About
Stephane Deny is an Assistant Professor at Aalto University's Department of Neuroscience and Biomedical Engineering, affiliated with the Computer Science Professors research group. His work bridges computational neuroscience and artificial intelligence.
Research interests focus on:
- Machine learning algorithms for object recognition
- Neuroscience-inspired AI architectures
- Self-supervised learning at scale
- Biomedical engineering applications of neural networks
Recent publications examine the comparative performance of humans and AI in visual perception tasks, with emphasis on deep learning limitations and blockwise training approaches. Collaborators include researchers from computer science and cognitive neuroscience backgrounds.
Key scientific contributions include:
- Advancing self-supervised learning methodologies
- Investigating pose-invariant object recognition
- Developing scalable neural network frameworks
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