Hybrid Physical - Deep Learning Models for Astronomical Inverse Problems
May 29, 2019François Lanusse
Improved learning for materials and chemical structures through symmetry, hierarchy and similarity
May 29, 2019
Deducing Inference from Hyperspectral Imaging of Materials Using Deep Recurrent Neural Networks
May 29, 2019
Putting Non-Euclidean Geometry to Work in ML: Hyperbolic and Product Manifold Embeddings
May 29, 2019
FPGA-accelerated machine learning inference as a service for particle physics computing
May 29, 2019
