Detecting Dispersed Radio Transients in Real Time Using Convolutional Neural Networks

Abstract We present a methodology for automated real-time analysis of a radio image data stream w...

End-to-End Weak Supervision

Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski https://arxiv.org/abs/2107.02233 ...

Geometric Clifford Algebra Networks

Abstract We propose Geometric Clifford Algebra Networks (GCANs) that are based on symmetry group ...

Glow: Generative Flow with Invertible 1x1 Convolutions

Diederik P. Kingma, Prafulla Dhariwal https://arxiv.org/abs/1807.03039 This paper presents...

Latent Variable Model

Instead of targeting directly \(\min KL(q(\mathbf x) || p(\mathbf x)),\) latent variable models ...

Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Abstract We propose parameterizing the population distribution of the gravitational wave populati...

Real-time detection of anomalies in large-scale transient surveys

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan https://arxi...

Self-Supervised Inference in State-Space Models

Abstract We perform approximate inference in state-space models with nonlinear state transitions....

Variational Autoencoder

The Variational Autoencoder (Kingma & Welling, 2013) is a [[Latent Variable Model]] that ...

Variational Diffusion Models

[[January 2022. Note, this is still work in progress. If anything about the post or code is not c...