25 citations · 56 across the 13 of their papers we have counts for
4 papers · 1 filter
Liquid Time-constant Recurrent Neural Networks as Universal Approximators
Ramin M. Hasani, Mathias Lechner, Alexander Amini +2
In this paper, we introduce the notion of liquid time-constant (LTC) recurrent neural networks (RNN)s, a subclass of continuous-time RNNs, with varying neuronal time-constant reali…
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
Ramin M. Hasani, Alexander Amini, Mathias Lechner +3
In this paper, we introduce a novel method to interpret recurrent neural networks (RNNs), particularly long short-term memory networks (LSTMs) at the cellular level. We propose a s…
Can a Compact Neuronal Circuit Policy be Re-purposed to Learn Simple Robotic Control?
Ramin Hasani, Mathias Lechner, Alexander Amini +2
We propose a neural information processing system which is obtained by re-purposing the function of a biological neural circuit model, to govern simulated and real-world control ta…
Neuronal Circuit Policies
Mathias Lechner, Ramin M. Hasani, Radu Grosu
We propose an effective way to create interpretable control agents, by re-purposing the function of a biological neural circuit model, to govern simulated and real world reinforcem…