Basic Intelligence Lab
The Basic Intelligence Lab (BIL) at Aalto University is dedicated to advancing the fundamental understanding and capabilities of artificial intelligence and machine learning. Our mission is to develop theories, algorithms, and systems that push the boundaries of what intelligent systems can achieve.
At BIL, we combine theoretical insights with practical applications, collaborating across disciplines to ensure our research contributes both to the foundations of AI and its real-world impact.
Our work is positioned at the intersection of machine learning theory, generative modeling, and intelligent systems, striving to understand and build AI that is robust, controllable, and aligned with human needs.
At BIL, we combine theoretical insights with practical applications, collaborating across disciplines to ensure our research contributes both to the foundations of AI and its real-world impact.
Our work is positioned at the intersection of machine learning theory, generative modeling, and intelligent systems, striving to understand and build AI that is robust, controllable, and aligned with human needs.
PI
Postdocs
Phd Students
Yilin Chen
ELLIS PhD student
Co-supervised with Samuel Kaski and Simon Olsson (Chalmers University of Technology).
Research Focus
Our research spans several core areas of AI:
- Next-Generation Generative AI:
- Controllable and adaptive generative models
- Reasoning for self-verification
- Theoretical foundations for compositionality
- generation diversity, and sampling efficiency Applications in scientific discovery, robotics, and other interdisciplinary domains
- Scientific Foundation Models with Human-in-the-Loop
- Trustworthy AI: Robustness, privacy, and security in AI systems
- Transfer Learning: In the context of reinforcement learning and generative models