Who Cited It

Reservoir computing approaches to recurrent neural network training

2009 · Computer Science Review · 2,992 citations · 3 from inside this corpus

Mantas Lukoševičius, Herbert Jaeger

No abstract in the source record.

Reservoir computing approaches to recurrent neural network training (2009)Reservoir computing approache…Long Short-Term Memory (1997)Long Short-Term MemoryAdaptation in Natural and Artificial Systems (1992)Adaptation in Natural and Art…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Advances in Neural Information Processing Systems 19 (2007)Advances in Neural Informatio…Advances in neural information processing systems 7 (1996)Advances in neural informatio…Advances in Neural Information Processing Systems 14 (2002)Advances in Neural Informatio…Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Learning to Forget: Continual Prediction with LSTM (2000)Learning to Forget: Continual…Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…A Learning Algorithm for Continually Running Fully Recurrent Neural Networks (1989)A Learning Algorithm for Cont…Real-Time Computing Without Stable States: A New Framework for Neural Computation Based o… (2002)Real-Time Computing Without S…Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi… (2004)Harnessing Nonlinearity: Pred…Learning Internal Representations by Error Propagation (1988)Learning Internal Representat…Advances in Neural Information Processing Systems 18 (2006)Advances in Neural Informatio…On the difficulty of training Recurrent Neural Networks (2012)On the difficulty of training…Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Information processing using a single dynamical node as complex system (2011)Information processing using …
17 of 17 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Adaptation in Natural and Artificial Systems199235,569
Reducing the Dimensionality of Data with Neural Networks200621,247
Advances in Neural Information Processing Systems 19200715,653
Advances in neural information processing systems 7199614,393
Advances in Neural Information Processing Systems 1420028,961
Learning long-term dependencies with gradient descent is difficult19948,610
Learning to Forget: Continual Prediction with LSTM20005,538
Backpropagation through time: what it does and how to do it19904,971
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks19894,490
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based o…20024,117
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…20043,862
Learning Internal Representations by Error Propagation19883,036
Advances in Neural Information Processing Systems 1820061,932

What cites it, inside the corpus

PaperYearCited
On the difficulty of training Recurrent Neural Networks20123,801
Recent advances in physical reservoir computing: A review20192,125
Information processing using a single dynamical node as complex system20111,720

Links

DOI · OpenAlex record

Topics

Neural Networks and Reservoir ComputingComputer Science
Advanced Memory and Neural ComputingEngineering
Neural Networks and ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports185 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…