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Workshop
Better Calibration Error Estimation for Reliable Uncertainty Quantification
Shuman Peng · Parsa Alamzadeh · Martin Ester
Poster
Wed 17:00 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson · Chris van der Heide · Fred Roosta · Michael Mahoney
Workshop
Physics-Constrained Random Forests for Turbulence Model Uncertainty Estimation
Marcel Matha
Workshop
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
Kevin Kasa · Graham Taylor
Poster
Thu 13:30 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Dominik Schnaus · Jongseok Lee · Daniel Cremers · Rudolph Triebel
Poster
Tue 14:00 Uncertainty Estimation for Molecules: Desiderata and Methods
Tom Wollschläger · Nicholas Gao · Bertrand Charpentier · Mohamed Amine Ketata · Stephan Günnemann
Poster
Tue 17:00 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng · Guangyong Chen · Yang YU · Furui Liu · Pheng Ann Heng
Workshop
On Estimating the Epistemic Uncertainty of Graph Neural Networks using Stochastic Centering
Puja Trivedi · Mark Heimann · Rushil Anirudh · Danai Koutra · Jayaraman J. Thiagarajan
Workshop
Calibrating Language Models via Augmented Prompt Ensembles
Mingjian Jiang · Yangjun Ruan · Sicong Huang · Saifei Liao · Silviu Pitis · Roger Grosse · Jimmy Ba
Workshop
Risk-Aware Image Generation by Estimating and Propagating Uncertainty
Alejandro Perez · Iaroslav Elistratov · Fynn Schmitt-Ulms · Ege Demir · Sadhana Lolla · Elaheh Ahmadi · Daniela Rus · Alexander Amini