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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 / 1,341 papers shown
Title
Darts: User-Friendly Modern Machine Learning for Time Series
Darts: User-Friendly Modern Machine Learning for Time Series
J. Herzen
Francesco Lässig
Samuele Giuliano Piazzetta
T. Neuer
Léo Tafti
...
Mounir Benheddi
Camila Williamson
Michal Kosinskihttps://www.semanticscholar.org/me/account
M. Petrik
Gaël Grosch
AI4TS
205
223
0
07 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies
Continuous-Time Fitted Value Iteration for Robust Policies
M. Lutter
Boris Belousov
Shie Mannor
Dieter Fox
Animesh Garg
Jan Peters
65
9
0
05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINNAI4CE
104
42
0
05 Oct 2021
Convex-Concave Min-Max Stackelberg Games
Convex-Concave Min-Max Stackelberg Games
Denizalp Goktas
Amy Greenwald
101
30
0
05 Oct 2021
Improved architectures and training algorithms for deep operator
  networks
Improved architectures and training algorithms for deep operator networks
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
112
107
0
04 Oct 2021
Inferring dark matter substructure with astrometric lensing beyond the
  power spectrum
Inferring dark matter substructure with astrometric lensing beyond the power spectrum
S. Mishra-Sharma
101
12
0
04 Oct 2021
Row-clustering of a Point Process-valued Matrix
Row-clustering of a Point Process-valued Matrix
Lihao Yin
Ganggang Xu
H. Sang
Yongtao Guan
39
4
0
04 Oct 2021
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
W. Dong
Yixing Lao
Michael Kaess
V. Koltun
75
17
0
01 Oct 2021
Smooth Normalizing Flows
Smooth Normalizing Flows
Jonas Köhler
Andreas Krämer
Frank Noé
105
55
0
01 Oct 2021
Combining Human Predictions with Model Probabilities via Confusion
  Matrices and Calibration
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan
Padhraic Smyth
M. Steyvers
63
49
0
29 Sep 2021
REFLACX, a dataset of reports and eye-tracking data for localization of
  abnormalities in chest x-rays
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
Ricardo Bigolin Lanfredi
Mingyuan Zhang
W. Auffermann
Jessica Chan
Phuong-Anh T. Duong
Vivek Srikumar
Trafton Drew
Joyce D. Schroeder
Tolga Tasdizen
53
40
0
29 Sep 2021
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF
  Mass Spectrometry
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry
V. Seethi
Z. LaCasse
P. Chivte
Joshua Bland
Shrihari S. Kadkol
E. Gaillard
Pratool Bharti
Hamed Alhoori
31
10
0
28 Sep 2021
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural
  networks for robot perception
fff-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Dhaivat Bhatt
Kaustubh Mani
Dishank Bansal
Krishna Murthy Jatavallabhula
Hanju Lee
Liam Paull
UQCV
93
5
0
28 Sep 2021
Using neural networks to solve the 2D Poisson equation for electric
  field computation in plasma fluid simulations
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
Li Cheng
Ekhi Ajuria Illarramendi
Guillaume Bogopolsky
M. Bauerheim
B. Cuenot
80
19
0
27 Sep 2021
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Sheng Dai
Yunzhe Fang
Chia-Yen Lee
Timo Kuosmanen
20
14
0
27 Sep 2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track
  Reconstruction
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Cenk Tüysüz
C. Rieger
Kristiane Novotny
B. Demirköz
D. Dobos
K. Potamianos
S. Vallecorsa
J. Vlimant
Richard Forster
144
55
0
26 Sep 2021
An Exploration of Learnt Representations of W Jets
An Exploration of Learnt Representations of W Jets
J. Collins
DRL
83
13
0
22 Sep 2021
ENERO: Efficient Real-Time WAN Routing Optimization with Deep
  Reinforcement Learning
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
94
20
0
22 Sep 2021
Identifying Potential Exomoon Signals with Convolutional Neural Networks
Identifying Potential Exomoon Signals with Convolutional Neural Networks
A. Teachey
D. Kipping
22
5
0
22 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural
  Networks
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
G. Bingham
Risto Miikkulainen
ODL
67
4
0
18 Sep 2021
Balancing detectability and performance of attacks on the control
  channel of Markov Decision Processes
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes
Alessio Russo
Alexandre Proutiere
AAML
60
6
0
15 Sep 2021
Testing Self-Organized Criticality Across the Main Sequence using
  Stellar Flares from TESS
Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS
A. D. Feinstein
D. Seligman
M. Günther
F. Adams
55
14
0
14 Sep 2021
Scaling and Acceleration of Three-dimensional Structure Determination
  for Single-Particle Imaging Experiments with SpiniFEL
Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL
Hsing-Yin Chang
Elliott Slaughter
S. Mirchandaney
J. Donatelli
C. Yoon
46
6
0
11 Sep 2021
Scikit-dimension: a Python package for intrinsic dimension estimation
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac
Evgeny M. Mirkes
Alexander N. Gorban
I. Tyukin
A. Zinovyev
98
84
0
06 Sep 2021
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker
  based on Residual Convolutional Neural Networks
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
T. Lai
Heng Ji
ChengXiang Zhai
66
31
0
06 Sep 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class
  Setting: Phenotype Annotation Use Case
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Jingqing Zhang
Luis Bolaños
T. Li
Ashwani Tanwar
Guilherme Freire
Xian Yang
Julia Ive
Vibhor Gupta
Yike Guo
31
14
0
04 Sep 2021
A Guide to Computational Reproducibility in Signal Processing and
  Machine Learning
A Guide to Computational Reproducibility in Signal Processing and Machine Learning
Joseph Shenouda
W. Bajwa
99
3
0
27 Aug 2021
PTRAIL -- A python package for parallel trajectory data preprocessing
PTRAIL -- A python package for parallel trajectory data preprocessing
Salman Haidri
Yaksh J. Haranwala
V. Bogorny
C. Renso
Vinicius Prado da Fonseca
Amilcar Soares
28
21
0
26 Aug 2021
Physics-Informed Deep Learning: A Promising Technique for System
  Reliability Assessment
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou
E. Droguett
A. Mosleh
AI4CE
24
26
0
24 Aug 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot
  Learning
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk
Lukasz Wawrzyniak
Yunrong Guo
Michelle Lu
Kier Storey
...
David Hoeller
Nikita Rudin
Arthur Allshire
Ankur Handa
Gavriel State
188
1,093
0
24 Aug 2021
Convergence bounds for nonlinear least squares and applications to
  tensor recovery
Convergence bounds for nonlinear least squares and applications to tensor recovery
Philipp Trunschke
33
7
0
11 Aug 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Karl Otness
Arvi Gjoka
Joan Bruna
Daniele Panozzo
Benjamin Peherstorfer
T. Schneider
Denis Zorin
98
23
0
09 Aug 2021
Deep multi-task mining Calabi-Yau four-folds
Deep multi-task mining Calabi-Yau four-folds
Harold Erbin
Riccardo Finotello
Robin Schneider
M. Tamaazousti
104
17
0
04 Aug 2021
Piecewise Linear Units Improve Deep Neural Networks
Piecewise Linear Units Improve Deep Neural Networks
Jordan Inturrisi
Suiyang Khoo
Abbas Kouzani
Riccardo M. Pagliarella
23
4
0
02 Aug 2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome
  Prediction
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
Matthias Keicher
Hendrik Burwinkel
David Bani-Harouni
Magdalini Paschali
Tobias Czempiel
E. Burian
Marcus R. Makowski
R. Braren
Nassir Navab
T. Wendler
86
7
0
29 Jul 2021
A Machine-Learning-Based Direction-of-Origin Filter for the
  Identification of Radio Frequency Interference in the Search for
  Technosignatures
A Machine-Learning-Based Direction-of-Origin Filter for the Identification of Radio Frequency Interference in the Search for Technosignatures
P. Pinchuk
J. Margot
36
16
0
28 Jul 2021
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume
Pushpak Pati
Valentin Anklin
A. Foncubierta
M. Gabrani
95
46
0
21 Jul 2021
Architecture-Specific Performance Optimization of Compute-Intensive FaaS
  Functions
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions
Mohak Chadha
Anshul Jindal
Michael Gerndt
66
22
0
21 Jul 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge
  regression
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
William T. Stephenson
Zachary Frangella
Madeleine Udell
Tamara Broderick
91
12
0
19 Jul 2021
Directly Training Joint Energy-Based Models for Conditional Synthesis
  and Calibrated Prediction of Multi-Attribute Data
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data
Jacob Kelly
R. Zemel
Will Grathwohl
76
2
0
19 Jul 2021
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender
  Systems
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
Eli Lucherini
Matthew Sun
Amy A. Winecoff
Arvind Narayanan
80
23
0
19 Jul 2021
Neural Contextual Anomaly Detection for Time Series
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona
Franccois-Xavier Aubet
Valentin Flunkert
Jan Gasthaus
BDLAI4TS
103
66
0
16 Jul 2021
Probabilistic Time Series Forecasting with Implicit Quantile Networks
Probabilistic Time Series Forecasting with Implicit Quantile Networks
Adele Gouttes
Kashif Rasul
Mateusz Koren
Johannes Stephan
T. Naghibi
BDLAI4TS
49
24
0
08 Jul 2021
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and
  Quantitative Precipitation Estimation
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
M. Sit
B. Seo
Ibrahim Demir
56
28
0
07 Jul 2021
Universal approximation and model compression for radial neural networks
Universal approximation and model compression for radial neural networks
I. Ganev
Twan van Laarhoven
Robin Walters
75
10
0
06 Jul 2021
Morphological Classification of Galaxies in S-PLUS using an Ensemble of
  Convolutional Networks
Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
N. M. Cardoso
G. B. O. Schwarz
L. O. Dias
C. R. Bom
L. Sodré
C. Mendes de Oliveira
49
0
0
05 Jul 2021
Accessible Color Sequences for Data Visualization
Accessible Color Sequences for Data Visualization
M. Petroff
54
14
0
05 Jul 2021
Truncated Marginal Neural Ratio Estimation
Truncated Marginal Neural Ratio Estimation
Benjamin Kurt Miller
A. Cole
Patrick Forré
Gilles Louppe
Christoph Weniger
135
38
0
02 Jul 2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Shared Data and Algorithms for Deep Learning in Fundamental Physics
L. Benato
E. Buhmann
M. Erdmann
P. Fackeldey
J. Glombitza
...
T. Kuhr
J. Steinheimer
H. Stocker
Tilman Plehn
K. Zhou
PINNOOD
85
15
0
01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
161
101
0
01 Jul 2021
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