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Counting People by Estimating People Flows

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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

Counting People by Estimating People Flows

Graph Chatbot

Chattez avec Graph Search

Aggregating Spatial and Photometric Context for Photometric Stereo

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

Distributional Regression and Autoregression via Optimal Transport

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

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

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

Robustness and invariance properties of image classifiers

Distribution-on-distribution regression via optimal transport maps

Human-Centered Scene Understanding via Crowd Counting

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

Robustness and invariance properties of image classifiers

Aggregating Spatial and Photometric Context for Photometric Stereo

Distribution-on-distribution regression via optimal transport maps

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

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

Distributional Regression and Autoregression via Optimal Transport

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

Human-Centered Scene Understanding via Crowd Counting

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions