Neural Networks

Capsule Networks Need an Improved Routing Algorithm ACML 2019 Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks ICLR 2019 Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks NeurIPS 2019 Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems ACML 2018 Lifelong Learning with Dynamically Expandable Networks ICLR 2018 Global Optimality in Neural Network Training CVPR 2017 Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System NeurIPS 2017 Diffusion-Convolutional Neural Networks NeurIPS 2016 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015 Max-Margin Deep Generative Models NeurIPS 2015 Natural Neural Networks NeurIPS 2015 Training Very Deep Networks NeurIPS 2015 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Deep Symmetry Networks NeurIPS 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 Analog readout for optical reservoir computers NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012