Hava T Siegelmann

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control

Bridging Expressivity and Scalability with Adaptive Unitary SSMs

Optimizing Neural Network Representations of Boolean Networks

Exponential Dynamic Energy Network for High Capacity Sequence Memory

Achieving Precise Control with Slow Hardware: Model-Based Reinforcement Learning for Action Sequence Learning

Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks

On the Dynamics of Learning Time-Aware Behavior with RNNs