Author

Warren R. Morningstar

Observed names: Morningstar, Warren, Morningstar, Warren R, Morningstar, Warren R., Morningstar, Warren Richard, W. Morningstar, W. R. Morningstar, Warren Morningstar, Warren Richard Morningstar

Institution: Google (United States)

Observed institutions: Google (United States), Queen's University, University of Michigan, Kavli Institute for Particle Astrophysics and Cosmology, Stanford University

ORCID: 0000-0002-5153-0920

Observed ORCID: 0000-0002-5153-0920

OpenAlex ID: A5062812480

Detection of Lensing Substructure Using Alma Observations of the Dusty Galaxy Sdp.81

2016 · Yashar D. Hezaveh, Neal Dalal, et al. · The Astrophysical Journal · 369

Galaxy growth in a massive halo in the first billion years of cosmic history

2017 · D. P. Marrone, J. S. Spilker, et al. · Nature · 247

A massive core for a cluster of galaxies at a redshift of 4.3

2018 · T. B. Miller, S. C. Chapman, et al. · Nature · 236

Globular Cluster Systems in Brightest Cluster Galaxies: a Near-universal Luminosity Function?

2014 · William E. Harris, Warren Morningstar, et al. · The Astrophysical Journal · 100

High-resolution Chandra Hetg Spectroscopy of V404 Cygni in Outburst

2015 · Ashley L. King, Jon M. Miller, et al. · The Astrophysical Journal Letters · 91

Data-driven Reconstruction of Gravitationally Lensed Galaxies Using Recurrent Inference Machines

2019 · Warren R. Morningstar, Laurence Perreault Levasseur, et al. · The Astrophysical Journal · 78

Fast molecular outflow from a dusty star-forming galaxy in the early Universe

2018 · J. S. Spilker, M. Aravena, et al. · Science · 76

Spatially Resolved [C ii] Emission in SPT0346-52: A Hyper-starburst Galaxy Merger at z ∼ 5.7

2019 · Katrina C. Litke, Daniel P. Marrone, et al. · The Astrophysical Journal · 56

Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks

2018 · Morningstar, Warren R., Hezaveh, Yashar D., et al. · arXiv (Cornell University) · 51

What Do We Mean by Generalization in Federated Learning?

2021 · Yuan, Honglin, Morningstar, Warren, et al. · arXiv (Cornell University) · 47

The Spin of the Black Hole 4u 1543-47

2014 · Warren R. Morningstar, Jon M. Miller · The Astrophysical Journal Letters · 32

The Spin of the Black Hole Gs 1124–683: Observation of a Retrograde Accretion Disk?

2014 · Warren R. Morningstar, Jon M. Miller, et al. · The Astrophysical Journal Letters · 32

Density of States Estimation for Out-of-Distribution Detection

2020 · Morningstar, Warren R., Ham, Cusuh, et al. · arXiv (Cornell University) · 31

Augmentations vs Algorithms: What Works in Self-Supervised Learning

2024 · Morningstar, Warren, Bijamov, Alex, et al. · arXiv (Cornell University) · 20

A Seyfert-2-like Spectrum in the High-mass X-ray Binary Microquasar V4641 Sgr

2014 · Warren R. Morningstar, Jon M. Miller, et al. · The Astrophysical Journal Letters · 16

Weighted Ensemble Self-Supervised Learning

2022 · Ruan, Yangjun, Singh, Saurabh, et al. · arXiv (Cornell University) · 13

Source Structure and Molecular Gas Properties from High-resolution CO Imaging of SPT-selected Dusty Star-forming Galaxies

2019 · Chenxing 辰兴 Dong 董, Justin S. Spilker, et al. · The Astrophysical Journal · 13

PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime

2020 · Morningstar, Warren R., Alemi, Alexander A., et al. · arXiv (Cornell University) · 11

Hunting for Dark Matter Subhalos in Strong Gravitational Lensing with Neural Networks

2020 · Lin, Joshua Yao-Yu, Yu, Hang, et al. · arXiv (Cornell University) · 9

Trust The Typical

2026 · Ganguly, Debargha, Sankar, Sreehari, et al. · arXiv (Cornell University) · 6

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer

2023 · Rojas-Gomez, Renan A., Singhal, Karan, et al. · arXiv (Cornell University) · 5

Automatic Differentiation Variational Inference with Mixtures

2020 · Morningstar, Warren R., Vikram, Sharad M., et al. · arXiv (Cornell University) · 5

Federated Variational Inference: Towards Improved Personalization and Generalization

2024 · Elahe Vedadi, Joshua V. Dillon, et al. · Proceedings of the AAAI Symposium Series · 4

Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations

2023 · Kalibhat, Neha, Morningstar, Warren, et al. · arXiv (Cornell University) · 4

Random Field Augmentations for Self-Supervised Representation Learning

2023 · Mansfield, Philip Andrew, Afkanpour, Arash, et al. · arXiv (Cornell University) · 3

Works count: 34

Citation count: 1,558

H-index: 15

I10-index: 18