7.1k citations · 7.4k across the 6 of their papers we have counts for
7 papers
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci +2
This paper proposes a differentiable linear quadratic Model Predictive Control (MPC) framework for safe imitation learning. The infinite-horizon cost is enforced using a terminal c…
Discovering Boolean Gates in Slime Mould
Simon Harding, Jan Koutnik, Klaus Greff +2
Slime mould of Physarum polycephalum is a large cell exhibiting rich spatial non-linear electrical characteristics. We exploit the electrical properties of the slime mould to imple…
Recurrent Highway Networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník +1
Many sequential processing tasks require complex nonlinear transition functions from one step to the next. However, recurrent neural networks with 'deep' transition functions remai…
Lipreading with Long Short-Term Memory
Michael Wand, Jan Koutník, Jürgen Schmidhuber
Lipreading, i.e. speech recognition from visual-only recordings of a speaker's face, can be achieved with a processing pipeline based solely on neural networks, yielding significan…
LSTM: A Search Space Odyssey
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník +2
Several variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995. In recent years, these networks hav…
A Clockwork RNN
Jan Koutník, Klaus Greff, Faustino Gomez +1
Sequence prediction and classification are ubiquitous and challenging problems in machine learning that can require identifying complex dependencies between temporally distant inpu…
A Frequency-Domain Encoding for Neuroevolution
Jan Koutník, Juergen Schmidhuber, Faustino Gomez
Neuroevolution has yet to scale up to complex reinforcement learning tasks that require large networks. Networks with many inputs (e.g. raw video) imply a very high dimensional sea…