Pop-Up Restaurant for Inverse Reinforcement Learning
Probabilistic Machine Learning for Modeling Complex Causal Mechanisms
Computational data abstraction for modeling multi-scale systems
A novel computational abstraction that extends traditional grammars used in automata theory and linguistics.
Syntactic Analysis of Complex Systems
An unsupervised learning algorithm that extracts high-level, complex abstractions from time-series data through a hierarchical learning process.
Cellular Event Prediction
Computer Vision framework for temporal analysis of cellular morphology.
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