Derek Monner, Ph.D.
Affiliations: | 2011 | Computer Science | University of Maryland, College Park, College Park, MD |
Area:
Artificial IntelligenceGoogle:
"Derek Monner"Parents
Sign in to add mentor| James Reggia | grad student | 2011 | University of Maryland | |
| (A neurocomputational model of grounded language comprehension and production at the sentence level.) | ||||
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Publications
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| Reggia JA, Monner D, Sylvester J. (2014) The computational explanatory gap Journal of Consciousness Studies. 21: 153-178 |
| Monner DD, Reggia JA. (2013) Recurrent neural collective classification. Ieee Transactions On Neural Networks and Learning Systems. 24: 1932-43 |
| Grushin A, Monner DD, Reggia JA, et al. (2013) Robust human action recognition via long short-term memory Proceedings of the International Joint Conference On Neural Networks |
| Monner D, Vatz K, Morini G, et al. (2013) A neural network model of the effects of entrenchment and memory development on grammatical gender learning Bilingualism. 16: 246-265 |
| Monner D, Reggia JA. (2012) A generalized LSTM-like training algorithm for second-order recurrent neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 25: 70-83 |
| Monner D, Reggia JA. (2012) Emergent latent symbol systems in recurrent neural networks Connection Science. 24: 193-225 |
| Monner D, Reggia JA. (2012) Neural architectures for learning to answer questions Biologically Inspired Cognitive Architectures. 2: 37-53 |
| Monner D, Reggia JA. (2011) Towards a biologically inspired question-answering neural architecture Frontiers in Artificial Intelligence and Applications. 233: 243-248 |
| Monner DD, Reggia JA. (2011) Systematically grounding language through vision in a deep, recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6830: 112-121 |
| Monner D, Reggia JA. (2009) An unsupervised learning method for representing simple sentences Proceedings of the International Joint Conference On Neural Networks. 2133-2140 |