|
Poster
|
Fri 16:30
|
Score-based generative models are provably robust: an uncertainty quantification perspective
Nikiforos Mimikos-Stamatopoulos · Benjamin Zhang · Markos Katsoulakis
|
|
|
Workshop
|
Sat 15:45
|
Conformal Prediction Adaptive to Unknown Subpopulation Shifts
Nien-Shao Wang · Sai Praneeth Karimireddy
|
|
|
Competition
|
Sat 11:15
|
1st Place Competition Milestone (Ensembles and Uncertainty Quantification)
Ibrahim Elsharkawy
|
|
|
Workshop
|
Sat 12:00
|
Hessian-Free Laplace in Bayesian Deep Learning
James McInerney · Nathan Kallus
|
|
|
Workshop
|
|
Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction
Feng Chen · Qi Qi · Jiayu Qiu · Kemeng Zhang · Xiang Li
|
|
|
Workshop
|
|
Uncertainty Quantification From Scaling Laws in Deep Neural Networks
Ibrahim Elsharkawy · Yonatan Kahn · Benjamin Hooberman
|
|
|
Workshop
|
Sat 12:00
|
To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori · Ilja Kuzborskij · András György · Csaba Szepesvari
|
|
|
Poster
|
Wed 11:00
|
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
Jannik Franzen · Claudia Winklmayr · Vanessa Emanuela Guarino · Christoph Karg · Xiaoyan Yu · Nora Koreuber · Jan Albrecht · Philip Bischoff · Dagmar Kainmueller
|
|
|
Workshop
|
|
Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
|
|
|
Workshop
|
|
Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction
Feng Chen · Qi Qi · Jiayu Qiu · Kemeng Zhang · Xiang Li
|
|
|
Workshop
|
|
Early Exiting in Deep Neural Networks via Dirichlet-based Uncertainty Quantification
Feng Xia · Jake Snell · Tom Griffiths
|
|
|
Affinity Event
|
|
Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud · Herve Lombaert · Samuel Kadoury
|
|
