Ralph Linsker

14 papers B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2014 J jnl
A Fully Pipelined FPGA Architecture of a Factored Restricted Boltzmann Machine Artificial Neural Network.
ACM Trans. Reconfigurable Technol. Syst.
Lok-Won Kim, Sameh W. Asaad, Ralph Linsker
2009 B conf
Neural learning of Kalman filtering, Kalman control, and system identification.
IJCNN
Ralph Linsker
2008 J jnl
Neural network learning of optimal Kalman prediction and control
CoRR
Ralph Linsker
2008 J jnl
Neural network learning of optimal Kalman prediction and control.
Neural Networks
Ralph Linsker
2005 J jnl
Improved local learning rule for information maximization and related applications.
Neural Networks
Ralph Linsker
2004 — conf
Improving Network Robustness.
ICAC
Alina Beygelzimer, Geoffrey Grinstein, Ralph Linsker, Irina Rish
1997 J jnl
A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions.
Neural Comput.
Ralph Linsker
1992 — conf
Deriving Receptive Fields Using an Optimal Encoding Criterion.
NIPS
Ralph Linsker
1992 J jnl
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network.
Neural Comput.
Ralph Linsker
1989 J jnl
How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output Signals.
Neural Comput.
Ralph Linsker
1988 — conf
An Application of the Principle of Maximum Information Preservation to Linear Systems.
NIPS
Ralph Linsker
1988 J jnl
Self-Organization in a Perceptual Network.
Computer
Ralph Linsker
1987 — conf
Towards an Organizing Principle for a Layered Perceptual Network.
NIPS
Ralph Linsker
1984 J jnl
An Iterative-Improvement Penalty-Function-Driven Wire Routing System.
IBM J. Res. Dev.
Ralph Linsker