Search Results for author:
Found 9 papers, 5 papers with code
Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems
Neural networks can emulate nonlinear physical systems with high accuracy, yet they may produce physically-inconsistent results when violating fundamental constraints.
Computational Physics Atmospheric and Oceanic Physics
Learning in the Machine: To Share or Not to Share?
Weight-sharing is one of the pillars behind Convolutional Neural Networks and their successes.
Questions to Guide the Future of Artificial Intelligence Research
Biology has clear constraints but by not using it as a guide we are constraining ourselves.
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts
Transfer learning allows us to train deep architectures requiring a large number of learned parameters, even if the amount of available data is limited, by leveraging existing models previously trained for another task.
Giving Up Control: Neurons as Reinforcement Learning Agents
Artificial Intelligence has historically relied on planning, heuristics, and handcrafted approaches designed by experts.
A Fortran-Keras Deep Learning Bridge for Scientific Computing
Implementing artificial neural networks is commonly achieved via high-level programming languages like Python and easy-to-use deep learning libraries like Keras.
Sherpa: Robust Hyperparameter Optimization for Machine Learning
Sherpa is a hyperparameter optimization library for machine learning models.
Deep-Learning-Based Kinematic Reconstruction for DUNE
To precisely reconstruct these kinematic characteristics of detected interactions at DUNE, we have developed and will present two CNN-based methods, 2-D and 3-D, for the reconstruction of final state particle direction and energy, as well as neutrino energy.
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
We also use the classification model to identify regions of interest and localize the disease in the radiographic images, as illustrated through visual heatmaps.
