p-kohler / Training-robust-neural-networks-using-Lipschitz-bounds
Here you can find the code for the paper "Training robust neural networks using Lipschitz bounds"
☆10Updated 4 years ago
Alternatives and similar repositories for Training-robust-neural-networks-using-Lipschitz-bounds:
Users that are interested in Training-robust-neural-networks-using-Lipschitz-bounds are comparing it to the libraries listed below
- AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications o…☆18Updated 10 months ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆37Updated 5 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- ☆14Updated 3 years ago
- ☆10Updated last year
- Multi-task end-to-end predict-then-optimize☆12Updated last year
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11Updated 11 months ago
- ☆21Updated 11 months ago
- ☆24Updated last year
- COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility☆14Updated 4 years ago
- Learning dynamical systems from data: Koopman☆16Updated 5 years ago
- ☆8Updated 4 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- Power system generation scheduling and co-simulation with dynamics.☆12Updated this week
- TOPS (Tiny Open Power System Simulator), for performing dynamic RMS-type power system simulations in Python.☆24Updated last month
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆25Updated 2 years ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆30Updated 3 weeks ago
- The MATLAB source code☆15Updated 5 years ago
- ☆25Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 8 months ago
- ☆18Updated 3 years ago
- ☆10Updated 2 years ago
- Code repo for E-Energy 2019 paper☆18Updated 4 years ago
- Scalable Probabilistic Estimates of Electric Vehicle Charging (SPEECh)☆12Updated 5 months ago
- An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.☆21Updated 4 years ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 3 years ago
- ☆19Updated 3 years ago
- ☆30Updated 2 years ago