Array programming with NumPy
Array programming provides a powerful, compact and expressive syntax for accessing,
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …
[HTML][HTML] SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language.
Since its initial release in 2001, SciPy has become a de facto standard for leveraging …
Since its initial release in 2001, SciPy has become a de facto standard for leveraging …
Flow matching for generative modeling
We introduce a new paradigm for generative modeling built on Continuous Normalizing
Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present …
Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present …
First Sagittarius A* event horizon telescope results. V. Testing astrophysical models of the galactic center black hole
In this paper we provide a first physical interpretation for the Event Horizon Telescopeʼs
(EHT) 2017 observations of Sgr A*. Our main approach is to compare resolved EHT data at …
(EHT) 2017 observations of Sgr A*. Our main approach is to compare resolved EHT data at …
The radius of PSR J0740+ 6620 from NICER and XMM-Newton data
MC Miller, FK Lamb, AJ Dittmann… - The Astrophysical …, 2021 - iopscience.iop.org
PSR J0740+ 6620 has a gravitational mass of 2.08±0.07 M⊙, which is the highest reliably
determined mass of any neutron star. As a result, a measurement of its radius will provide …
determined mass of any neutron star. As a result, a measurement of its radius will provide …
A NICER view of the massive pulsar PSR J0740+ 6620 informed by radio timing and XMM-Newton spectroscopy
We report on Bayesian estimation of the radius, mass, and hot surface regions of the
massive millisecond pulsar PSR J0740+ 6620, conditional on pulse-profile modeling of …
massive millisecond pulsar PSR J0740+ 6620, conditional on pulse-profile modeling of …
The primacy bias in deep reinforcement learning
This work identifies a common flaw of deep reinforcement learning (RL) algorithms: a
tendency to rely on early interactions and ignore useful evidence encountered later …
tendency to rely on early interactions and ignore useful evidence encountered later …
Att3d: Amortized text-to-3d object synthesis
Text-to-3D modelling has seen exciting progress by combining generative text-to-image
models with image-to-3D methods like Neural Radiance Fields. DreamFusion recently …
models with image-to-3D methods like Neural Radiance Fields. DreamFusion recently …
Bigger, better, faster: Human-level atari with human-level efficiency
We introduce a value-based RL agent, which we call BBF, that achieves super-human
performance in the Atari 100K benchmark. BBF relies on scaling the neural networks used …
performance in the Atari 100K benchmark. BBF relies on scaling the neural networks used …
Constraints on the dense matter equation of state and neutron star properties from NICER's mass–radius estimate of PSR J0740+ 6620 and multimessenger …
G Raaijmakers, SK Greif, K Hebeler… - The Astrophysical …, 2021 - iopscience.iop.org
In recent years our understanding of the dense matter equation of state (EOS) of neutron
stars has significantly improved by analyzing multimessenger data from radio/X-ray pulsars …
stars has significantly improved by analyzing multimessenger data from radio/X-ray pulsars …