An Optimal Policy for Target Localization with Application to Electron Microscopy

Raphael Sznitman , Bruno Jedynak , Peter Frazier , Aurelien Lucchi
international conference on machine learning 28 ( 1) 1 -9

20
2013
Variance Reduced Stochastic Gradient Descent with Neighbors

Aurelien Lucchi , Brian McWilliams , Thomas Hofmann , Simon Lacoste-Julien
arXiv: Learning

143
2015
Sub-sampled Cubic Regularization for Non-convex Optimization

Aurelien Lucchi , Jonas Moritz Kohler
arXiv: Learning

137
2017
Learning Aerial Image Segmentation From Online Maps

Aurelien Lucchi , Konrad Schindler , Martin Jaggi , Thomas Hofmann
IEEE Transactions on Geoscience and Remote Sensing 55 ( 11) 6054 -6068

267
2017
Adversarially Robust Training through Structured Gradient Regularization

Sebastian Nowozin , Aurelien Lucchi , Thomas Hofmann , Kevin Roth
arXiv: Machine Learning

29
2018
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification

Aliaksei Severyn , Aurelien Lucchi , Martin Jaggi , Thomas Hofmann
arXiv: Computation and Language

2017
Starting Small -- Learning with Adaptive Sample Sizes

Aurelien Lucchi , Thomas Hofmann , Hadi Daneshmand
arXiv: Learning

49
2016
Local Saddle Point Optimization: A Curvature Exploitation Approach

Aurelien Lucchi , Thomas Hofmann , Hadi Daneshmand , Leonard Adolphs
international conference on artificial intelligence and statistics 89 486 -495

104
2019
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy

Aryan Mokhtari , Aurelien Lucchi , Alejandro Ribeiro , Thomas Hofmann
neural information processing systems 29 4062 -4070

19
2016
Cosmological N-body simulations: a challenge for scalable generative models

Alexandre Réfrégier , Aurelien Lucchi , Nathanaël Perraudin , Thomas Hofmann
arXiv: Computational Physics

2019
A Domain Agnostic Measure for Monitoring and Evaluating GANs

Paulina Grnarova , Kfir Y Levy , Aurelien Lucchi , Nathanael Perraudin
neural information processing systems 32 12092 -12102

36
2019
Continuous-time Models for Stochastic Optimization Algorithms

Aurelien Lucchi , Antonio Orvieto
neural information processing systems 32 12589 -12601

7
2019
Shadowing Properties of Optimization Algorithms

Aurelien Lucchi , Antonio Orvieto
neural information processing systems 32 12671 -12671

8
2019
Ellipsoidal Trust Region Methods for Neural Network Training

Aurelien Lucchi , Jonas Kohler , Leonard Adolphs

2019
Controlling Style and Semantics in Weakly-Supervised Image Generation

Aurelien Lucchi , Thomas Hofmann , Dario Pavllo
arXiv: Computer Vision and Pattern Recognition

28
2019
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization.

Aurelien Lucchi , Gary Becigneul , Antonio Orvieto , Foivos Alimisis
international conference on artificial intelligence and statistics 1297 -1307

41
2020
An Accelerated DFO Algorithm for Finite-sum Convex Functions

Aurelien Lucchi , Antonio Orvieto , Yuwen Chen
international conference on machine learning 1 1681 -1690

12
2020
Randomized Block-Diagonal Preconditioning for Parallel Learning

Aurelien Lucchi , Celestine Mendler-Dünner
arXiv: Learning

2020
Convolutional Generation of Textured 3D Meshes

Marie-Francine Moens , Aurelien Lucchi , Thomas Hofmann , Dario Pavllo
neural information processing systems 33 870 -882

2
2020
Fast cosmic web simulations with generative adversarial networks

Alexandre Réfrégier , Aurelien Lucchi , Thomas Hofmann , Adam Amara
Computational Astrophysics and Cosmology 5 ( 1) 4

109
2018