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13 Results
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Poster
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Fri 16:30 |
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization Mijeong Kim · Jongwoo Lim · Bohyung Han |
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Workshop
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Computation-Aware Robust Gaussian Processes Marshal Sinaga · Julien Martinelli · Samuel Kaski |
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Poster
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Thu 11:00 |
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting Ruiqi Li · Yiu-ming Cheung |
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Poster
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Wed 16:30 |
Estimating Epistemic and Aleatoric Uncertainty with a Single Model Matthew Chan · Maria Molina · Chris Metzler |
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Workshop
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An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations Özge Sürer · Stefan M. Wild |
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Workshop
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Sat 12:00 |
Conformal Reasoning: Uncertainty Estimation in Interactive Environments Eric Frankel · Stella Li · Lillian Ratliff · Yulia Tsvetkov · Sewoong Oh · Pang Wei Koh |
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Workshop
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Computationally Efficient Laplace Approximations for Neural Networks Swarnali Raha · Kshitij Khare · Rohit Patra |
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Workshop
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Sat 12:00 |
Robust Conformal Prediction Using Privileged Information Shai Feldman · Yaniv Romano |
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Poster
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Wed 11:00 |
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs Xinyi HU · Jasper Lee · Jimmy Lee · Peter Stuckey |
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Poster
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Wed 16:30 |
Uncertainty-aware Fine-tuning of Segmentation Foundation Models Kangning Liu · Brian Price · Jason Kuen · Yifei Fan · Zijun Wei · Luis Figueroa · Krzysztof Geras · Carlos Fernandez-Granda |
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Workshop
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Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification Gregory Canal · Vladimir Leung · John Guerrerio · Philip Sage · I-Jeng Wang |
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Workshop
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Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur · Colin Samplawski · Adam Cobb · Anirban Roy · Brian Matejek · Manoj Acharya · Daniel Elenius · Alexander Berenbeim · John Pavlik · Nathaniel Bastian · Susmit Jha |