First application of split conformal prediction to neural operators, providing distribution-free intervals with 89.1% empirical coverage on heat conduction benchmarks and an adaptive normalized variant using MC Dropout.
Petrv2: A unified framework for 3d perception from multi-camera images
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Describes a camera-radar fusion network that uses raw RD spectra and BEV-polar camera features for BEV object detection, evaluated for accuracy and compute on the RADIal dataset.
citing papers explorer
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Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation
First application of split conformal prediction to neural operators, providing distribution-free intervals with 89.1% empirical coverage on heat conduction benchmarks and an adaptive normalized variant using MC Dropout.
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A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data
Describes a camera-radar fusion network that uses raw RD spectra and BEV-polar camera features for BEV object detection, evaluated for accuracy and compute on the RADIal dataset.
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