salomonhotegni / MDMTN
Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"
☆12Updated last month
Related projects ⓘ
Alternatives and complementary repositories for MDMTN
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆18Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆8Updated last week
- ☆20Updated 3 years ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆9Updated last year
- Physics informed neural networks for control-oriented building thermal models☆23Updated 2 years ago
- Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differenc…☆9Updated 3 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆52Updated 3 months ago
- standard, parallel, constrained, and multiobjective EGO algorithms☆29Updated 8 months ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆15Updated 2 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆15Updated 10 months ago
- ☆18Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- MR elastography with physics-informed neural networks☆11Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆54Updated 2 weeks ago
- ☆10Updated 3 years ago
- Python package for 3D convolutional layers using Kolmogorov-Arnold Network (KAN)☆10Updated 5 months ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆18Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆61Updated last year
- Latin hypercube sample with constraints.☆13Updated 9 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆13Updated 3 months ago
- ☆19Updated 2 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Python platform for parallel Surrogate-Based Optimization☆12Updated last year
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆25Updated 4 years ago
- ☆14Updated 3 months ago
- A step-by-step guide for surrogate optimization using Gaussian Process surrogate model☆29Updated 3 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆42Updated last year
- This is the implementation of the PI-UNet for HSL-TFP☆19Updated last year
- Multi-fidelity regression with neural networks☆8Updated last year