Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
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Updated
Jun 21, 2024 - Python
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
Code for AAAI 2024 paper: LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Mitigating the high computational costs associated with applying Bayesian model updating in inverse problems / Uncertainty Quantification and Efficient Sensitivity Analysis by using Surrogate Models
Neural architecture search for object detectors using non dominated sorting genetic algorithm and surrogate optimization
Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Machine Learning as an alternative to simulation models for decision making
Two Blade Propeller Surrogate Model using XGBoost Algorithm
Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.
Source code for Generative Adversarial Bayesian Optimization (GABO) for Surrogate Objectives
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
Open-source constructor of surrogates and metamodels
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Statistical learning models library for blackbox optimization
eXplainable Artificial Intelligence (XAI) Basic Algorithms on Iris Dataset
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