Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2207.10074
Cited By
v1
v2 (latest)
Semantic uncertainty intervals for disentangled latent spaces
Neural Information Processing Systems (NeurIPS), 2022
20 July 2022
S. Sankaranarayanan
Anastasios Nikolas Angelopoulos
Stephen Bates
Yaniv Romano
Phillip Isola
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Semantic uncertainty intervals for disentangled latent spaces"
20 / 20 papers shown
Video Finetuning Improves Reasoning Between Frames
Ruiqi Yang
Tian Yun
Zihan Wang
Ellie Pavlick
LRM
175
0
0
17 Nov 2025
Statistical Methods in Generative AI
Edgar Dobriban
353
4
0
08 Sep 2025
QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
C. T. Ye
Shamus Li
Tyler King
Kristina Monakhova
UQCV
226
0
0
19 Jul 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
321
2
0
14 May 2025
Generative Uncertainty in Diffusion Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Metod Jazbec
Eliot Wong-Toi
Guoxuan Xia
Dan Zhang
Eric T. Nalisnick
Stephan Mandt
DiffM
613
9
0
28 Feb 2025
Conformal Prediction: A Data Perspective
ACM Computing Surveys (ACM CSUR), 2024
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
2.1K
47
0
09 Oct 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Yuan Liu
Chenxu Zhao
Lingjuan Lyu
Quanzeng You
Mengdi Huai
Fenglong Ma
FedML
341
16
0
03 Jul 2024
Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec
Alexander Timans
Tin Hadvzi Veljković
K. Sakmann
Dan Zhang
C. A. Naesseth
Eric T. Nalisnick
368
19
0
31 May 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
438
5
0
28 May 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections
Computer Vision and Pattern Recognition (CVPR), 2023
Omer Yair
E. Nehme
T. Michaeli
UQCV
385
3
0
12 Dec 2023
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
International Conference on Learning Representations (ICLR), 2023
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
362
12
0
22 Nov 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration
International Conference on Learning Representations (ICLR), 2023
Noa Cohen
Hila Manor
Yuval Bahat
T. Michaeli
DiffM
415
13
0
24 Oct 2023
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection
Rahul Vishwakarma
Amin Rezaei
408
9
0
14 Oct 2023
Uncertainty Quantification via Neural Posterior Principal Components
Neural Information Processing Systems (NeurIPS), 2023
E. Nehme
Omer Yair
T. Michaeli
UQCV
346
21
0
27 Sep 2023
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
International Conference on Learning Representations (ICLR), 2023
Hila Manor
T. Michaeli
UQCV
335
24
0
24 Sep 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
International Conference on Machine Learning (ICML), 2023
Charles Lu
Yaodong Yu
Sai Praneeth Karimireddy
Michael I. Jordan
Ramesh Raskar
FedML
364
46
0
27 May 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Omer Belhasin
Yaniv Romano
Daniel Freedman
Ehud Rivlin
Michael Elad
370
34
0
17 May 2023
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Gilad Kutiel
Regev Cohen
Michael Elad
Daniel Freedman
UQCV
243
5
0
28 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models
Eliahu Horwitz
Yedid Hoshen
DiffM
289
34
0
17 Nov 2022
Conformal Risk Control
International Conference on Learning Representations (ICLR), 2022
Anastasios Nikolas Angelopoulos
Stephen Bates
Adam Fisch
Lihua Lei
Tal Schuster
632
236
0
04 Aug 2022
1
Page 1 of 1