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04/17/2023
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
This work aims to improve the applicability of diffusion models in reali...
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02/07/2023
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Many important computer vision applications are naturally formulated as ...
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01/27/2023
Image Restoration with Mean-Reverting Stochastic Differential Equations
This paper presents a stochastic differential equation (SDE) approach fo...
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12/21/2022
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
Objective: Imbalances of the electrolyte concentration levels in the bod...
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10/22/2021
Learning Proposals for Practical Energy-Based Regression
Energy-based models (EBMs) have experienced a resurgence within machine ...
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01/18/2021
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI
Purpose: To enable fast and automated analysis of body composition from ...
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12/08/2020
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D object detection (3DOD) is crucial for safe navigation of co...
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12/08/2020
Deep Energy-Based NARX Models
This paper is directed towards the problem of learning nonlinear ARX mod...
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05/04/2020
How to Train Your Energy-Based Model for Regression
Energy-based models (EBMs) have become increasingly popular within compu...
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09/26/2019
DCTD: Deep Conditional Target Densities for Accurate Regression
While deep learning-based classification is generally addressed using st...
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06/04/2019
