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Array Programming with NumPy

Array Programming with NumPy

18 June 2020
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
D. Cournapeau
Eric Wieser
Julian Taylor
Sebastian Berg
Nathaniel J. Smith
Robert Kern
Matti Picus
Stephan Hoyer
M. Kerkwijk
M. Brett
A. Haldane
Jaime Fernández del Río
Marcy Wiebe
Pearu Peterson
Pierre Gérard-Marchant
Kevin Sheppard
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
ArXiv (abs)PDFHTML

Papers citing "Array Programming with NumPy"

50 / 1,342 papers shown
Title
SCOPE: Safe Exploration for Dynamic Computer Systems Optimization
SCOPE: Safe Exploration for Dynamic Computer Systems Optimization
Hyunji Kim
Ahsan Pervaiz
Henry Hoffmann
Michael Carbin
Yiqiang Ding
36
1
0
22 Apr 2022
Interactive Segmentation and Visualization for Tiny Objects in
  Multi-megapixel Images
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
Chengyuan Xu
B. Dong
Noah Stier
C. McCully
D. Howell
P. Sen
Tobias Höllerer
24
2
0
21 Apr 2022
Dynamic Network Adaptation at Inference
Dynamic Network Adaptation at Inference
Daniel Mendoza
Caroline Trippel
57
0
0
18 Apr 2022
A Machine Learning Tutorial for Operational Meteorology, Part I:
  Traditional Machine Learning
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning
Randy J. Chase
David R. Harrison
Amanda L. Burke
G. Lackmann
A. McGovern
AI4CE
33
42
0
15 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Gabriel Loaiza-Ganem
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
GANDRL
104
31
0
14 Apr 2022
GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant
  Robotic Gripper
GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant Robotic Gripper
Sandra Q. Liu
Edward H. Adelson
61
48
0
14 Apr 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language
  Explanations
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon
Sayan Ghosh
Shashank Srivastava
LRMELM
103
11
0
14 Apr 2022
Composite Code Sparse Autoencoders for first stage retrieval
Composite Code Sparse Autoencoders for first stage retrieval
Carlos Lassance
Thibault Formal
Stéphane Clinchant
65
4
0
14 Apr 2022
deep-significance - Easy and Meaningful Statistical Significance Testing
  in the Age of Neural Networks
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks
Dennis Ulmer
Christian Hardmeier
J. Frellsen
139
42
0
14 Apr 2022
Control-oriented meta-learning
Control-oriented meta-learning
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
77
26
0
14 Apr 2022
A Siren Song of Open Source Reproducibility
A Siren Song of Open Source Reproducibility
Edward Raff
Andrew L. Farris
90
9
0
09 Apr 2022
Categorical Distributions of Maximum Entropy under Marginal Constraints
Categorical Distributions of Maximum Entropy under Marginal Constraints
Orestis Loukas
Holly Chung
33
5
0
07 Apr 2022
AutoCOR: Autonomous Condylar Offset Ratio Calculator on
  TKA-Postoperative Lateral Knee X-ray
AutoCOR: Autonomous Condylar Offset Ratio Calculator on TKA-Postoperative Lateral Knee X-ray
Gulsade Rabia Cakmak
Ibrahim Ethem Hamamci
M. Yilmaz
R. Alhajj
I. Azboy
M. K. Özdemir
16
0
0
06 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders
Statistical Model Criticism of Variational Auto-Encoders
Claartje Barkhof
Wilker Aziz
DRL
82
3
0
06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
100
339
0
06 Apr 2022
Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$
Scaling Up Models and Data with t5x\texttt{t5x}t5x and seqio\texttt{seqio}seqio
Adam Roberts
Hyung Won Chung
Anselm Levskaya
Gaurav Mishra
James Bradbury
...
Brennan Saeta
Ryan Sepassi
A. Spiridonov
Joshua Newlan
Andrea Gesmundo
ALM
132
199
0
31 Mar 2022
A Python Package for Sampling from Copulae: clayton
A Python Package for Sampling from Copulae: clayton
Alexis Boulin
36
0
0
31 Mar 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum
  Circuits
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Jiahao Yao
Haoya Li
Marin Bukov
Lin Lin
Lexing Ying
42
16
0
30 Mar 2022
JAX-FLUIDS: A fully-differentiable high-order computational fluid
  dynamics solver for compressible two-phase flows
JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows
Deniz A. Bezgin
Aaron B. Buhendwa
Nikolaus A. Adams
AI4CE
74
71
0
25 Mar 2022
Probing for Labeled Dependency Trees
Probing for Labeled Dependency Trees
Max Müller-Eberstein
Rob van der Goot
Barbara Plank
49
8
0
24 Mar 2022
Delicatessen: M-Estimation in Python
Delicatessen: M-Estimation in Python
P. Zivich
Mark Klose
Stephen R. Cole
Jessie K. Edwards
B. Shook‐Sa
18
9
0
21 Mar 2022
Learning Compressed Embeddings for On-Device Inference
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare
J. Katukuri
Aditya Arora
F. Cipollone
R. Shaik
Noyan Tokgozoglu
Chandru Venkataraman
97
15
0
18 Mar 2022
Identifying Transients in the Dark Energy Survey using Convolutional
  Neural Networks
Identifying Transients in the Dark Energy Survey using Convolutional Neural Networks
V. Ayyar
R. Knop
Autumn Awbrey
A. Andersen
P. Nugent
18
3
0
18 Mar 2022
Learning the Dynamics of Physical Systems from Sparse Observations with
  Finite Element Networks
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen
Stephan Günnemann
AI4TS
58
38
0
16 Mar 2022
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks
  with Transient Data
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data
Hongda Wu
Ali Nasehzadeh
Ping Wang
18
13
0
16 Mar 2022
Respecting causality is all you need for training physics-informed
  neural networks
Respecting causality is all you need for training physics-informed neural networks
Sizhuang He
Shyam Sankaran
P. Perdikaris
PINNCMLAI4CE
154
203
0
14 Mar 2022
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications
P. Srinath
J. Hoydis
42
2
0
11 Mar 2022
Balancing Consumer and Business Value of Recommender Systems: A
  Simulation-based Analysis
Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis
Nada Ghanem
Stephan Leitner
Dietmar Jannach
53
31
0
10 Mar 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
55
10
0
08 Mar 2022
Regularising for invariance to data augmentation improves supervised
  learning
Regularising for invariance to data augmentation improves supervised learning
Aleksander Botev
Matthias Bauer
Soham De
84
14
0
07 Mar 2022
Scalable Uncertainty Quantification for Deep Operator Networks using
  Randomized Priors
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors
Yibo Yang
Georgios Kissas
P. Perdikaris
BDLUQCV
88
42
0
06 Mar 2022
Interactive Visualization of Protein RINs using NetworKit in the Cloud
Interactive Visualization of Protein RINs using NetworKit in the Cloud
Eugenio Angriman
Fabian Brandt-Tumescheit
Leon Franke
Alexander van der Grinten
Henning Meyerhenke
MLAU
25
1
0
02 Mar 2022
Engineering the Neural Automatic Passenger Counter
Engineering the Neural Automatic Passenger Counter
Nico Jahn
Michael Siebert
59
2
0
02 Mar 2022
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think
O. Chehab
Alexandre Gramfort
Aapo Hyvarinen
OOD
93
10
0
02 Mar 2022
Contrasting random and learned features in deep Bayesian linear
  regression
Contrasting random and learned features in deep Bayesian linear regression
Jacob A. Zavatone-Veth
William L. Tong
Cengiz Pehlevan
BDLMLT
133
28
0
01 Mar 2022
Improving Candidate Retrieval with Entity Profile Generation for
  Wikidata Entity Linking
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
T. Lai
Heng Ji
ChengXiang Zhai
RALM
83
12
0
27 Feb 2022
Flow-based sampling in the lattice Schwinger model at criticality
Flow-based sampling in the lattice Schwinger model at criticality
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
Julian M. Urban
48
35
0
23 Feb 2022
Neural Network based Successor Representations of Space and Language
Neural Network based Successor Representations of Space and Language
Paul Stoewer
Christian Schlieker
A. Schilling
C. Metzner
Andreas K. Maier
P. Krauss
71
20
0
22 Feb 2022
HiP: Hierarchical Perceiver
HiP: Hierarchical Perceiver
João Carreira
Skanda Koppula
Daniel Zoran
Adrià Recasens
Catalin Ionescu
...
M. Botvinick
Oriol Vinyals
Karen Simonyan
Andrew Zisserman
Andrew Jaegle
VLM
116
14
0
22 Feb 2022
Non-Volatile Memory Accelerated Posterior Estimation
Non-Volatile Memory Accelerated Posterior Estimation
A. Wood
Moshik Hershcovitch
Daniel Waddington
Sarel Cohen
Peter Chin
22
1
0
21 Feb 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained
  Optimization with Applications to Reinforcement Learning
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Youssef Diouane
Aurelien Lucchi
Vihang Patil
84
3
0
21 Feb 2022
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Ismael Boureima
Manish Bhattarai
M. Eren
E. Skau
Philip Romero
S. Eidenbenz
Boian Alexandrov
78
6
0
19 Feb 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne
Andrew Jaegle
Cătălina Cangea
Sebastian Borgeaud
C. Nash
...
Hannah R. Sheahan
Neil Zeghidour
Jean-Baptiste Alayrac
João Carreira
Jesse Engel
107
66
0
15 Feb 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
Maor Ivgi
Y. Carmon
Jonathan Berant
80
17
0
13 Feb 2022
Identification of Flux Rope Orientation via Neural Networks
Identification of Flux Rope Orientation via Neural Networks
T. Narock
A. Narock
L. F. G. dos Santos
T. Nieves-chinchilla
25
5
0
11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
95
26
0
10 Feb 2022
Simplified Graph Convolution with Heterophily
Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya
Cameron Musco
74
24
0
08 Feb 2022
Versatile Offline Imitation from Observations and Examples via
  Regularized State-Occupancy Matching
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
82
36
0
04 Feb 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network
  Optimization with Evolutionary Strategies
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies
Carlos Güemes-Palau
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
56
9
0
01 Feb 2022
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
C. Albrecht
F. Marianno
L. Klein
VLM
48
12
0
31 Jan 2022
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