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A Library for Uncertainty Quantification.
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
[ICCV 2021 Oral] Deep Evidential Action Recognition
a modeling environment tailored to parameter estimation in dynamical systems
A phenology modelling framework in R
Delta hedging under SABR model
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Official code for "On Calibrating Diffusion Probabilistic Models"
A toolbox for the calibration and evaluation of simulation models.
pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks
Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.
HypeLoRA: Hypernetwork-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
This is the official PyTorch codebase for the ACL 2023 paper: "What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization".
Simulating and Optimising Dynamical Models in Python 3
System Dynamics Review (2021)
This project aims to construct the Equity Implied Volatility surface under the SABR model.
ARBO is a Matlab/C++ package for simulation and analysis of arbovirus nonlinear dynamics.
[ICLR'26] Official code for "A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models"
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