101 citations · 276 across the 27 of their papers we have counts for
6 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…
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
Physical simulators have been widely used in robot planning and control. Among them, differentiable simulators are particularly favored, as they can be incorporated into gradient-b…
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…
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski +2
We present an efficient coresets-based neural network compression algorithm that sparsifies the parameters of a trained fully-connected neural network in a manner that provably app…
A General Pipeline for 3D Detection of Vehicles
Xinxin Du, Marcelo H. Ang, Sertac Karaman +1
Autonomous driving requires 3D perception of vehicles and other objects in the in environment. Much of the current methods support 2D vehicle detection. This paper proposes a flexi…