research
∙
11/06/2022
Cauchy robust principal component analysis with applications to high-deimensional data sets
Principal component analysis (PCA) is a standard dimensionality reductio...
share
research
∙
10/31/2022
Lipschitz regularized gradient flows and latent generative particles
Lipschitz regularized f-divergences are constructed by imposing a bound ...
research
∙
10/10/2022
Function-space regularized Rényi divergences
We propose a new family of regularized Rényi divergences parametrized no...
research
∙
06/07/2021
Forward Looking Best-Response Multiplicative Weights Update Methods
We propose a novel variant of the multiplicative weights update method w...
research
∙
12/09/2020
Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data
Inferring the driving equations of a dynamical system from population or...
research
∙
11/11/2020
(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
We develop a general framework for constructing new information-theoreti...
research
∙
08/13/2020
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion
The increased adoption of digital assistants makes text-to-speech (TTS) ...
research
∙
08/09/2020
Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions
Recent advancements in deep learning led to human-level performance in s...
research
∙
06/15/2020
Optimizing variational representations of divergences and accelerating their statistical estimation
Variational representations of distances and divergences between high-di...
research
∙
06/13/2020
Predictive modeling approaches in laser-based material processing
Predictive modelling represents an emerging field that combines existing...
research
∙
06/11/2020
Cumulant GAN
Despite the continuous improvements of Generative Adversarial Networks (...
research
∙
11/29/2018
Gaussian asymptotic limits for the α-transformation in the analysis of compositional data
Compositional data consists of vectors of proportions whose components s...
research
∙
11/06/2018
Training Generative Adversarial Networks with Weights
The impressive success of Generative Adversarial Networks (GANs) is ofte...
research
∙
10/13/2017
