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Inference for Multi-Messenger Astrophysics Workshop
ML4Science
May 30, 2019
Joshua Bloom
Wrap-up and SCiMMA
ML4Science
May 30, 2019
Session Panel: Hardware Accelerating Inference and Federated Learning
ML4Science
May 30, 2019
Scalable and Efficient Deep Learning on Supercomputers
ML4Science
May 30, 2019
Specialized hardware for machine learning
ML4Science
May 30, 2019
Probabilistic computing architectures
ML4Science
May 30, 2019
Sharing without Showing: Enabling Secure Collaborative Learning via Cryptography
ML4Science
May 30, 2019
Session Panel: Frameworks and Approaches to Accelerate Discovery
ML4Science
May 30, 2019
Deep learning for the Zwicky Transient Facility: real/bogus classification and identification of fast-moving objects
ML4Science
May 30, 2019
Dimensionality Reduction of SDSS Data with Autoencoders
ML4Science
May 30, 2019
ANTARES: Machine Learning on Multi-messenger Alert Streams for Real-time Brokering
ML4Science
May 30, 2019
Machine and deep learning applications in LSST user generated data products
ML4Science
May 31, 2019
An Anomaly Catalog for the Dark Energy Survey
ML4Science
May 30, 2019
Session Panel: Inferencing, Emulators & Interpretability
ML4Science
May 30, 2019
Astrophysical Inference in the Era of Machine Learning
ML4Science
May 30, 2019
Driving towards interpretability
ML4Science
May 30, 2019
Spectral Emulators for expensive radiative transfer codes
ML4Science
May 30, 2019
Deep Learning for Gravitational Wave Astrophysics
ML4Science
May 30, 2019
Using Bayesian Inference to search for sub-threshold GW+EM signals
ML4Science
May 30, 2019
Session Panel: The Science of MMA
ML4Science
May 30, 2019
Gravitational wave parameter and population inference
ML4Science
May 30, 2019
Multi-Messenger Searches with Gravitational Waves and High-Energy Neutrinos
ML4Science
May 30, 2019
Numerical Relativity in the Era of Precision Gravity
ML4Science
May 30, 2019
Black Hole Binaries and AGN
ML4Science
May 30, 2019
Joint constraints on neutron star equation of state using gravitational waves
ML4Science
May 30, 2019
Introduction to MMA
ML4Science
May 30, 2019
Physics in Machine Learning Workshop
ML4Science
May 29, 2019
Joshua Bloom
Session Panel: Learning with Physical Systems
ML4Science
May 29, 2019
Reducing simulation dependence with deep learning
ML4Science
May 29, 2019
Reinforcement Learning, Control, and Inference
ML4Science
May 29, 2019
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