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ICCV 2021.

Authors: Anna M. Wundram, Christian F. Baumgartner Paper Link: https://openreview.net/forum?id=nWHl9gVCde Abstract: ...

Channel's GitHub page hosting Jupyter Notebook: https://github.com/mtorabirad/MLBoost In this video, we explore the concept of ...

Gaussian process regression (GPR) is a probabilistic approach to making predictions. GPRs are easy to implement, flexible, and ...

This paper takes a fully probabilistic approach by modeling the joint distribution over questions and inputs, defining uncertainty as ...

... is called verification valid validation and uncertainty quantification it has its own special track within the asme subaculture um so ...

Module 8.1 introduction to uncertainty quantification methods in this method we'll provide a basic understanding of what is ukq ...

Optimal Uncertainty Quantification of SciML Models by Chris Rackauckas, Adam R. Gerlach, Avinash Subramanian, Benjamin ...

In this video, we dive deep into the world of conformal predictors, a powerful tool in the field of uncertainty quantification (UQ).

Eduardo Souza de Cursi is a Full Professor at the Institut National des Sciences Appliquées de Rouen Normandie in France.

This video presents the key ideas of a proposal for a CDT (centre for doctoral training) on calibration, parameter inference and ...

I am rashan soy and i will present you our vertical misclassification risk and uncertainty quantification in deep classifiers when we ...

... Introduction 01:00 Applications of Uncertainty Quantification 02:15 Aleatoric and Epistemic Uncertainty 03:37 Unceratinty Types ...

This is a quick video brief on a new paper published by Ni Zhan and myself on uncertainty quantification in machine learning and ...

Physical modelling meets Machine Learning (in this case Gaussian Processes) in Thermoacoustics. This physics-informed ...

Final Project – Artificial Intelligence, Fall 2023, Purdue University.

By Bangti Jin, recorded at the Synergistic Reconstruction Symposium 2019.

So what is the errorbar for a simulation? First: check out ASME Standards VV20 (for CFD, Heat Transfer), and VV10 (for Solid ...

Ziqi Wang and Jungho Kim, UCB 2025 PEER Annual Meeting, Day 2: Wednesday, March 26.

https://arxiv.org/abs/2203.07472 A short video on what the above paper discusses: - Uncertainty Estimation with LLMs ...

Published at ICRA 2023 arxiv version: https://arxiv.org/abs/2305.20044.

This podcast explores different methods for quantifying uncertainty in physical properties derived from models, focusing on the ...

We propose a method that can decompose the uncertainty of an LLM into epistemic and aleatoric uncertainty. This method does ...

Jonas Schulz from the Technical University of Dresden provided a presentation entitled "Uncertainty Quantification of Surrogate ...