Top Tweets for #Uncertainty_Quantification
An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression
https://t.co/SFcxGlcHCb
#uncertainty_quantification #support_vector_regression

As @woojinrad mentioned at #RSNA24 #uncertainty_quantification is a missing component of many #Radiology #AI applications. Here is an example of how UQ can be implemented beyond classification tasks.
An uncertainty-aware #DeepLearning model to localize & classify 5 types of intracranial hemorrhage demonstrated state-of-the-art performance https://t.co/88cP3YDaFE @Slowvak @MayoRadiology @ShahriarFaghani #NeuroRad #brain #XAI

#UQ for #Radiology seems intimidating? Checkout our latest paper for a brief non-technical overview: 'Uncover This Tech Term: #Uncertainty_Quantification for #Deep_Learning' #conformalprediction @thecoopergamble @Slowvak @MayoAILab @MayoRadiology https://t.co/uhPGZFSTsw

This work, in further collaboration with Luca Sardi (@TU_Muenchen), Iason Papaioannou (TUM), and Daniel Straub (TUM), adapts and investigates off-line (batch) and on-line (recursive) #Bayesian #filters for posterior #uncertainty_quantification of time-invariant parameters.
Model uncertainty remains one the most difficult topics in #Uncertainty_Quantification. Here is our attempt to quantify it in the context of the Reynolds-Averaged Navier-Stokes model #RANS, in a physically meaningful manner that still allows probabilistic predictive estimates.
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty. https://t.co/puZO1IcmW8
Another interesting advancement in conformal prediction.
#uncertainty_quantification
Conformal Prediction With Conditional Guarantees
Excited to share my work with John Cherian (@jjcherian) and Emmanuel Candès https://t.co/Ot41Xrapp7. It is well-known that pointwise conditional coverage is impossible without strong assumptions.
But how close can we get?
(1/6)
I added a request for a certainty estimation to GPT3.5. This is somewhat helpful, but probably we need threshold at >97% …. #gpt #uncertainty_quantification

We are humbled by this enthusiasm at @NVIDIAGTC!
Unfortunately, our DLIs have a maximum capacity of 80 and many were not able to attend the live workshop. Recordings will be available soon.
See you tomorrow, 3pm CST at the #Uncertainty_Quantification learning lab.

"Ready to dive deep into the cutting-edge topics of #generative_AI and #uncertainty_quantification in #radiology #AI? Join us for two free, hands-on sessions @NVIDIAGTC.
@MayoAILab @MayoRadiology @SIIM_Tweets @RSNA
@Radiology_AI @TheASNR @The_ASSR @theASFNR @ProjectMONAI

@Dr_ASChaudhari @giemmecci I think applying #uncertainty_quantification methods on generated data at least can guid the radiologist about the model’s hallucinations! #RadAIchat
The second oral block will be about #uncertainty_quantification and #sensitivity_analysis followed by a Q&A.

I will give a talk next Monday in the Department of Mathematics & Statistics at Utah State University. If you are interested in #sensitivity_analysis, #uncertainty_quantification (UQ), and #optimization in the presence of #chaos, feel free to join.
https://t.co/uAMiYlfYNy
See our new paper with Prof @GuillasSerge on tsunami current velocity analysis considering uncertainty quantification and a million of predictions. The paper is here with open access: https://t.co/qf0DcpLHDl #Tsunami #Earthquake #Uncertainty_Quantification
New paper in open access https://t.co/bna3O0PCLA with @Mo_Heidarzadeh and D. Gopinathan. Emulator of tsunami model yield 1 million predictions! Low probability hazard quantified confidently (e.g. 1/1000 year wave height, speed). Record in tsunami science. And across all hazards?
Our recent paper on a #geostatistics_informed #MachineLearning method if you are doing #uncertainty_quantification and want to update your Gaussian models quickly by introducing new data, #rapid_estimation, #sequential_Gaussian_Simulation
https://t.co/vimegkRccr

Slides from Durham University can be found here.
https://t.co/UnK6uTCoKP
#utopiaeots #uncertainty_quantification
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