219 citations · 734 across the 29 of their papers we have counts for
5 papers · 1 filter
Improved BiGAN training with marginal likelihood equalization
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Perez-Cruz
We propose a novel training procedure for improving the performance of generative adversarial networks (GANs), especially to bidirectional GANs. First, we enforce that the empirica…
Probabilistic Time of Arrival Localization
Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang +1
In this paper, we take a new approach for time of arrival geo-localization. We show that the main sources of error in metropolitan areas are due to environmental imperfections that…
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference
Javier Cépedes, Pablo M. Olmos, Matilde Sánchez-Fernández +1
In this paper we explore low-complexity probabilistic algorithms for soft symbol detection in high-dimensional multiple-input multiple-output (MIMO) systems. We present a novel alg…
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
Stefan G. Stark, Stephanie L. Hyland, Melanie F. Pradier +5
The recent adoption of Electronic Health Records (EHRs) by health care providers has introduced an important source of data that provides detailed and highly specific insights into…
Out-of-Sample Testing for GANs
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies on a test set to directly measure the reconstruction quality in the original sample space (no auxiliary net…