Workshop
|
|
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
|
|
Workshop
|
|
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin · Huiyi Hu · JIE REN · Michael Dusenberry · Balaji Lakshminarayanan
|
|
Workshop
|
|
On the Limitations of Model Stealing with Uncertainty Quantification Models
|
|
Workshop
|
|
Bayesian Uncertainty Quantification in High-dimensional Stellar Magnetic Field Models
Jennifer Andersson · Oleg Kochukhov · Zheng Zhao · Jens Sjölund
|
|
Workshop
|
|
Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
|
|
Poster
|
Wed 17:00
|
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
Marc Finzi · Anudhyan Boral · Andrew Wilson · Fei Sha · Leonardo Zepeda-Nunez
|
|
Affinity Workshop
|
Mon 17:40
|
Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification
Vinicius L S Silva · Claire Heaney · Christopher Pain
|
|
Workshop
|
|
Physics-Constrained Random Forests for Turbulence Model Uncertainty Estimation
Marcel Matha
|
|
Workshop
|
|
Better Calibration Error Estimation for Reliable Uncertainty Quantification
Shuman Peng · Parsa Alamzadeh · Martin Ester
|
|
Poster
|
Wed 17:00
|
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs · Eyke Hüllermeier · Willem Waegeman
|
|
Workshop
|
|
Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
Cornelius Emde · Francesco Pinto · Thomas Lukasiewicz · Phil Torr · Adel Bibi
|
|
Workshop
|
|
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu · Yaodong Yu · Sai Praneeth Karimireddy · Michael Jordan · Ramesh Raskar
|
|