Faithful Heteroscedastic Regression with Neural Networks

Faithful Heteroscedastic Regression with Neural Networks

18 December 2022

Megan D. Schertzer

Neville E. Sanjana

David A. Knowles

Papers citing "Faithful Heteroscedastic Regression with Neural Networks"

12 / 12 papers shown

Title
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models Mayank Nautiyal Stela Arranz Gheorghe Kristiana Stefa Li Ju Ida-Maria Sintorn Prashant Singh VLM 56 0 0 14 Mar 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Aziz Shameem Mathieu Salzmann Alexandre Alahi 39 1 0 14 Feb 2025
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 22 0 0 02 Oct 2024
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning Farhad Pourkamali-Anaraki Jamal F. Husseini Scott E. Stapleton UD 48 2 0 21 Feb 2024
Robust Estimation of Causal Heteroscedastic Noise Models Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen 19 1 0 15 Dec 2023
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Mathieu Salzmann Alexandre Alahi 19 3 0 29 Oct 2023
Understanding Pathologies of Deep Heteroskedastic Regression Eliot Wong-Toi Alex Boyd Vincent Fortuin Stephan Mandt UQCV 13 3 0 29 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 32 11 0 25 May 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 20 32 0 11 Apr 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 26 1 0 21 Feb 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015