Improved learning for materials and chemical structures through symmetry, hierarchy and similarity Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Improved learning for materials and chemical structures through symmetry, hierarchy and similarity
Deducing Inference from Hyperspectral Imaging of Materials Using Deep Recurrent Neural Networks Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Deducing Inference from Hyperspectral Imaging of Materials Using Deep Recurrent Neural Networks
Putting Non-Euclidean Geometry to Work in ML: Hyperbolic and Product Manifold Embeddings Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Putting Non-Euclidean Geometry to Work in ML: Hyperbolic and Product Manifold Embeddings
Flow-based generative models for lattice field theory Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Flow-based generative models for lattice field theory
Generative models as priors for signal denoising Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Generative models as priors for signal denoising
Session Panel: Incorporating Physics directly into the Models Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Session Panel: Incorporating Physics directly into the Models
Cosmology for Machine Learning Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Cosmology for Machine Learning
Physics Constrained Fluid Flow Prediction using Lyapunov's Method Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Physics Constrained Fluid Flow Prediction using Lyapunov's Method
FPGA-accelerated machine learning inference as a service for particle physics computing Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about FPGA-accelerated machine learning inference as a service for particle physics computing
Machine learning in high-energy particle physics experiments, from simulation, through reconstruction to physics analysis Presented at the Physics in Machine Learning Workshop held at BIDS May 29, 2019. Share this video Facebook LinkedIn Twitter Email Read more about Machine learning in high-energy particle physics experiments, from simulation, through reconstruction to physics analysis
