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Affinity Workshop
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Estimating Uncertainty in Safety-Critical Deep Learning Models
Oishi Deb
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Workshop
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Comparison of Uncertainty Quantification in Time Series Regression
Levente Foldesi · Matias Valdenegro-Toro
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Workshop
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Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems
Steffen Ridderbusch · Sina Ober-Blöbaum · Paul Goulart
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Workshop
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Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn · Yarin Gal · Sebastian Farquhar
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Workshop
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Uncertainty in Neural Networks vs. Dermatologists for Skin Lesion Classification
Pieter Van Molle · Sofie Mylle · Tim Verbelen · Cedric De Boom · Bert Vankeirsbilck · Evelien Verhaeghe · Bart Dhoedt · Lieve Brochez
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Workshop
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Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom Badings · Licio Romao · Alessandro Abate · Nils Jansen
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Workshop
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Introspection, Updatability, and Uncertainty Quantification with Transformers: Concrete Methods for AI Safety
Allen Schmaltz · Danielle Rasooly
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Workshop
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VI2N: A Network for Planning Under Uncertainty based on Value of Information
Samantha Johnson · Michael Buice · Koosha Khalvati
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Workshop
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Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel · Nipun Batra · Kevin Murphy
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Workshop
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Engineering Uncertainty Representations to Monitor Distribution Shifts
Thomas Bonnier · Benjamin Bosch
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Workshop
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Graphical Models are All You Need: Per-interaction reconstruction uncertainties in a dark matter detection experiment
Christina Peters · Aaron Higuera · Shixiao Liang · Waheed Bajwa · Christopher Tunnell
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Workshop
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Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Kumud Lakara · Matias Valdenegro-Toro
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