publications
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| Notable achievements: | Notable achievements: | ||
| - | * 1986: Deep Neural Networks were first used for my [[#mphil86|MPhil thesis]] - these had the form o_i = f(\sum_n^i-1 w_ij o_j) and so were very deep having only one unit per layer, yet trained well as they had skip connections stretching back to the input. | + | * 1986: Deep Neural Networks were first used for my [[#mphil86|MPhil thesis]] - these had the form o_i = f(\sum_n^i-1 w_ij o_j) and so were very deep having only one unit per layer, yet trained well as they had skip connections stretching back to the input. |
| + | * 1987: Real Time Recurrent Learning was first published in (https://papers.nips.cc/paper/42-static-and-dynamic-error-propagation-networks-with-application-to-speech-coding) and later by | ||
| + | R. J. Williams and D. Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural Computation, | ||
| + | 1(2):270–280, June 1989. ISSN 0899-7667 and Barak Pearlmutter. | ||
| Full list: | Full list: | ||
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| * [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.64.515&rep=rep1&type=pdf|A phonetic tactile speech listening listening system.]] E. M. Ellis and A. J. Robinson. Technical Report CUED/F-INFENG/TR.122, Cambridge University Engineering Department, May 1993. | * [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.64.515&rep=rep1&type=pdf|A phonetic tactile speech listening listening system.]] E. M. Ellis and A. J. Robinson. Technical Report CUED/F-INFENG/TR.122, Cambridge University Engineering Department, May 1993. | ||
| * C. Giguère, P. C. Woodland, and A. J Robinson. Application of an auditory model to the computer simulation of hearing impairment: Preliminary results. Canadian Acoustics, 21(3), 1993. | * C. Giguère, P. C. Woodland, and A. J Robinson. Application of an auditory model to the computer simulation of hearing impairment: Preliminary results. Canadian Acoustics, 21(3), 1993. | ||
| - | * Tony Robinson. Arti fcial neural networks: The mole-grips of the speech scientist. In Visual Representations of Speech Signals. John Wiley and Sons, 1993. | + | * Tony Robinson. Artifcial Neural Networks: The mole-grips of the speech scientist. In Visual Representations of Speech Signals. John Wiley and Sons, 1993. |
| * Tony Robinson. The state space and "ideal input" representations of recurrent networks. In Visual Representations of Speech Signals , pages 327-334. John Wiley and Sons, 1993. | * Tony Robinson. The state space and "ideal input" representations of recurrent networks. In Visual Representations of Speech Signals , pages 327-334. John Wiley and Sons, 1993. | ||
| * Tony Robinson. Recurrent nets for phone probability estimation. In Proceedings of the ARPA Continuous Speech Recognition Workshop , Stanford, September 1992. | * Tony Robinson. Recurrent nets for phone probability estimation. In Proceedings of the ARPA Continuous Speech Recognition Workshop , Stanford, September 1992. | ||