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| Gauge Equivariant Convolutional Networks and the Icosahedral CNN
T. Cohen, M. Weiler, B. Kicanaoglu, M. Welling
In International Conference on Machine Learning 2019.
[bibtex] [url] |
 | Relaxed quantization for discretized neural networks
C. Louizos, M. Reisser, T. Blankevoort, E. Gavves, M. Welling
In International Conference on Learning Representations 2019.
[bibtex] [url] |
 | Training a Spiking Neural Network with Equilibrium Propagation
P. O'Connor, E. Gavves, M. Welling
In International Conference on Artificial Intelligence and Statistics 2019.
[bibtex] [url] |
 | Initialized Equilibrium Propagation for Backprop-Free Training
P. O'Connor, E. Gavves, M. Welling
In International Conference on Learning Representations 2019.
[bibtex] [url] |
 | Combinatorial Bayesian Optimization using the Graph Cartesian Product
C. Oh, J. Tomczak, E. Gavves, M. Welling
In Advances in Neural Information Processing Systems 2019.
[bibtex] [url] |
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| Temporally Efficient Deep Learning with Spikes
P. O'Connor, E. Gavves, M. Welling
In International Conference on Learning Representations 2018.
[bibtex] [url] |
| Initialized Equilibrium Propagation for Backprop-Free Training
P. O'Connor, E. Gavves, M. Welling
In International Conference on Machine Learning, Workshop on Credit Assignment in Deep Learning and Deep Reinforcement Learning 2018.
[bibtex] [url] |
| BOCK: Bayesian Optimization with Cylindrical Kernels
C. Oh, E. Gavves, M. Welling
In International Conference on Machine Learning 2018.
[bibtex] [url] |
