Publication

On the drainage density of tidal networks

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

On the drainage density of tidal networks

Graph Chatbot

Chattez avec Graph Search

Interpretable statistical representations of neural population dynamics and geometry

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Distributional Regression and Autoregression via Optimal Transport

Polynomial-time universality and limitations of deep learning

An Unbiased Method of Measuring the Ratio of Two Data Sets

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

Effects of Unsaturated Flow on Salt Distributions in Tidally Influenced Coastal Unconfined Aquifers

Spatio-Temporal Dynamics of Snow on Central Arctic Sea Ice and its Implications

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Interpretable statistical representations of neural population dynamics and geometry

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Distributional Regression and Autoregression via Optimal Transport

An Unbiased Method of Measuring the Ratio of Two Data Sets

Effects of Unsaturated Flow on Salt Distributions in Tidally Influenced Coastal Unconfined Aquifers

Spatio-Temporal Dynamics of Snow on Central Arctic Sea Ice and its Implications

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Polynomial-time universality and limitations of deep learning

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions