• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 16 matches

• 2024
• 
  Jochen Stiasny, Spyros Chatzivasileiadis:
  Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. CoRR abs/2401.05211 (2024)
• 
  Petros Ellinas, Rahul Nellikkath, Ignasi Ventura, Jochen Stiasny, Spyros Chatzivasileiadis:
  Correctness Verification of Neural Networks Approximating Differential Equations. CoRR abs/2402.07621 (2024)
• 
  Ignasi Ventura Nadal, Jochen Stiasny, Spyros Chatzivasileiadis:
  Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations. CoRR abs/2404.13325 (2024)
• 2023
• 
  Jochen Stiasny, Spyros Chatzivasileiadis:
  Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. CoRR abs/2303.08994 (2023)
• 
  Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang:
  Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR abs/2303.10256 (2023)
• 2022
• 
  Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis:
  Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC 2022: 803-816
• 
  Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis:
  Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR abs/2203.07505 (2022)
• 
  Robert I. Hamilton, Jochen Stiasny, Tabia Ahmad, Samuel Chevalier, Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis, Panagiotis N. Papadopoulos:
  Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. CoRR abs/2209.05793 (2022)
• 
  Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis:
  Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. CoRR abs/2212.11911 (2022)
• 2021
• 
  Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis:
  Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CDC 2021: 4418-4423
• 
  Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis:
  Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. SmartGridComm 2021: 438-443
• 
  Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis:
  Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CoRR abs/2103.17004 (2021)
• 
  Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis:
  Contracting Neural-Newton Solver. CoRR abs/2106.02543 (2021)
• 
  Jochen Stiasny, Georgios S. Misyris, Spyros Chatzivasileiadis:
  Transient Stability Analysis with Physics-Informed Neural Networks. CoRR abs/2106.13638 (2021)
• 
  Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis:
  Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. CoRR abs/2106.15987 (2021)
• 2020
• 
  Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis:
  Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. CoRR abs/2004.04026 (2020)