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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 / 1,343 papers shown
Title
Constrained Differential Dynamic Programming: A primal-dual augmented
  Lagrangian approach
Constrained Differential Dynamic Programming: A primal-dual augmented Lagrangian approach
Wilson Jallet
Antoine Bambade
Nicolas Mansard
Justin Carpentier
122
49
0
27 Oct 2022
Coordinate Descent for SLOPE
Coordinate Descent for SLOPE
Johan Larsson
Quentin Klopfenstein
Mathurin Massias
J. Wallin
62
6
0
26 Oct 2022
CaloFlow for CaloChallenge Dataset 1
CaloFlow for CaloChallenge Dataset 1
Claudius Krause
Ian Pang
David Shih
AI4CE
94
22
0
25 Oct 2022
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to
  Reality
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
Ankur Handa
Arthur Allshire
Viktor Makoviychuk
Aleksei Petrenko
Ritvik Singh
...
Balakumar Sundaralingam
Yashraj S. Narang
Jean-Francois Lafleche
Dieter Fox
Gavriel State
133
157
0
25 Oct 2022
$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees
Mangrove\texttt{Mangrove}Mangrove: Learning Galaxy Properties from Merger Trees
C. K. Jespersen
M. Cranmer
Peter Melchior
S. Ho
R. Somerville
Austen Gabrielpillai
59
17
0
24 Oct 2022
Bayesian Optimization with Conformal Prediction Sets
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton
Wesley J. Maddox
A. Wilson
147
26
0
22 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations
Hindering Adversarial Attacks with Implicit Neural Representations
Andrei A. Rusu
D. A. Calian
Sven Gowal
R. Hadsell
AAML
171
4
0
22 Oct 2022
OpenAUC: Towards AUC-Oriented Open-Set Recognition
OpenAUC: Towards AUC-Oriented Open-Set Recognition
Zitai Wang
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
MQ
102
28
0
22 Oct 2022
Spectral Probing
Spectral Probing
Max Müller-Eberstein
Rob van der Goot
Barbara Plank
50
2
0
21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar
P. Banerjee
Guido Montúfar
98
67
0
21 Oct 2022
Machine-Learning Compression for Particle Physics Discoveries
Machine-Learning Compression for Particle Physics Discoveries
J. Collins
Yifeng Huang
S. Knapen
Benjamin Nachman
D. Whiteson
73
4
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
120
129
0
20 Oct 2022
Unsupervised visualization of image datasets using contrastive learning
Unsupervised visualization of image datasets using contrastive learning
Jan Boehm
Philipp Berens
D. Kobak
SSL
124
17
0
18 Oct 2022
Reconstruction Attack on Differential Private Trajectory Protection
  Mechanisms
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Erik Buchholz
A. Abuadbba
Shuo Wang
Surya Nepal
S. Kanhere
59
14
0
17 Oct 2022
HUDD: A tool to debug DNNs for safety analysis
HUDD: A tool to debug DNNs for safety analysis
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
62
7
0
15 Oct 2022
A Primal-Dual Algorithm for Hybrid Federated Learning
A Primal-Dual Algorithm for Hybrid Federated Learning
Tom Overman
Garrett Blum
Diego Klabjan
FedML
69
7
0
14 Oct 2022
Generalised Mutual Information for Discriminative Clustering
Generalised Mutual Information for Discriminative Clustering
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
Warith Harchaoui
Mickael Leclercq
Arnaud Droit
F. Precioso
45
6
0
12 Oct 2022
Oflib: Facilitating Operations with and on Optical Flow Fields in Python
Oflib: Facilitating Operations with and on Optical Flow Fields in Python
Claudio S. Ravasio
L. Cruz
Christos Bergeles
21
0
0
11 Oct 2022
Contrastive Neural Ratio Estimation for Simulation-based Inference
Contrastive Neural Ratio Estimation for Simulation-based Inference
Benjamin Kurt Miller
Christoph Weniger
Patrick Forré
76
13
0
11 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang
Linqing Liu
Akshat Pandey
Zhiying Jiang
Gefei Yang
K. Kumar
Pontus Stenetorp
Jimmy J. Lin
Ferhan Ture
175
176
0
10 Oct 2022
Rieoptax: Riemannian Optimization in JAX
Rieoptax: Riemannian Optimization in JAX
Saiteja Utpala
Andi Han
Pratik Jawanpuria
Bamdev Mishra
96
3
0
10 Oct 2022
KALM: Knowledge-Aware Integration of Local, Document, and Global
  Contexts for Long Document Understanding
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
Shangbin Feng
Zhaoxuan Tan
Wenqian Zhang
Zhenyu Lei
Yulia Tsvetkov
KELMVLM
106
10
0
08 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
90
2
0
08 Oct 2022
Fostering better coding practices for data scientists
Fostering better coding practices for data scientists
R. Pruim
Maria-Cristiana Gîrjău
N. Horton
TTAAI4CE
12
5
0
08 Oct 2022
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via
  Simulation-based Synthetic Data Augmentation and Multitask Learning
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning
Riccardo Finotello
D. L’hermite
Celine Quéré
Benjamin Rouge
M. Tamaazousti
J. Sirven
57
1
0
07 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta
I. Char
J. Abbate
R. Conlin
M. Boyer
Stefano Ermon
J. Schneider
Willie Neiswanger
OffRL
79
6
0
06 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
93
39
0
06 Oct 2022
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
Thanh Tung Khuat
Bogdan Gabrys
24
0
0
06 Oct 2022
Data-driven Approaches to Surrogate Machine Learning Model Development
Data-driven Approaches to Surrogate Machine Learning Model Development
H. R. Jones
Tingting Mu
Andrei Popescu
Yusuf Sulehman
AI4CE
22
0
0
06 Oct 2022
Why Random Pruning Is All We Need to Start Sparse
Why Random Pruning Is All We Need to Start Sparse
Advait Gadhikar
Sohom Mukherjee
R. Burkholz
96
21
0
05 Oct 2022
Conformalized Fairness via Quantile Regression
Conformalized Fairness via Quantile Regression
Meichen Liu
Lei Ding
Dengdeng Yu
Wulong Liu
Linglong Kong
Bei Jiang
213
10
0
05 Oct 2022
Random Weight Factorization Improves the Training of Continuous Neural
  Representations
Random Weight Factorization Improves the Training of Continuous Neural Representations
Sizhuang He
Hanwen Wang
Jacob H. Seidman
P. Perdikaris
103
10
0
03 Oct 2022
Probing of Quantitative Values in Abstractive Summarization Models
Probing of Quantitative Values in Abstractive Summarization Models
Nathan M. White
71
0
0
03 Oct 2022
Protein structure generation via folding diffusion
Protein structure generation via folding diffusion
Kevin E. Wu
Kevin Kaichuang Yang
Rianne van den Berg
James Zou
Alex X. Lu
Ava P. Amini
DiffM
123
206
0
30 Sep 2022
Convergence of weak-SINDy Surrogate Models
Convergence of weak-SINDy Surrogate Models
Benjamin P. Russo
M. P. Laiu
41
8
0
30 Sep 2022
Zero-shot visual reasoning through probabilistic analogical mapping
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor Webb
Shuhao Fu
Trevor Bihl
K. Holyoak
Hongjing Lu
LRM
95
13
0
29 Sep 2022
Joint Embedding Self-Supervised Learning in the Kernel Regime
Joint Embedding Self-Supervised Learning in the Kernel Regime
B. Kiani
Randall Balestriero
Yubei Chen
S. Lloyd
Yann LeCun
SSL
115
14
0
29 Sep 2022
Accurate Long-term Air Temperature Prediction with a Fusion of
  Artificial Intelligence and Data Reduction Techniques
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques
D. Fister
Jorge Pérez-Aracil
César Peláez-Rodríguez
Javier Del Ser
S. Salcedo-Sanz
43
1
0
29 Sep 2022
Biological connectomes as a representation for the architecture of
  artificial neural networks
Biological connectomes as a representation for the architecture of artificial neural networks
Samuel Schmidgall
Catherine D. Schuman
Maryam Parsa
73
2
0
28 Sep 2022
Clinical Language Understanding Evaluation (CLUE)
Clinical Language Understanding Evaluation (CLUE)
Travis R. Goodwin
Dina Demner-Fushman
ELMLM&MA
23
1
0
28 Sep 2022
Combining Reinforcement Learning and Tensor Networks, with an
  Application to Dynamical Large Deviations
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
E. Gillman
Dominic C. Rose
J. P. Garrahan
AI4CE
59
4
0
28 Sep 2022
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation
  in Autonomous Driving Scene
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene
Xianfeng Han
Hui Cheng
Hang Jiang
Dehong He
Guoqiang Xiao
3DPC
71
3
0
28 Sep 2022
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data
  via Dynamic Graph Structure Learning
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell
A. Zippo
L. Passamonti
N. Toschi
Pietro Lio
65
4
0
27 Sep 2022
Feature Encodings for Gradient Boosting with Automunge
Feature Encodings for Gradient Boosting with Automunge
Nicholas J. Teague
73
0
0
25 Sep 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models
  under Realistic Distribution Shifts
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
Neeraj Wagh
Jionghao Wei
Samarth Rawal
Brent M. Berry
Y. Varatharajah
OOD
93
11
0
22 Sep 2022
Liesel: A Probabilistic Programming Framework for Developing
  Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms
Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms
Hannes Riebl
P. Wiemann
Thomas Kneib
52
2
0
22 Sep 2022
Probabilistic Dalek -- Emulator framework with probabilistic prediction
  for supernova tomography
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography
W. E. Kerzendorf
Nutan Chen
Jack O'Brien
J. Buchner
Patrick van der Smagt
MedIm
29
0
0
20 Sep 2022
Machine Learning based Extraction of Boundary Conditions from Doppler
  Echo Images for Patient Specific Coarctation of the Aorta: Computational
  Fluid Dynamics Study
Machine Learning based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study
Vincent Milimo Masilokwa Punabantu
M. Ngoepe
A. Mishra
T. Aldersley
J. Lawrenson
L. Zuhlke
AI4CE
17
0
0
19 Sep 2022
On the benefits of self-taught learning for brain decoding
On the benefits of self-taught learning for brain decoding
Elodie Germani
Elisa Fromont
Camille Maumet
FedMLSSL
43
0
0
19 Sep 2022
Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable
  regression
Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression
Austin R. Brown
45
0
0
17 Sep 2022
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