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A memory of motion for visual predictive control tasks

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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

A memory of motion for visual predictive control tasks

Graph Chatbot

Chattez avec Graph Search

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Are green bonds priced lower than their conventional peers?

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Bayesian modeling of brain function and behavior

Functional lagged regression with sparse noisy observations

Understanding the reconstruction of personal networks through residential trajectories

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Distributional Regression and Autoregression via Optimal Transport

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Bayesian modeling of brain function and behavior

Distribution-on-distribution regression via optimal transport maps

Functional lagged regression with sparse noisy observations

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Understanding the reconstruction of personal networks through residential trajectories

Are green bonds priced lower than their conventional peers?

Understanding the Reconstruction of Personal Networks Through Residential Trajectories