Contrastive Normalizing Flow: Robust Uncertainty Estimation Under Distributional Shifts
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Updated
Sep 24, 2021 - Python
Contrastive Normalizing Flow: Robust Uncertainty Estimation Under Distributional Shifts
Python codes to implement the PFGE algorithm
PointNetVLAD-FiLM: Implicit ensemble implementation using FiLM-Ensemble
The official code repo for HyperAgent algorithm published in ICML 2024.
Evaluate robustness of image processing algorithms
Opinionated pretty output of values and their errors rounded based on error.
Concepts - Search, Constraint Satisfaction & Uncertainity
Implementation of Monte Carlo Dropout for Bayesian Convolutional Neural Network, Investigating Uncertainty of DeepNeuralNetwork
Fine-tuned BERT model for multi-class uncertainty cues recognition.
Contains a method in Python to compute the uncertainty of an inventory (such as a pollutant inventory or a greenhouse gas inventory), based on input uncertainty for specific sub-categories of this inventory.
Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".
Gamma-Ray Event Reconstruction with Uncertainty Models
Accompanying repository for the paper "Probabilistic Calibration by Design for Neural Network Regression" (AISTATS 2024).
Surrogate Modelling package for OpenTURNS
Scripts for my master thesis "Orienting in an Uncertain World"
Python example scripts and useful functions
Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019
Assess the likelihood that a person will have a particular genetic trait
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