Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration | Paper Citation Record

Observation 682f820f-3503-4d33-a633-09336214f3ed · outbound

This paper cites Aleatoric and epistemic uncer- tainty in machine learning: an introduction to concepts and meth- ods,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Aleatoric and epistemic uncer- tainty in machine learning: an introduction to concepts and meth- ods,

Reference 1

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This paper cites Systems and methods for detecting traffic lights,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Systems and methods for detecting traffic lights,

Reference 2

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Observation 1237a3f1-25a4-4250-b96d-b5b6d1ac176c · outbound

This paper cites Vision-based machine learning model for autonomous driving with adjustable virtual camera,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Vision-based machine learning model for autonomous driving with adjustable virtual camera,

Reference 3

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This paper cites Neural network trajectory prediction,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Neural network trajectory prediction,

Reference 4

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This paper cites Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield,

Reference 5

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This paper cites Obtaining Well Calibrated Probabilities Using Bayesian Binning,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Obtaining Well Calibrated Probabilities Using Bayesian Binning,

Reference 6

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This paper cites On the Calibration of Un- certainty Estimation in LiDAR-based Semantic Segmentation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the Calibration of Un- certainty Estimation in LiDAR-based Semantic Segmentation,

Reference 7

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Observation b306acb5-6c98-4d67-a2f0-d4971eb82b87 · outbound

This paper cites A mathematical theory of communication,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A mathematical theory of communication,

Reference 8

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This paper cites Time-dynamic estimates of the reliability of deep semantic segmentation networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Time-dynamic estimates of the reliability of deep semantic segmentation networks,

Reference 9

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Observation fc338222-97a0-4563-ba06-7d199474ff93 · outbound

This paper cites Decoupling of neural network calibration measures,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Decoupling of neural network calibration measures,

Reference 10

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Observation 8faccd4c-e410-43ae-89b4-f41db0fd2ea9 · outbound

This paper cites Parameterized temperature scaling for boosting the expressive power in post-hoc uncertainty cali- bration,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Parameterized temperature scaling for boosting the expressive power in post-hoc uncertainty cali- bration,

Reference 11

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Observation 04e660af-782e-4f30-8089-ae2a031785d3 · outbound

This paper cites Physics-Informed Computer Vision: A Review and Perspectives,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physics-Informed Computer Vision: A Review and Perspectives,

Reference 12

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This paper cites On calibration of modern neural networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On calibration of modern neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.821417Z

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This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 14

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This paper cites Calibrating language models with adaptive temperature scaling,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Calibrating language models with adaptive temperature scaling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.801894Z

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Observation e30fb637-67e1-4aa6-ad9f-e3553677d8a2 · outbound

This paper cites Mix-n-Match: ensemble and compositional methods for uncertainty calibration in deep learning,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Mix-n-Match: ensemble and compositional methods for uncertainty calibration in deep learning,

Reference 16

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Observation 244eb41c-69bb-4599-82d6-751ad39dae30 · outbound

This paper cites Sample- dependent adaptive temperature scaling for improved calibration,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sample- dependent adaptive temperature scaling for improved calibration,

Reference 17

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Observation b2601bb9-499f-41fb-9a55-ab6bee01f309 · outbound

This paper cites Auto-Encoding Variational Bayes.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Auto-Encoding Variational Bayes

Reference 18

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This paper cites ATS: Adap- tive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration ATS: Adap- tive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.782505Z

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Observation 754c6259-bc95-4dd7-992c-697e3cc51b04 · outbound

This paper cites Rudolph, J.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Rudolph, J

Reference 20

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Observation 325f437a-4d54-46ed-8407-5f51a4e3f45c · outbound

This paper cites Upton and I.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Upton and I

Reference 21

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Observation 8ff2fb91-4c57-42f6-8c7e-4838567a7524 · outbound

This paper cites A survey of uncertainty in deep neural networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A survey of uncertainty in deep neural networks,

Reference 22

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Observation b4f293c3-7bb4-49e5-832c-3bd62c32f1c1 · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles,

Reference 23

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Observation ab1ff6e9-54a8-461e-87da-1c24874dfe09 · outbound

This paper cites DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Seg- mentation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Seg- mentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.444393Z

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This paper cites Efficient multi- task uncertainties for joint semantic segmentation and monocular depth estimation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Efficient multi- task uncertainties for joint semantic segmentation and monocular depth estimation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.743500Z

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This paper cites Diffraction Theory of the Knife-Edge Test and its Improved Form, The Phase-Contrast Method,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Diffraction Theory of the Knife-Edge Test and its Improved Form, The Phase-Contrast Method,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.450837Z

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This paper cites Beugungstheorie des schneidenver-fahrens und seiner verbesserten form, der phasenkontrastmethode,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Beugungstheorie des schneidenver-fahrens und seiner verbesserten form, der phasenkontrastmethode,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.734293Z

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This paper cites On the circle polynomials of Zernike and related orthogonal sets,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the circle polynomials of Zernike and related orthogonal sets,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.724796Z

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This paper cites Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction,

Reference 29

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This paper cites Image-based wavefront sensing for astronomy using neural networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image-based wavefront sensing for astronomy using neural networks,

Reference 30

Resolution: verified exact; doi, observed 2026-08-11T12:57:43.793800Z

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This paper cites Adaptive Optics for the ESO Very Large Telescope,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive Optics for the ESO Very Large Telescope,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.705142Z

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Observation 1a596ae1-f5b0-434e-b26b-7e140cfe362b · outbound

This paper cites Adaptive optics for high-resolution imaging,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive optics for high-resolution imaging,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.470819Z

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Observation 876157ba-5318-49f9-8bd1-53519a0e746d · outbound

This paper cites Physics-Driven Turbulence Image Restoration with Stochastic Refinement,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physics-Driven Turbulence Image Restoration with Stochastic Refinement,

Reference 33

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Observation 6aec0ead-f4e0-4999-bb1c-581713b8003b · outbound

This paper cites An Image is Worth 16x16 Words: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. XX, NO. X, APRIL 2025 15 Transformers for Image Recognition at Scale,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration An Image is Worth 16x16 Words: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. XX, NO. X, APRIL 2025 15 Transformers for Image Recognition at Scale,

Reference 34

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This paper cites A New Coefficient of Correlation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A New Coefficient of Correlation,

Reference 35

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Observation e72b9b20-432c-494c-9fc1-04a51f95f38d · outbound

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the power of Chatterjees rank correlation,

Reference 36

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Observation 21f22643-d764-406b-b5d4-35472c6a527f · outbound

This paper cites Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient,

Reference 37

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Observation 87e75e68-f314-4b17-b558-c2ee0862ef9e · outbound

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 38

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Observation 91f1e306-6ec3-4228-ae4e-627e43ec46a2 · outbound

This paper cites Physiological Control Systems : Analysis, Simulation, and Estimation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physiological Control Systems : Analysis, Simulation, and Estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.656264Z

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Observation dbff3e20-aebb-4e4f-ba4a-d3d818c52916 · outbound

This paper cites Calibration of transient groundwater models using time series analysis and moment matching,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Calibration of transient groundwater models using time series analysis and moment matching,

Reference 40

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Observation dcf3d2c3-f26f-4cd5-adb6-cf19bd04634f · outbound

This paper cites MTF as a performance indicator for AI algorithms?.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration MTF as a performance indicator for AI algorithms?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.635335Z

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Observation f59dcc1f-db9a-406b-9678-9c3244e0890e · outbound

This paper cites Principles of Harmonic Analysis,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Principles of Harmonic Analysis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.624017Z

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Observation ff22110f-4d4d-4837-abdb-d5fe591c3ae7 · outbound

This paper cites Image Segmentation Using Deep Learning: A Survey.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image Segmentation Using Deep Learning: A Survey

Reference 43

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Observation e30a40a7-1019-49c2-a825-0f8b98b9ea2b · outbound

This paper cites Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.614035Z

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Observation 615c0935-1622-4679-81f6-bc86f5fc8371 · outbound

This paper cites Weiss, P.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Weiss, P

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.604238Z

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Observation ab4af41c-3360-4844-81ec-e2360fccba25 · outbound

This paper cites Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmo- spheric Turbulence Model,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmo- spheric Turbulence Model,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.594927Z

Source-reported events for the cited work

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Observation 9c7ee16b-ff74-494a-b4f0-59081cedcc43 · outbound

This paper cites Novel developments of refractive power measurement techniques in the automotive world,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Novel developments of refractive power measurement techniques in the automotive world,

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T12:57:44.584607Z

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Observation f004c38b-5cca-4217-813f-8b199d19d52f · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Deep Residual Learning for Image Recognition,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.574751Z

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Observation e318652d-4dfd-41ea-a24b-fdd8bd5f6ea0 · outbound

This paper cites Residual networks behave like ensembles of relatively shallow networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Residual networks behave like ensembles of relatively shallow networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.565112Z

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Observation 55107d6a-3ff3-4058-849c-51534e0a46f9 · outbound

This paper cites Norm-Preservation: Why Residual Networks Can Become Extremely Deep?.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Norm-Preservation: Why Residual Networks Can Become Extremely Deep?

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.555766Z

Source-reported events for the cited work

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Observation 2a9896e0-3496-4371-84e8-46128340f581 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A2D2: Audi Autonomous Driving Dataset,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.546206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b2892f1-105e-433b-b009-55e93dc9e576 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.536496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f62fd3bd-bafb-4dde-a137-b6fdaf7fb47c · outbound

This paper cites Focal Loss for Dense Object Detection,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Focal Loss for Dense Object Detection,

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-11T12:57:43.541770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b148f32-0402-4736-8ecd-d899e8b51c33 · outbound

This paper cites Loss Functions for Image Restoration With Neural Networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Loss Functions for Image Restoration With Neural Networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.526738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c3047b8-4c08-4e09-b2ba-114e224c3dbb · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.516906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f450c769-884f-4399-aae6-8d575dc78548 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Gaussian Error Linear Units (GELUs)

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.551936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b490917-f36e-4215-983e-87a0d35fa73e · outbound

This paper cites Rectified linear units improve restricted Boltzmann machines,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Rectified linear units improve restricted Boltzmann machines,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.507003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a326e542-7ef6-407c-84a6-19252466c47a · outbound

This paper cites Lecture Notes on Machine Learning: Neurons with Non-Monotonic Activation Functions,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Lecture Notes on Machine Learning: Neurons with Non-Monotonic Activation Functions,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.496911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 933b7cb7-1739-4774-93be-e6f946ce3463 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.562459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8b7c5d-f02e-450f-a103-9ce6d16511d4 · outbound

This paper cites Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.486573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49b95986-0bbd-4bd0-9fda-8460dbe31105 · outbound

This paper cites Deep Optics for Monocular Depth Es- timation and 3D Object Detection,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Deep Optics for Monocular Depth Es- timation and 3D Object Detection,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.476647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9674e0f5-86a9-40a8-8a09-ce3880d1bde2 · outbound

This paper cites Differen- tiable Compound Optics and Processing Pipeline Optimization for End- to-end Camera Design,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Differen- tiable Compound Optics and Processing Pipeline Optimization for End- to-end Camera Design,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.572976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5d7835-f3ed-43c4-9a79-81d78ba29602 · outbound

This paper cites Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.576352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf13000-a026-4abf-b7ea-be3af6a2a5c3 · outbound

This paper cites GUM-compliant neural network robustness verification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration GUM-compliant neural network robustness verification,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.466776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ae88dae-b7ea-484f-9f63-90c7f57e968c · outbound

This paper cites Introduction to Monte Carlo simulation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Introduction to Monte Carlo simulation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.456999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45bc80dc-e767-4b98-bdc8-76bd93dcabbe · outbound

This paper cites Evaluation of measure- ment data, Guide to the expression of uncertainty in measurement (GUM),.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Evaluation of measure- ment data, Guide to the expression of uncertainty in measurement (GUM),

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.447079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b032a3d0-efc7-41be-9b4c-1238c07d5750 · outbound

This paper cites Pesch, Bestimmung der Messunsicherheit nach GUM, Grundlagen der Metrologie.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Pesch, Bestimmung der Messunsicherheit nach GUM, Grundlagen der Metrologie

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.436659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 152c1105-05a9-4687-bbe0-116584442cea · outbound

This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:57:44.426180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 477ab114-4350-448f-af40-7c40f803ab07 · outbound

This paper cites Generalizations of Mean Square Error Applied to Ridge Regression,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Generalizations of Mean Square Error Applied to Ridge Regression,

Reference 69

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:57:44.046922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f721a4ec-8221-4d93-8852-a41877493fc3 · outbound

This paper cites Further results on the mean square error of ridge regression,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Further results on the mean square error of ridge regression,

Reference 70

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:57:43.980071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5aab573c-8565-46d0-8182-b42c609e9fee · outbound

This paper cites Estimating the mean and variance of the target probability distribution,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Estimating the mean and variance of the target probability distribution,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.415393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78bd6f67-938c-4619-90fb-2df711a367cc · outbound

This paper cites Cramér, Mathematical Methods of Statistics.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Cramér, Mathematical Methods of Statistics

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.606915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153f8f29-8715-49ac-b044-ee9344b2301d · outbound

This paper cites Information and the Accuracy Attainable in the Estimation of Statistical Parameters,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Information and the Accuracy Attainable in the Estimation of Statistical Parameters,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.404386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21035dfd-8c9d-488d-a12f-343655b93c79 · outbound

This paper cites Sur l’extension de certaines evaluations statistiques au cas de petits echantillons,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sur l’extension de certaines evaluations statistiques au cas de petits echantillons,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:57:44.393040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6faa1799-e979-49e7-88c7-7b6fa1269211 · outbound

This paper cites Automotive mass production of camera systems: Linking im- age quality to AI performance,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Automotive mass production of camera systems: Linking im- age quality to AI performance,

Reference 75

Resolution: verified exact; doi, observed 2026-08-11T12:57:43.659354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ea561ca-dfb7-4f7d-ab08-e05f387d8049 · outbound

This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:57:44.381061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3d045da-65bb-41bb-ae65-6e62a53fb09d · outbound

This paper cites Wavefront aberration measurements based on the Background Oriented Schlieren method,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Wavefront aberration measurements based on the Background Oriented Schlieren method,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T12:57:43.624629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers