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Neural Computation|November 15, 2012
Enhanced gradient for training restricted Boltzmann machinesKyunghyun Cho, Tapani Raiko, Alexander IlinNeural Networks : the Official Journal of the International Neural Network Society|October 17, 2014
Measuring the usefulness of hidden units in Boltzmann machines with mutual informationMathias Berglund, Tapani Raiko, Kyunghyun ChoNeural Networks : the Official Journal of the International Neural Network Society|October 9, 2014
Two-layer contractive encodings for learning stable nonlinear featuresHannes Schulz, Kyunghyun Cho, Tapani Raiko, et al.Advances in Experimental Medicine and Biology|July 12, 2011
Oscillatory neural network for image segmentation with biased competition for attentionTapani Raiko, Harri ValpolaJournal of Chemical Information and Modeling|July 18, 2018
Conditional Molecular Design with Deep Generative ModelsSeokho Kang, Kyunghyun ChoBioinformatics (Oxford, England)|August 23, 2022
NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site predictionRen Yi, Kyunghyun Cho, Richard BonneauNeural Networks : the Official Journal of the International Neural Network Society|April 18, 2006
Exploratory analysis of climate data using source separation methodsAlexander Ilin, Harri Valpola, Erkki OjaIEEE Transactions on Neural Networks|September 24, 2004
Nonlinear dynamical factor analysis for state change detectionAlexander Ilin, Harri Valpola, Erkki OjaNeural Computation|January 31, 2018
Dynamic Neural Turing Machine with Continuous and Discrete Addressing SchemesCaglar Gulcehre, Sarath Chandar, Kyunghyun Cho, et al.Scientific Reports|January 2, 2020
Molecular Geometry Prediction using a Deep Generative Graph Neural NetworkElman Mansimov, Omar Mahmood, Seokho Kang, et al.Pageof 6