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Yann LeCun

Silver Professor; Professor of Computer Science

    1985 …2019

    Research output per year

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    Research Output

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    Chapter (peer-reviewed)
    2007

    Scaling learning algorithms towards AI

    Bengio, Y. & Lecun, Y., 2007, Large-scale kernel machines. Bottou, L., Chapelle, O., DeCoste, D. & Weston, J. (eds.). MIT Press

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    2006

    A tutorial on energy-based learning

    Lecun, Y., Chopra, S., Hadsell, R., Ranzato, M. A. & Huang, F. J., 2006, Predicting structured data. Bakir, G., Hofman, T., Scholkopt, B., Smola, A. & Taskar, B. (eds.). MIT Press

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    2001

    Gradient-based learning applied to document recognition

    Lecun, Y., Bottou, L., Bengio, Y. & Haffner, P., 2001, Intelligent signal processing. IEEE Press, p. 306-351

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1999

    Object recognition with gradient-based learning

    Lecun, Y., Haffner, P., Bottou, L. & Bengio, Y., 1999, Feature grouping. Forsyth, D. (ed.). Springer

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1998

    Efficient backdrop

    Lecun, Y., Bottou, L., Orr, G. B. & Muller, K., 1998, Neural networks: Tricks of the trade. Orr, G. & Muller, K. (eds.). Springer

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Transformation invariance in pattern recognition, tangent distance and tangent propagation

    Simard, P., Lecun, Y., Denker, J. S. & Victorri, B., 1998, Neural networks: Tricks of the trade. Orr, G. & Muller, K. (eds.). Springer

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1995

    Convolutional networks for images, speech, and time-series

    Lecun, Y. & Bengio, Y., 1995, The handbook of brain theory and neural networks. Arbib, M. A. (ed.). MIT Press

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Learning algorithms for classification: A comparison on handwritten digit recognition

    Lecun, Y., Jackel, L. D., Bottou, L., Cortes, C., Denker, J. S., Drucker, H., Guyon, I., Muller, U. A., Sackinger, E., Simard, P. & Vapnik, V., 1995, Neural networks: The statistical mechanics perspective. Oh, J. H., Kwon, C. & Cho, S. (eds.). World Scientific, p. 261-276

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Neural-net applications in character recognition and document analysis

    Jackel, L., Battista, M., Baird, H., Ben, J., Bromley, J., Burges, C., Cosatto, E., Denker, J. S., Graf, H. P., Katseff, H., Lecun, Y., Nohl, C., Sackinger, E., Shamilian, J., Shoemaker, T., Stenard, C. E., Strom, I., Ting, R., Wood, T. & Zuraw, C., 1995, Neural-net applications in telecommunications. Kluwer Academic Publishers

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Pattern recognition and neural networks

    Lecun, Y. & Bengio, Y., 1995, The handbook of brain theory and neural networks. Arbib, M. A. (ed.). MIT Press

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1992

    A theoretical framework for back-propagation

    Lecun, Y., 1992, Artificial neural networks: Concepts and theory. Mehra, P. & Wah, B. (eds.). Los Alamitos, CA: IEEE Computer Society Press

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Handwritten digit recognition: Applications of neural net chips and automatic learning

    Lecun, Y., Jackel, L. D., Boser, B., Denker, J. S., Graf, H. P., Guyon, I., Henderson, D., Howard, R. E. & Hubbard, W., 1992, Artificial neural networks. Sanchez-Sinencio, E. & Lau, C. (eds.). IEEE Press, p. 463-468

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Handwritten digit recognition with a back-propagation network

    Lecun, Y., Boser, B. E., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W. & Jackel, L. D., 1992, Neural networks, current applications. Lisboa, P. G. J. (ed.). Chapman Hall/CRC Publishers

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Writer independent and writer adaptive neural network for on-line character recognition

    Guyon, I., Henderson, D., Albrecht, P., Lecun, Y. & Denker, J. S., 1992, From pixels to features III: Frontiers in handwriting recognition. Impedovo, S. & Simon, J. C. (eds.). Elsevier, p. 493-506

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1991

    Constrained neural networks for pattern recognition

    Solla, S. A. & Lecun, Y., 1991, Neural networks: Concepts, applications and implementations. Antognetti, P. & Milutinovic, V. (eds.). Prentice Hall, Vol. IV. p. 142-161

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1989

    Generalization and network design strategies

    Lecun, Y., 1989, Connectionism in perspective. Pfeifer, R., Schreter, Z., Fogelman, F. & Steels, L. (eds.). Zurich, Switzerland: Elsevier

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    1987

    Automata networks and artificial intelligence

    Fogelman Soulie, F., Gallinari, P., Lecun, Y. & Thiria, S., 1987, Automata networks in computer science, theory and applications. Princeton University Press, p. 133-186

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)