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Competition
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Sat 11:15
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1st Place Competition Milestone (Ensembles and Uncertainty Quantification)
Ibrahim Elsharkawy
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Workshop
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Sat 12:00
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To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori · Ilja Kuzborskij · András György · Csaba Szepesvari
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Poster
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Wed 11:00
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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
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Workshop
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Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction
Feng Chen · Qi Qi · Jiayu Qiu · Kemeng Zhang · Xiang Li
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Workshop
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Uncertainty Quantification From Scaling Laws in Deep Neural Networks
Ibrahim Elsharkawy · Yonatan Kahn · Benjamin Hooberman
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Workshop
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Sat 12:00
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Hessian-Free Laplace in Bayesian Deep Learning
James McInerney · Nathan Kallus
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Workshop
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Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
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Workshop
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Catching the Spikes: Heteroscedastic Uncertainty Quantification for Enhanced Malaria Prediction
Feng Chen · Qi Qi · Jiayu Qiu · Kemeng Zhang · Xiang Li
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Workshop
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Early Exiting in Deep Neural Networks via Dirichlet-based Uncertainty Quantification
Feng Xia · Jake Snell · Tom Griffiths
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Affinity Event
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Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud · Herve Lombaert · Samuel Kadoury
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Workshop
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Uncertainty Quantification for Martian Surface Spectral Analysis using Bayesian Deep Learning
Mark Hinds · Michael Geyer · Natalie Klein
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Workshop
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Uncertainty Quantification for Surface Ozone Emulators using Deep Learning
Kelsey Doerksen · Yuliya Marchetti · James Montgomery · Yarin Gal · Freddie Kalaitzis · Kazuyuki Miyazaki · Kevin Bowman · Steven Lu
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