Table of Contents
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Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014, October). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 1724-1734).
SketchRNN: RNN and VAE
Ha, D., & Eck, D. (2018, February). A Neural Representation of Sketch Drawings. In International Conference on Learning Representations.
Generating LaTeX code from handwritten maths
Zhang, J., Du, J., & Dai, L. (2017, November). A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Vol. 1, pp. 902-907). IEEE.
Solving mathematical expressions
Lample, G., & Charton, F. (2019, September). Deep Learning For Symbolic Mathematics. In International Conference on Learning Representations.