2021