Publication

A memory of motion for visual predictive control tasks

Publications associées (32)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Distributional Regression and Autoregression via Optimal Transport

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

Diverse parameters of ambulatory knee moments differ with medial knee osteoarthritis severity and are combinable into a severity index

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Diverse parameters of ambulatory knee moments differ with medial knee osteoarthritis severity and are combinable into a severity index

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

Distributional Regression and Autoregression via Optimal Transport

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI