Rob Brekelmans
Rob Brekelmans
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
Invariant representations without adversarial training
D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan
arXiv preprint arXiv:1805.09458, 2018
612018
Auto-encoding total correlation explanation
S Gao, R Brekelmans, G Ver Steeg, A Galstyan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
452019
P4ML: A phased performance-based pipeline planner for automated machine learning
Y Gil, KT Yao, V Ratnakar, D Garijo, G Ver Steeg, P Szekely, ...
AutoML Workshop at ICML, 2018
222018
Exact rate-distortion in autoencoders via echo noise
R Brekelmans, D Moyer, A Galstyan, G Ver Steeg
Advances in Neural Information Processing Systems, 3889-3900, 2019
82019
Disentangled representations via synergy minimization
G Ver Steeg, R Brekelmans, H Harutyunyan, A Galstyan
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
42017
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
R Brekelmans, V Masrani, F Wood, GV Steeg, A Galstyan
International Conference on Machine Learning, 2020
32020
Annealed Importance Sampling with q-Paths
R Brekelmans, V Masrani, T Bui, F Wood, A Galstyan, GV Steeg, ...
NeurIPS Workshop on Deep Learning through Information Geometry, 2020
22020
Likelihood Ratio Exponential Families
R Brekelmans, F Nielsen, A Makhzani, A Galstyan, G Ver Steeg
NeurIPS Workshop on Deep Learning through Information Geometry, 2020
12020
Discovery and Separation of Features for Invariant Representation Learning
A Jaiswal, R Brekelmans, D Moyer, GV Steeg, W AbdAlmageed, ...
arXiv preprint arXiv:1912.00646, 2019
12019
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective
V Nguyen, V Masrani, R Brekelmans, MA Osborne, F Wood
arXiv preprint arXiv:2010.15750, 2020
2020
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Articles 1–10