Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.13640
Cited By
v1
v2
v3
v4
v5 (latest)
NOMU: Neural Optimization-based Model Uncertainty
International Conference on Machine Learning (ICML), 2021
26 February 2021
Jakob Heiss
Jakob Weissteiner
Hanna Wutte
Sven Seuken
Josef Teichmann
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"NOMU: Neural Optimization-based Model Uncertainty"
16 / 16 papers shown
Scalable neural network-based blackbox optimization
Structural And Multidisciplinary Optimization (SMO), 2025
Pavankumar Koratikere
Leifur Leifsson
268
0
0
05 Aug 2025
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi
Juraj Bodik
Jakob Heiss
Bin Yu
UQCV
UD
477
3
0
10 Jul 2025
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Michael Kirchhof
Gjergji Kasneci
Enkelejda Kasneci
LLMAG
373
22
0
28 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
ACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
1.1K
12
0
04 May 2025
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
UQCV
400
22
0
07 May 2024
Deterministic Langevin Unconstrained Optimization with Normalizing Flows
James M. Sullivan
U. Seljak
247
0
0
01 Oct 2023
Learning Generative Models for Climbing Aircraft from Radar Data
Journal of Aerospace Information Systems (JAIS), 2023
Nick Pepper
Marc Thomas
270
11
0
26 Sep 2023
Machine Learning-Powered Combinatorial Clock Auction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ermis Soumalias
Jakob Weissteiner
Jakob Heiss
Sven Seuken
203
6
0
20 Aug 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Neural Information Processing Systems (NeurIPS), 2023
Ziyan Wang
Hao Wang
UQCV
716
0
0
11 Jun 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Jiazheng Li
ZHAOYUE SUN
Bin Liang
Lin Gui
Yulan He
292
2
0
06 Jun 2023
How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part II: the Multi-D Case of Two Layers with Random First Layer
Jakob Heiss
Josef Teichmann
Hanna Wutte
AI4CE
218
2
0
20 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions
AAAI Conference on Artificial Intelligence (AAAI), 2023
Y. Stoyanova
Soroush Ghandi
M. Tavakol
UQCV
226
2
0
28 Feb 2023
Machine Learning-Powered Course Allocation
ACM Conference on Economics and Computation (EC), 2022
Ermis Soumalias
Behnoosh Zamanlooy
Jakob Weissteiner
Sven Seuken
353
13
0
03 Oct 2022
Bayesian Optimization-based Combinatorial Assignment
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jakob Weissteiner
Jakob Heiss
Julien N. Siems
Sven Seuken
401
13
0
31 Aug 2022
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization
Jakob Heiss
Josef Teichmann
Hanna Wutte
MLT
256
5
0
31 Dec 2021
Universal Regular Conditional Distributions
Constructive approximation (Constr. Approx.), 2021
Anastasis Kratsios
447
3
0
17 May 2021
1
Page 1 of 1
