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Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

12 March 2024
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
ArXivPDFHTML

Papers citing "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction"

13 / 13 papers shown
Title
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
Mahan Rafidashti
Ji Lan
M. Fatemi
Junsheng Fu
Lars Hammarstrand
Lennart Svensson
36
0
0
01 Apr 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Sayak Nag
Udita Ghosh
Sarosij Bose
Calvin-Khang Ta
Jiachen Li
A. Roy-Chowdhury
61
0
0
18 Mar 2025
Conformal forecasting for surgical instrument trajectory
Sara Sangalli
Gary Sarwin
Ertunc Erdil
Alessandro Carretta
V. Staartjes
Carlo Serra
E. Konukoglu
68
0
0
13 Mar 2025
Batch Multivalid Conformal Prediction
Batch Multivalid Conformal Prediction
Christopher Jung
Georgy Noarov
Ramya Ramalingam
Aaron Roth
58
48
0
30 Sep 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
125
0
03 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction
Sample-Efficient Safety Assurances using Conformal Prediction
Rachel Luo
Shengjia Zhao
Jonathan Kuck
B. Ivanovic
Silvio Savarese
Edward Schmerling
Marco Pavone
48
56
0
28 Sep 2021
Conformal Prediction using Conditional Histograms
Conformal Prediction using Conditional Histograms
Matteo Sesia
Yaniv Romano
53
66
0
18 May 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
176
184
0
07 Jan 2021
Admissible ways of merging p-values under arbitrary dependence
Admissible ways of merging p-values under arbitrary dependence
V. Vovk
Bin Wang
Ruodu Wang
31
65
0
28 Jul 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
121
68
0
31 Dec 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Combining p-values via averaging
Combining p-values via averaging
V. Vovk
Ruodu Wang
FedML
55
205
0
20 Dec 2012
Cross-conformal predictors
Cross-conformal predictors
V. Vovk
110
194
0
03 Aug 2012
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