Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
–Neural Information Processing Systems
Our environment is riddled with sensory stimuli that are noisy, ambiguous, and often incomplete, necessitating organisms to handle uncertainty in their sensory observations.
Neural Information Processing Systems
Feb-11-2026, 04:43:08 GMT
- Country:
- Europe
- Germany
- Baden-Württemberg > Tübingen Region
- Tübingen (0.04)
- Lower Saxony > Gottingen (0.14)
- Baden-Württemberg > Tübingen Region
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Germany
- North America > United States
- Washington > King County > Seattle (0.04)
- South America > Chile
- Europe
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science (0.69)
- Machine Learning
- Learning Graphical Models (0.68)
- Neural Networks > Deep Learning (1.00)
- Representation & Reasoning > Uncertainty (1.00)
- Vision (0.68)
- Information Technology > Artificial Intelligence