Publications (23)
Fast Point Spread Function Modeling with Deep Learning
Jörg Herbel, Tomasz Kacprzak, Adam Amara +2
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi +2
Flexible Prior Distributions for Deep Generative Models
Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann
Radio frequency interference mitigation using deep convolutional neural networks
Joel Akeret, Chihway Chang, Aurelien Lucchi +1
Fast cosmic web simulations with generative adversarial networks
Andres C. Rodriguez, Tomasz Kacprzak, Aurelien Lucchi +5
A Distributed Second-Order Algorithm You Can Trust
Celestine Dünner, Aurelien Lucchi, Matilde Gargiani +3
Learning Aerial Image Segmentation from Online Maps
Pascal Kaiser, Jan Dirk Wegner, Aurelien Lucchi +3
A Semi-supervised Framework for Image Captioning
Wenhu Chen, Aurelien Lucchi, Thomas Hofmann
Escaping Saddles with Stochastic Gradients
Hadi Daneshmand, Jonas Kohler, Aurelien Lucchi +1
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin +1
Cosmological model discrimination with Deep Learning
Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak +4
Cosmological constraints from noisy convergence maps through deep learning
Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi +3
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking
Octavian-Eugen Ganea, Marina Ganea, Aurelien Lucchi +2
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi +1
Sub-sampled Cubic Regularization for Non-convex Optimization
Jonas Moritz Kohler, Aurelien Lucchi
A Variance Reduced Stochastic Newton Method
Aurelien Lucchi, Brian McWilliams, Thomas Hofmann
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien +1
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Kohler, Hadi Daneshmand, Aurelien Lucchi +3
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
Jan Deriu, Aurelien Lucchi, Valeria De Luca +5
Adversarially Robust Training through Structured Gradient Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin +1
Starting Small -- Learning with Adaptive Sample Sizes
Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann
Semantic Interpolation in Implicit Models
Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann
DynaNewton - Accelerating Newton's Method for Machine Learning
Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann