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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
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Strong Lensing Source Reconstruction Using Continuous Neural Fields
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Benchopt: Reproducible, efficient and collaborative optimization
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Benchopt: Reproducible, efficient and collaborative optimization benchmarks
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Mathurin Massias
Alexandre Gramfort
Pierre Ablin
Pierre-Antoine Bannier Benjamin Charlier
...
Binh Duc Nguyen
A. Rakotomamonjy
Zaccharie Ramzi
Joseph Salmon
Samuel Vaiter
124
36
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27 Jun 2022
Deinsum: Practically I/O Optimal Multilinear Algebra
Deinsum: Practically I/O Optimal Multilinear Algebra
A. Ziogas
Grzegorz Kwa'sniewski
Tal Ben-Nun
Timo Schneider
Torsten Hoefler
96
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16 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
113
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0
16 Jun 2022
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke
Eli VanderBilt
Alvaro Herrasti
Luca Weihs
Jordi Salvador
...
Winson Han
Eric Kolve
Ali Farhadi
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
124
265
0
14 Jun 2022
Architectural patterns for handling runtime uncertainty of data-driven
  models in safety-critical perception
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception
Janek Groß
R. Adler
Michael Kläs
Jan Reich
Lisa Jöckel
Roman Gansch
AI4CE
29
5
0
14 Jun 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical
  causal models
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
Patrick Blobaum
P. Götz
Kailash Budhathoki
Atalanti A. Mastakouri
Dominik Janzing
64
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0
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Spiking Neural Networks for Frame-based and Event-based Single Object
  Localization
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Sami Barchid
José Mennesson
J. Eshraghian
Chaabane Djéraba
Bennamoun
63
32
0
13 Jun 2022
Stochastic Zeroth order Descent with Structured Directions
Stochastic Zeroth order Descent with Structured Directions
Marco Rando
C. Molinari
S. Villa
Lorenzo Rosasco
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10 Jun 2022
Sentiment analysis on electricity twitter posts
Sentiment analysis on electricity twitter posts
P. Kaur
Maryam Edalati
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Sort by Structure: Language Model Ranking as Dependency Probing
Sort by Structure: Language Model Ranking as Dependency Probing
Max Müller-Eberstein
Rob van der Goot
Barbara Plank
71
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10 Jun 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Nan Luo
Yuan-zhang Li
Yajie Wang
Shan-Hung Wu
Yu-an Tan
Quan-xin Zhang
AAML
47
12
0
10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu
Philip J. Ball
Tim G. J. Rudner
Jack Parker-Holder
Michael A. Osborne
Yee Whye Teh
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132
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Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel
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Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
73
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TwiBot-22: Towards Graph-Based Twitter Bot Detection
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng
Zhaoxuan Tan
Herun Wan
Ningnan Wang
Zilong Chen
...
Yanbo Wang
Lijing Zheng
Zihan Ma
Jundong Li
Minnan Luo
123
94
0
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NOMAD: Nonlinear Manifold Decoders for Operator Learning
NOMAD: Nonlinear Manifold Decoders for Operator Learning
Jacob H. Seidman
Georgios Kissas
P. Perdikaris
George J. Pappas
AI4CE
98
78
0
07 Jun 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel
  Regime
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman
Guido Montúfar
82
15
0
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Crust Macrofracturing as the Evidence of the Last Deglaciation
Crust Macrofracturing as the Evidence of the Last Deglaciation
I. Aleshin
K. Kholodkov
E. Kozlovskaya
I. Malygin
18
1
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floodlight -- A high-level, data-driven sports analytics framework
floodlight -- A high-level, data-driven sports analytics framework
Dominik Raabe
Henrik Biermann
Manuel Bassek
Martin Wohlan
Rumena Komitova
R. Rein
Tobias Kuppens Groot
D. Memmert
AI4CE
13
11
0
03 Jun 2022
Predicting Political Ideology from Digital Footprints
Predicting Political Ideology from Digital Footprints
M. Kitchener
Nandini Anantharama
Simon D Angus
P. Raschky
22
4
0
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Extensive Study of Multiple Deep Neural Networks for Complex Random
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Extensive Study of Multiple Deep Neural Networks for Complex Random Telegraph Signals
Marcel Robitaille
HeeBong Yang
Lu Wang
Na Young Kim
29
1
0
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VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series
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VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Kashif Rasul
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BDLAI4TS
38
4
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Automatic differentiation of nonsmooth iterative algorithms
Automatic differentiation of nonsmooth iterative algorithms
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
104
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Nested sampling for physical scientists
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G. Ashton
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Xi Chen
Gábor Csányi
...
Leah F. South
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Philipp Wacker
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David Yallup
108
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Chefs' Random Tables: Non-Trigonometric Random Features
Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov
K. Choromanski
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Frederick Liu
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Adrian Weller
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PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point
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PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud
Luyang Li
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3DPC
62
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Walle: An End-to-End, General-Purpose, and Large-Scale Production System
  for Device-Cloud Collaborative Machine Learning
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
Chengfei Lv
Chaoyue Niu
Renjie Gu
Xiaotang Jiang
Zhaode Wang
...
Guohuan Xu
Leilei Gan
Shaojie Tang
Fan Wu
Guihai Chen
MoELRM
49
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So3krates: Equivariant attention for interactions on arbitrary
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So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems
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Sparse Graph Learning from Spatiotemporal Time Series
Sparse Graph Learning from Spatiotemporal Time Series
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CMLAI4TS
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Active Labeling: Streaming Stochastic Gradients
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Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
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Mirco Musolesi
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BolT: Fused Window Transformers for fMRI Time Series Analysis
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H. Bedel
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Self-distilled Knowledge Delegator for Exemplar-free Class Incremental
  Learning
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
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BDLCLL
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A Case of Exponential Convergence Rates for SVM
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Stefano Vigogna
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Planning with Diffusion for Flexible Behavior Synthesis
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Relational representation learning with spike trains
Relational representation learning with spike trains
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Robust Losses for Learning Value Functions
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Global geomagnetic perturbation forecasting using Deep Learning
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DNA data storage, sequencing data-carrying DNA
DNA data storage, sequencing data-carrying DNA
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SyDa
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Bias and Priors in Machine Learning Calibrations for High Energy Physics
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Jesse Thaler
AI4CE
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Paired Image-to-Image Translation Quality Assessment Using Multi-Method
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Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion
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Esin Yavuz
Sébastien Béhuret
EGVM
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Mei Si
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J. Braasch
Usa
LLMAG
67
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DL4DS -- Deep Learning for empirical DownScaling
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AI4ClAI4CE
46
6
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Scalable computation of prediction intervals for neural networks via
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Scalable computation of prediction intervals for neural networks via matrix sketching
Alexander Fishkov
Maxim Panov
UQCV
54
1
0
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Interactive Model Cards: A Human-Centered Approach to Model
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Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
78
90
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Accelerating phase-field-based simulation via machine learning
Accelerating phase-field-based simulation via machine learning
Iman Peivaste
N. Siboni
G. Alahyarizadeh
R. Ghaderi
Bob Svendsen
Dierk Raabe
J. Mianroodi
AI4CE
28
3
0
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Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation
Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation
Trevor Wong
Karn N. Watcharasupat
Bhan Lam
Kenneth Ooi
Zhen-Ting Ong
Furi Andi Karnapi
W. Gan
47
5
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Bona fide Riesz projections for density estimation
Bona fide Riesz projections for density estimation
Pol del Aguila Pla
M. Unser
18
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PyGOD: A Python Library for Graph Outlier Detection
PyGOD: A Python Library for Graph Outlier Detection
Kay Liu
Yingtong Dou
Xueying Ding
Xiyang Hu
Ruitong Zhang
Hao Peng
Kai Shu
Philip S. Yu
AI4TS
117
51
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Estimating and Penalizing Induced Preference Shifts in Recommender
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Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Micah Carroll
Anca Dragan
Stuart J. Russell
Dylan Hadfield-Menell
OffRL
125
44
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