Yann LeCun's publications

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[Bottou et al., 2000]: Leon Bottou, P. Haffner, Y. LeCun, Howard P., P. Vincent, and B. Riemers. Djvu: Un systeme de compression d'images pour la distribution reticulaire de documents numerises. (djvu: an image compression system for distributing scanned document on the internet). In Conférence Internationale Francophone sur L'Ecrit et le Document, Lyon, France, July 2000.
[Simard et al., 2000]: P. Y. Simard, Y. LeCun, J. S. Denker, and B. Victorri. Transformation invariance in pattern recognition -- tangent distance and tangent propagation. International Journal of Imaging Systems & Technology, 11(3), 2000.
[Haffner et al., 1999a]: P. Haffner, Leon Bottou, Howard P., and Yann LeCun. Djvu: Analyzing and compressing scanned documents for internet distribution. In International Conference on Document Analysis and Recognition, pages 625-628, 1999.
[Haffner et al., 1999b]: P. Haffner, Y. LeCun, Leon Bottou, Howard P., P. Vincent, and B. Riemers. Color documents on the web with djvu. In International Conference on Image Processing, volume 1, pages 239-243, Kobe, Japan, October 1999.
[LeCun et al., 1999a]: Y. LeCun, P. Haffner, L. Bottou, and Y. Bengio. Gradient-based learning for object detection, segmentation and recognition. In Song-Chun Zhu, Alan Yuille, and David Mumford, editors, submitted to Int'l Journal of Computer Vision, 1999.
[LeCun et al., 1999b]: Y. LeCun, P. Haffner, L. Bottou, and Y. Bengio. Object recognition with gradient-based learning. In D. Forsyth, editor, Feature Grouping. Springer, 1999.
[Simard et al., 1999]: P. Simard, L. Bottou, P. Haffner, and Y. LeCun. Boxlets: a fast convolution algorithm for neural networks and signal processing. In Advances in Neural Information Processing Systems 11. MIT Press, 1999.
[Bottou et al., 1998]: L. Bottou, P. Haffner, P. Howard, P. Simard, Y. Bengio, and Y. LeCun. High quality document image compression with djvu. Journal of Electronic Imaging, 7(3):410-425, July 1998.
[Chellappa et al., 1998]: R. Chellappa, K. Fukushima, A. Katsaggelos, S.-Y. Kung, Y. LeCun, N. M. Nasrabadi, and T. A. Poggio. Applications of artificial neural networks to image processing (guest editorial). IEEE Transactions on Image Processing, 7(8):1093-1097, August 1998.
[Cox et al., 1998]: R. Cox, B. Haskell, Y. LeCun, B. Shahraray, and L. Rabiner. On the application of multimedia processing to telecommunications. Proceedings of the IEEE, 86(5):755-824, May 1998.
[Haffner et al., 1998]: P. Haffner, L. Bottou, P. Howard, P. Simard, Y. Bengio, and Y. LeCun. Browsing through high quality document images with djvu. In Proc. of Advances in Digital Libraries 98, pages 309-318. IEEE, 1998.
[Haskell et al., 1998]: B. Haskell, P. Howard, Y. LeCun, A. Puri, J. Ostermann, R. Civanlar, L. Rabiner, L. Bottou, and P. Haffner. Image and video coding - emerging standards and beyond. IEEE Transaction CSVT, 8(7):814-837, November 1998.
[LeCun et al., 1998a]: Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.
[LeCun et al., 1998b]: Y. LeCun, L. Bottou, P. Haffner, and P. Howard. Djvu: a compression method for distributing scanned documents in color over the internet. In Color 6. IST, 1998.
[LeCun et al., 1998c]: Y. LeCun, L. Bottou, G. Orr, and K. Muller. Efficient backprop. In G. Orr and Muller K., editors, Neural Networks: Tricks of the trade. Springer, 1998.
[Simard et al., 1998]: P. Simard, Y. LeCun, J. Denker, and B. Victorri. Transformation invariance in pattern recognition, tangent distance and tangent propagation. In G. Orr and Muller K., editors, Neural Networks: Tricks of the trade. Springer, 1998.
[Bottou et al., 1997]: L. Bottou, Y. LeCun, and Y. Bengio. Global training of document processing systems using graph transformer networks. In Proc. of Computer Vision and Pattern Recognition, pages 490-494, Puerto-Rico, 1997. IEEE.
[Cox et al., 1997]: R. Cox, B. Haskell, Y. LeCun, B. Shahraray, and L. Rabiner. On the application of multimedia processing to telecommunications. In Proc. of International Conference on Image Processing, volume 1, pages 5-8, San Francisco, 1997. IEEE.
[LeCun et al., 1997]: Y. LeCun, L. Bottou, and Y. Bengio. Reading checks with graph transformer networks. In International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 151-154, Munich, 1997. IEEE.
[Rahim et al., 1997]: M. Rahim, Y. Bengio, and Y. LeCun. Discriminative feature and model design for automatic speech recognition. In Proc. of Eurospeech, Rhodes, Greece, 1997.
[Guyon et al., 1996]: I. Guyon, C. Warwick, and Y. LeCun. Technical report, AT&T Bell Labs, 1996.
[Bengio et al., 1995]: Y. Bengio, Y. LeCun, C. Nohl, and C. Burges. Lerec: A nn/hmm hybrid for on-line handwriting recognition. Neural Computation, 7(6):1289-1303, November 1995.
[Jackel et al., 1995]: L. Jackel, M. Battista, H. Baird, J. Ben, J. Bromley, C. Burges, E. Cosatto, J. Denker, H. Graf, H. Katseff, Y. LeCun, C. Nohl, E. Sackinger, J. Shamilian, T. Shoemaker, C. Stenard, I. Strom, R. Ting, T. Wood, and Zuraw C. Neural-net applications in character recognition and document analysis. In Neural-Net Applications in Telecommunications. Kluwer Academic Publishers, 1995.
[LeCun and Bengio, 1995a]: Y. LeCun and Y. Bengio. Convolutional networks for images, speech, and time-series. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks. MIT Press, 1995.
[LeCun and Bengio, 1995b]: Y. LeCun and Y. Bengio. Pattern recognition and neural networks. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks. MIT Press, 1995.
[LeCun et al., 1995a]: Y. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, P. Simard, and V. Vapnik. Comparison of learning algorithms for handwritten digit recognition. In F. Fogelman and P. Gallinari, editors, International Conference on Artificial Neural Networks, pages 53-60, Paris, 1995. EC2 & Cie.
[LeCun et al., 1995b]: Y. LeCun, L. D. Jackel, L. Bottou, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, P. Simard, and V. Vapnik. Learning algorithms for classification: A comparison on handwritten digit recognition. In J. H. Oh, C. Kwon, and S. Cho, editors, Neural Networks: The Statistical Mechanics Perspective, pages 261-276. World Scientific, 1995.
[Bengio and LeCun, 1994]: Y. Bengio and Y. LeCun. word normalization for on-line handwritten word recognition. In IAPR, editor, Proc. of the International Conference on Pattern Recognition, volume II, pages 409-413, Jerusalem, October 1994. IEEE.
[Bottou et al., 1994]: L. Bottou, C. Cortes, J.S. Denker, H. Drucker, I. Guyon, L.D. Jackel, Y. LeCun, U.A. Muller, E. Sackinger, P. Simard, and V. Vapnik. Comparison of classifier methods: a case study in handwritten digit recognition. In IAPR, editor, Proc. of the International Conference on Pattern Recognition, volume II, pages 77-82, Jerusalem, October 1994. IEEE.
[Chiang et al., 1994]: W Chiang, C. Cortes, L. Jackel, Y. LeCun, W. Lee, E. Pednault, and Vapnik V. Predicting transportpath degradation/failure based on recent performance history. In Proc of Symposium on Intelligent Systems in Communications and Power (SISCAP '94). IEEE, 1994.
[Drucker et al., 1994a]: H. Drucker, C. Cortes, L. D. Jackel, Y. LeCun, and V. Vapnik. Boosting and other ensemble methods. Neural Computation, 6(6), November 1994.
[Drucker et al., 1994b]: H. Drucker, C. Cortes, L. D. Jackel, Y. LeCun, and V. Vapnik. Boosting and other ensemble methods. In Proc of the 1994 Machine Learning conference, 1994.
[LeCun and Bengio, 1994]: Y. LeCun and Y. Bengio. word-level training of a handwritten word recognizer based on convolutional neural networks. In IAPR, editor, Proc. of the International Conference on Pattern Recognition, volume II, pages 88-92, Jerusalem, October 1994. IEEE.
[Matic et al., 1994]: N. Matic, D. Henderson, Y. Le Cun, and Y. Bengio. Pen-based visitor registration system (penguin). In Conference Record of the Twenty-Eighth Asilomar Conference on ignals, Systems and Computers. IEEE, 1994.
[Simard et al., 1994]: P. Simard, Y. LeCun, and J. Denker. Memory based character recognition using a transformation invariant metric. In IAPR, editor, Proc. of the International Conference on Pattern Recognition, volume II, pages 262-267, Jerusalem, October 1994. IEEE.
[Vaillant et al., 1994]: R. Vaillant, C. Monrocq, and Y. LeCun. Original approach for the localisation of objects in images. IEE Proc on Vision, Image, and Signal Processing, 141(4):245-250, August 1994.
[Vapnik et al., 1994]: V. Vapnik, E. Levin, and Y. LeCun. Measuring the vc-dimension of a learning machine. Neural Computation, 6(5):851-876, 1994.
[Bengio et al., 1993]: Y. Bengio, Y. LeCun, and D. Henderson. Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden markov models. In J. Cowan and G. Tesauro, editors, Advances in Neural Information Processing Systems, volume 6. Morgan Kaufmann, 1993.
[Bromley et al., 1993a]: J. Bromley, J. W. Bentz, L. Bottou, I. Guyon, Y. LeCun, C. Moore, E. Sackinger, and R. Shah. Signature verification using a siamese time delay neural network. International Journal of Pattern Recognition and Artificial Intelligence, 7(4), August 1993.
[Bromley et al., 1993b]: J. Bromley, I. Guyon, Y. LeCun, E. Sackinger, and R. Shah. Signature verification using a siamese time delay neural network. In J. Cowan and G. Tesauro, editors, Advances in Neural Information Processing Systems, volume 6. Morgan Kaufmann, 1993.
[LeCun et al., 1993a]: Y. LeCun, Y. Bengio, D. Henderson, A. Weisbuch, H. Weissman, and Jackel L. on-line handwriting recognition with neural networks: spatial representation versus temporal representation. In Proc. International Conference on handwriting and drawing. Ecole Nationale Superieure des Telecommunications, 1993.
[LeCun et al., 1993b]: Y. LeCun, P. Simard, and B. Pearlmutter. Automatic learning rate maximization by on-line estimation of the hessian's eigenvectors. In S. Hanson, J. Cowan, and L. Giles, editors, Advances in Neural Information Processing Systems, volume 5. Morgan Kaufmann Publishers, San Mateo, CA, 1993.
[Simard et al., 1993]: P. Simard, Y. LeCun, and Denker J. efficient pattern recognition using a new transformation distance. In S. Hanson, J. Cowan, and L. Giles, editors, Advances in Neural Information Processing Systems, volume 5. Morgan Kaufmann, 1993.
[Vaillant et al., 1993]: R. Vaillant, C. Monrocq, and Y. LeCun. An original approach for the localisation of objects in images. In International Conference on Artificial Neural Networks, pages 26-30, 1993.
[Wu et al., 1993]: Q.Z. Wu, Y. LeCun, L. D. Jackel, and B.S. Jeng. on-line recognition of limited vocabulary chinese character using multiple convolutional neural networks. In Proc. of the 1993 IEEE International Symposium on circuits and systems, volume 4, pages 2435-2438. IEEE, 1993.
[Boser et al., 1992]: B. Boser, E. Sackinger, J. Bromley, Y. LeCun, and L. Jackel. Hardware requirements for neural network pattern classifiers. IEEE Micro, 12(1):32-40, February 1992.
[Burges et al., 1992]: C. J. C. Burges, O. Matan, Y LeCun, J. S. Denker, L. D. Jackel, C. E. Stenard, C. R. Nohl, and J. I. Ben. Shortest path segmentation: A method for training a neural network to recognize character strings. In Proceedings of the 1992 International Joint Conference on Neural Networks, volume 3, pages 165-172, Baltimore, Maryland, 1992.
[Drucker and LeCun, 1992]: H. Drucker and Y LeCun. Improving generalization performance using double backpropagation. IEEE Transaction on Neural Networks, 3(6):991-997, 1992.
[Guyon et al., 1992]: I. Guyon, D. Henderson, P. Albrecht, Y. LeCun, and J. Denker. writer independentand writer adaptive neural network for on-line character recognition. In S. Impedovo and J.C. Simon, editors, From Pixels to Features III: Frontiers in handwriting recognition, pages 493-506. Elsevier, 1992.
[LeCun, 1992]: Y. LeCun. A theoretical framework for back-propagation. In P. Mehra and B. Wah, editors, Artificial Neural Networks: concepts and theory, Los Alamitos, CA, 1992. IEEE Computer Society Press.
[LeCun and Denker, 1992]: Yann LeCun and John S. Denker. Natural versus universal probability complexity, and entropy. In IEEE Workshop on the Physics of Computation, pages 122-127. IEEE, 1992.
[LeCun et al., 1992a]: Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Handwritten digit recognition with a back-propagation network. In Lisboa P.G.J., editor, Neural Netwotks, current applications. Chappman and Hall, 1992.
[LeCun et al., 1992b]: Y. LeCun, L. D. Jackel, B. Boser, J. S. Denker, H. P. Graf, I. Guyon, D. Henderson, R. E. Howard, and W. Hubbard. Handwritten digit recognition: Applications of neural net chips and automatic learning. In E. Sanchez-Sinencio and C. Lau, editors, Artificial Neural Networks, pages 463-468. IEEE press, 1992.
[Matan et al., 1992a]: O. Matan, J. Bromley, C. Burges, J. Denker, L. Jackel, Y. LeCun, E Pednault, W. Satterfield, C Stenard, and T. Thompson. Reading handwritten digits: A zip code recognition system. IEEE Computer, 25(7):59-63, July 1992.
[Matan et al., 1992b]: Ofer Matan, Christopher J. C. Burges, Yann LeCun, and John S. Denker. Multi-digit recognition using a space displacement neural network. In J. M. Moody, S. J. Hanson, and R. P. Lippman, editors, Neural Information Processing Systems, volume 4. Morgan Kaufmann Publishers, San Mateo, CA, 1992.
[Säckinger et al., 1992]: Eduard Säckinger, Bernhard Boser, Jane Bromley, Yann LeCun, and Lawrence D. Jackel. Application of the ANNA neural network chip to high-speed character recognition. IEEE Transaction on Neural Networks, 3(2):498-505, March 1992.
[Simard and LeCun, 1992]: P. Simard and Y. LeCun. Reverse tdnn: an architecture for trajectory generation. In J. M. Moody, S. J. Hanson, and R. P. Lippman, editors, Advances in Neural Information Processing Systems 4 (NIPS*91), Denver, CO, 1992. Morgan Kaufman.
[Simard et al., 1992a]: P. Simard, Y. LeCun, J. Denker, and B. Victorri. An efficient algorithm for learning invariances in adaptive classifiers. In Proc. of International Conference on Pattern Recognition, The Hague, pages 651-655. IAPR, 1992.
[Simard et al., 1992b]: P. Simard, B. Victorri, Y. LeCun, and J. Denker. Tangent prop: a formalism for specifying selected invariances in adaptive networks. In J. M. Moody, S. J. Hanson, and R. P. Lippman, editors, Advances in Neural Information Processing Systems 4 (NIPS*91), Denver, CO, 1992. Morgan Kaufman.
[Boser et al., 1991a]: B. Boser, E. Sackinger, J. Bromley, Y. LeCun, and L. Jackel. An analog neural network processor with programmable topology. IEEE Journal of Solid-State Circuits, 26(12):2017-2025, December 1991.
[Boser et al., 1991b]: B.E. Boser, E. Sackinger, J. Bromley, Y. LeCun, R.E. Howard, and L.D. Jackel. An analog neural network processor and its application to high-speed character recognition. In Proceedings of the International Joint Conference on Neural Networks, volume 1, pages 415-420, Seattle, WA, July 1991. IEEE Press.
[Denker and LeCun, 1991a]: J. S. Denker and Y. LeCun. transforming neural-net output levels to probability distributions. Technical report, AT&T Bell Laboratories, 1991.
[Denker and LeCun, 1991b]: J. S. Denker and Y. LeCun. transforming neural-net output levels to probability distributions. In R. Lippmann, J. Moody, and D. Touretzky, editors, Advances in Neural Information Processing Systems 3 (NIPS*90), Denver, CO, April 1991. Morgan Kaufman.
[Drucker and LeCun, 1991a]: H. Drucker and Y LeCun. Double backpropagation: Increasing generalization performance. In Proceedings of the International Joint Conference on Neural Networks, volume 2, pages 145-150, Seattle, WA, July 1991. IEEE Press.
[Drucker and LeCun, 1991b]: H. Drucker and Y LeCun. Improving generalization performance in character recognition. In Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, pages 198-207. IEEE Press, 1991. catalog number 91TH0385-5, ISBN 0-7803-0118-8.
[Guyon et al., 1991]: I. Guyon, P. Albrecht, Y. LeCun, J. S. Denker, and Hubbard W. design of a neural network character recognizer for a touch terminal. Pattern Recognition, 24(2):105-119, 1991.
[Kanter et al., 1991]: I. Kanter, Y. LeCun, and S. Solla. Second-order properties of error surfaces: learning time and generalization. In R. Lippmann, J. Moody, and D. Touretzky, editors, Advances in Neural Information Processing Systems 3 (NIPS*90), Denver, CO, April 1991. Morgan Kaufman.
[LeCun et al., 1991]: Y. LeCun, I. Kanter, and S. Solla. Eigenvalues of covariance matrices: application to neural-network learning. Physical Review Letters, 66(18):2396-2399, May 1991.
[Solla and LeCun, 1991]: S. Solla and Y. LeCun. Constrained neural networks for pattern recognition. In P. Antognetti and V. Milutinovic, editors, Neural Networks: Concepts, Applications and Implementations Vol IV, pages 142-161. Prentice Hall, 1991.
[Guyon et al., 1990]: I. Guyon, P. Albrecht, Y. LeCun, J. S. Denker, and W. Hubbard. A time delay neural network character recognizer for a touch terminal. In Proc. of the International Neural Network Conference, Paris, june 1990.
[Howard et al., 1990]: R.E. Howard, B. Boser, J.S. Denker, H.P. Graf, D. Henderson, W. Hubbard, L.D. Jackel, Y. Le Cun, and H.S. Baird. In IEEE International Symposium on Circuits and Systems, volume 3, pages 2433-2436, 1990.
[Jackel et al., 1990]: L.D. Jackel, B. Boser, J.S. Denker, H.P. Graf, Y. Le Cun, I. Guyon, D. Henderson, R.E. Howard, W. Hubbard, and S.A. Solla. Hardware requirements for neural-net optical character recognition. In Proc. of the International Joint Conference on Nerual Networks, volume 2, pages 855-861, 1990.
[LeCun et al., 1990a]: Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Handwritten digit recognition with a back-propagation network. In David Touretzky, editor, Advances in Neural Information Processing Systems 2 (NIPS*89), Denver, CO, 1990. Morgan Kaufman.
[LeCun et al., 1990b]: Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, and Baird H. S. Constrained neural network for unconstrained handwritten digit recognition. In C Suen, editor, Frontiers in Handwriting Recognition, Montreal, 1990. CENPARMI, Concordia University.
[LeCun et al., 1990c]: Y. LeCun, L. D. Jackel, H. P. Graf, B. Boser, J. S. Denker, I. Guyon, D. Henderson, R. E. Howard, and S. Hubbard, Solla. Optical character recognition and neural-net chips. In Proc. of the International Neural Network Conference, Paris, june 1990.
[LeCun et al., 1990d]: Y. LeCun, O. Matan, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, and H. S. Baird. Handwritten zip code recognition with multilayer networks. In IAPR, editor, Proc. of the International Conference on Pattern Recognition, volume II, pages 35-40, Atlantic City, 1990. IEEE. invited paper.
[LeCun et al., 1990e]: Yann LeCun, J. S. Denker, S. Solla, R. E. Howard, and L. D. Jackel. Optimal brain damage. In David Touretzky, editor, Advances in Neural Information Processing Systems 2 (NIPS*89), Denver, CO, 1990. Morgan Kaufman.
[Matan et al., 1990]: O. Matan, R. K. Kiang, C. E. Stenard, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, and Y. LeCun. Handwritten character recognition using neural network architectures. In Proc. of the 4th US Postal Service Advanced Technology Conference, Washington D.C., November 1990.
[Becker and LeCun, 1989]: S. Becker and Y. LeCun. Improving the convergence of back-propagation learning with sec ond-order methods. In D. Touretzky, G. Hinton, and T. Sejnowski, editors, Proc. of the 1988 Connectionist Models Summer School, pages 29-37, San Mateo, 1989. Morgan Kaufman.
[LeCun, 1989a]: Y. LeCun. Generalization and network design strategies. In R. Pfeifer, Z. Schreter, F. Fogelman, and L. Steels, editors, Connectionism in Perspective, Zurich, Switzerland, 1989. Elsevier. an extended version was published as a technical report of the University of Toronto.
[LeCun, 1989b]: Y. LeCun. Generalization and network design strategies. Technical Report CRG-TR-89-4, Department of Computer Science, University of Toronto, 1989.
[LeCun et al., 1989a]: Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural Computation, 1(4):541-551, Winter 1989.
[LeCun et al., 1989b]: Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural Computation, 1(4):541-551, Winter 1989.
[LeCun et al., 1989c]: Y. LeCun, L. D. Jackel, B. Boser, J. S. Denker, H. P. Graf, I. Guyon, D. Henderson, R. E. Howard, and W. Hubbard. Handwritten digit recognition: Applications of neural net chips and automatic learning. In F. Fogelman, J. Herault, and Y. Burnod, editors, Neurocomputing, Algorithms, Architectures and Applications, Les Arcs, France, 1989. Springer.
[LeCun et al., 1989d]: Y. LeCun, L. D. Jackel, B. Boser, J. S. Denker, H. P. Graf, I. Guyon, D. Henderson, R. E. Howard, and W. Hubbard. Handwritten digit recognition: Applications of neural net chips and automatic learning. IEEE Communication, pages 41-46, November 1989. invited paper.
[LeCun et al., 1989e]: Yann LeCun, Conrad C. Galland, and Hinton. Geoffrey E. Gemini: Gradient estimation through matrix inversion after noise injection. In David Touretzky, editor, Advances in Neural Information Processing Systems 1 (NIPS*88), Denver, CO, 1989. Morgan Kaufman.
[Bottou and LeCun, 1988]: L.-Y. Bottou and Y. LeCun. Sn: A simulator for connectionist models. In Proceedings of NeuroNimes 88, Nimes, France, 1988.
[LeCun, 1988]: Y. LeCun. A theoretical framework for back-propagation. In D. Touretzky, G. Hinton, and T. Sejnowski, editors, Proceedings of the 1988 Connectionist Models Summer School, pages 21-28, CMU, Pittsburgh, Pa, 1988. Morgan Kaufmann.
[LeCun and Bottou, 1988]: Y. LeCun and Léon-Yves Bottou. SN: A simulator for connectionist models. User Manual, March 1988.
[Fogelman-Soulié et al., 1987a]: F. Fogelman-Soulié, P. Gallinari, Y. LeCun, and S. Thiria. Automata networks and artificial intelligence. In Automata networks in computer science, theory and applications, pages 133-186. Princeton University Press, 1987.
[Fogelman-Soulié et al., 1987b]: F. Fogelman-Soulié, P. Gallinari, Y. LeCun, and S. Thiria. generalization using back-propagation. In Proc. of the first International Conference on Neural Networks, San Diego, California, June 1987. IEEE.
[Fogelman-Soulié et al., 1987c]: F. Fogelman-Soulié, P. Gallinari, Y. LeCun, and S. Thiria. Learning on automata networks. In Proc. of Congrès d'Intelligence Artificielle de Marseille, Marseille, France, 1987. IIRIAM.
[Gallinari et al., 1987]: P. Gallinari, Y. LeCun, S. Thiria, and Fogelman-Soulie F. Mémoires associatives distribuées: une comparaison (distributed associative memories: a comparison). In Proceedings of COGNITIVA 87, Paris, La Villette, May 1987. Cesta-Afcet.
[LeCun, 1987]: Y. LeCun. Modeles connexionnistes de l'apprentissage (connectionist learning models). PhD thesis, Université P. et M. Curie (Paris 6), June 1987.
[LeCun and Fogelman-Soulie, 1987]: Y. LeCun and F. Fogelman-Soulie. Modeles connexionnistes de l'apprentissage. Intellectica, special issue apprentissage et machine, March 1987.
[LeCun, 1986]: Y. LeCun. Learning processes in an asymmetric threshold network. In E. Bienenstock, F. Fogelman-Soulié, and G. Weisbuch, editors, Disordered systems and biological organization, pages 233-240, Les Houches, France, 1986. Springer-Verlag.
[LeCun, 1985]: Y. LeCun. A learning scheme for asymmetric threshold networks. In Proceedings of Cognitiva 85, pages 599-604, Paris, France, 1985.
[LeCun and Metsu, 1983]: Y. LeCun and P. Metsu. Contribution à la conception d'une famille de circuits vlsi de traitement du signal (contribution to the design of a family of signal processing vlsi circuits. Technical report, ESIEE, Paris, June 1983.