Disentangling by Subspace Diffusion | 0 | 0.34 | 2020 |
Spectral Inference Networks - Unifying Deep and Spectral Learning. | 0 | 0.34 | 2019 |
Towards a Definition of Disentangled Representations. | 7 | 0.45 | 2018 |
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. | 3 | 0.44 | 2018 |
Minimally Redundant Laplacian Eigenmaps. | 0 | 0.34 | 2018 |
Unrolled Generative Adversarial Networks. | 3 | 0.37 | 2016 |
Connecting Generative Adversarial Networks and Actor-Critic Methods. | 12 | 0.77 | 2016 |
Learning to learn by gradient descent by gradient descent. | 0 | 0.34 | 2016 |
Convolution by Evolution: Differentiable Pattern Producing Networks. | 19 | 0.74 | 2016 |
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. | 10 | 0.53 | 2015 |
Robust learning of low-dimensional dynamics from large neural ensembles. | 9 | 0.67 | 2013 |
Decoding arm and hand movements across layers of the macaque frontal cortices. | 2 | 0.42 | 2012 |
Probabilistic Deterministic Infinite Automata. | 8 | 0.48 | 2010 |
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process | 7 | 0.54 | 2010 |