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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 / 1,339 papers shown
Title
Analysis of Blockchain Assisted Energy Sharing Algorithms with Realistic
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Analysis of Blockchain Assisted Energy Sharing Algorithms with Realistic Data Across Microgrids
Abdulrezzak Zekiye
Ozan Sina Bankaoglu
Ouns Bouachir
Öznur Özkasap
Moayad Aloqaily
50
2
0
07 Nov 2024
Running Markov Chain Monte Carlo on Modern Hardware and Software
Running Markov Chain Monte Carlo on Modern Hardware and Software
Pavel Sountsov
Colin Carroll
Matthew D. Hoffman
BDL
61
5
0
06 Nov 2024
Open-Source High-Speed Flight Surrogate Modeling Framework
Open-Source High-Speed Flight Surrogate Modeling Framework
Tyler E. Korenyi-Both
Nathan J. Falkiewicz
Matthew C. Jones
AI4CE
61
0
0
06 Nov 2024
GitChameleon: Unmasking the Version-Switching Capabilities of Code
  Generation Models
GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models
Nizar Islah
Justine Gehring
Diganta Misra
Eilif B. Muller
Irina Rish
Terry Yue Zhuo
Massimo Caccia
SyDa
54
1
0
05 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani
Lorenzo Giusti
Albert Sund Aillet
Simona Sacco
Paolo Manganotti
...
Pierpaolo Brutti
Pietro Caliandro
Luigi Serio
Pietro Caliandro
Luigi Serio
FedML
49
0
0
04 Nov 2024
RobPy: a Python Package for Robust Statistical Methods
RobPy: a Python Package for Robust Statistical Methods
Sarah Leyder
Jakob Raymaekers
P. Rousseeuw
Thomas Servotte
Tim Verdonck
62
2
0
04 Nov 2024
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Lukas Miklautz
Timo Klein
Kevin Sidak
Collin Leiber
Thomas Lang
Andrii Shkabrii
Sebastian Tschiatschek
Claudia Plant
142
1
0
04 Nov 2024
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Rodrigo Carmo Terin
PINN
91
1
0
04 Nov 2024
On Sampling Strategies for Spectral Model Sharding
On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov
Christos Louizos
FedML
62
0
0
31 Oct 2024
CALE: Continuous Arcade Learning Environment
CALE: Continuous Arcade Learning Environment
Jesse Farebrother
Pablo Samuel Castro
ELM
68
0
0
31 Oct 2024
Very fast Bayesian Additive Regression Trees on GPU
Very fast Bayesian Additive Regression Trees on GPU
Giacomo Petrillo
71
0
0
30 Oct 2024
ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback
ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback
Keiya Hirashima
K. Moriwaki
M. Fujii
Y. Hirai
T. Saitoh
Junnichiro Makino
Ulrich P. Steinwandel
Shirley Ho
33
0
0
30 Oct 2024
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability
  meets Adaptive Noise Levels
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
Timothy D. Gebhard
J. Wildberger
Maximilian Dax
Annalena Kofler
Daniel Angerhausen
S. Quanz
Bernhard Schölkopf
134
2
0
28 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
Stefan Wahl
Armand Rousselot
Felix Dräxler
Ullrich Kothe
Ullrich Köthe
178
1
0
25 Oct 2024
Multi-agent cooperation through learning-aware policy gradients
Multi-agent cooperation through learning-aware policy gradients
Alexander Meulemans
Seijin Kobayashi
J. Oswald
Nino Scherrer
Eric Elmoznino
Blake A. Richards
Guillaume Lajoie
Blaise Agüera y Arcas
João Sacramento
79
1
0
24 Oct 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational
  Lens Analysis
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
Paxson Swierc
Marcos Tamargo-Arizmendi
A. Ćiprijanović
Brian D. Nord
67
3
0
21 Oct 2024
Generating Tabular Data Using Heterogeneous Sequential Feature Forest
  Flow Matching
Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching
Ange-Clément Akazan
Alexia Jolicoeur-Martineau
Ioannis Mitliagkas
68
0
0
20 Oct 2024
Rank Suggestion in Non-negative Matrix Factorization: Residual
  Sensitivity to Initial Conditions (RSIC)
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
Marc Tunnell
Zachary J. DeBruine
Erin Carrier
45
0
0
18 Oct 2024
You Shall Know a Tool by the Traces it Leaves: The Predictability of
  Sentiment Analysis Tools
You Shall Know a Tool by the Traces it Leaves: The Predictability of Sentiment Analysis Tools
Daniel Baumartz
Mevlut Bagci
Alexander Henlein
Maxim Konca
Andy Lucking
Alexander Mehler
144
0
0
18 Oct 2024
A Lattice-based Method for Optimization in Continuous Spaces with
  Genetic Algorithms
A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
Cameron D. Harris
Kevin B. Schroeder
Jonathan Black
33
1
0
16 Oct 2024
Improving Instruction-Following in Language Models through Activation Steering
Improving Instruction-Following in Language Models through Activation Steering
Alessandro Stolfo
Vidhisha Balachandran
Safoora Yousefi
Eric Horvitz
Besmira Nushi
LLMSV
156
28
0
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Balancing Continuous Pre-Training and Instruction Fine-Tuning:
  Optimizing Instruction-Following in LLMs
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
Ishan Jindal
Chandana Badrinath
Pranjal Bharti
Lakkidi Vinay
Sachin Dev Sharma
CLLALM
82
2
0
14 Oct 2024
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
Nicholas Krämer
65
0
0
14 Oct 2024
Emulators for stellar profiles in binary population modeling
Emulators for stellar profiles in binary population modeling
Elizabeth Teng
Ugur Demir
Zoheyr Doctor
Philipp M. Srivastava
Shamal Lalvani
...
Matthias U. Kruckow
K. A. Rocha
Meng Sun
Zepei Xing
E. Zapartas
83
0
0
14 Oct 2024
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature
Jan Vrba
Jakub Steinbach
Tomáš Jirsa
Laura Verde
Roberta De Fazio
...
Lukáš Hájek
Zuzana Sedláková
Jan Mareš
Jan Mareš
Noriyasu Homma
69
0
0
14 Oct 2024
Lifted Coefficient of Determination: Fast model-free prediction
  intervals and likelihood-free model comparison
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison
Daniel Salnikov
Kevin Michalewicz
Dan Leonte
OOD
46
0
0
11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu
J. Obando-Ceron
Rameswar Panda
L. Pan
111
6
0
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Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
90
1
0
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TIMBA: Time series Imputation with Bi-directional Mamba Blocks and
  Diffusion models
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models
Javier Solís-García
Belén Vega-Márquez
Juan A. Nepomuceno
Isabel A. Nepomuceno-Chamorro
MambaAI4TSAI4CE
66
0
0
08 Oct 2024
CALoR: Towards Comprehensive Model Inversion Defense
CALoR: Towards Comprehensive Model Inversion Defense
Hongyao Yu
Yixiang Qiu
Hao Fang
Bin Chen
Sijin Yu
Bin Wang
Shu-Tao Xia
Ke Xu
73
1
0
08 Oct 2024
lintsampler: Easy random sampling via linear interpolation
lintsampler: Easy random sampling via linear interpolation
Aneesh P. Naik
Michael S. Petersen
16
0
0
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Long-Context Linear System Identification
Long-Context Linear System Identification
Oğuz Kaan Yüksel
Mathieu Even
Nicolas Flammarion
125
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0
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Designing a Classifier for Active Fire Detection from Multispectral
  Satellite Imagery Using Neural Architecture Search
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search
Amber Cassimon
Phil Reiter
Siegfried Mercelis
Kevin Mets
73
0
0
07 Oct 2024
Towards Measuring Goal-Directedness in AI Systems
Towards Measuring Goal-Directedness in AI Systems
Dylan Xu
Juan-Pablo Rivera
63
3
0
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TrustEMG-Net: Using Representation-Masking Transformer with U-Net for
  Surface Electromyography Enhancement
TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography Enhancement
Kuan-Chen Wang
Kai-Chun Liu
Ping-Cheng Yeh
Sheng-Yu Peng
Yu Tsao
54
1
0
04 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
259
6
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NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
130
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Exploiting HDMI and USB Ports for GPU Side-Channel Insights
Exploiting HDMI and USB Ports for GPU Side-Channel Insights
Sayed Erfan Arefin
Abdul Serwadda
32
0
0
03 Oct 2024
Parameter Estimation of Long Memory Stochastic Processes with Deep
  Neural Networks
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks
Bálint Csanády
Lóránt Nagy
Dániel Boros
Iván Ivkovic
Dávid Kovács
Dalma Tóth-Lakits
László Márkus
András Lukács
AI4TSBDL
115
0
0
03 Oct 2024
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto
P. Perdikaris
111
7
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02 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
Ghada Sokar
J. Obando-Ceron
Rameswar Panda
Hugo Larochelle
Pablo Samuel Castro
MoE
331
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0
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Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRLSSL
102
2
0
01 Oct 2024
Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications
Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications
George R. Nahass
Emma Koehler
Nicholas Tomaras
Danny Lopez
Madison Cheung
...
Kelsey Green
Chad A. Purnell
P. Setabutr
Ann Q. Tran
Darvin Yi
51
2
0
30 Sep 2024
Scaling Optimal LR Across Token Horizons
Scaling Optimal LR Across Token Horizons
Johan Bjorck
Alon Benhaim
Vishrav Chaudhary
Furu Wei
Xia Song
142
8
0
30 Sep 2024
Simulation-based inference with the Python Package sbijax
Simulation-based inference with the Python Package sbijax
Simon Dirmeier
S. Ulzega
Antonietta Mira
Carlo Albert
66
4
0
28 Sep 2024
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond
Yusuke Matsui
Tatsuya Yokota
32
0
0
26 Sep 2024
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Mathieu Bazinet
Valentina Zantedeschi
Pascal Germain
MLTAI4CE
76
2
0
26 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry
  and Expression Classifiers using Synthetic Interventions
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
Tim Buchner
Niklas Penzel
Orlando Guntinas-Lichius
Joachim Denzler
CVBM
80
2
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24 Sep 2024
Micrometer: Micromechanics Transformer for Predicting Mechanical
  Responses of Heterogeneous Materials
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
Sizhuang He
Tong-Rui Liu
Shyam Sankaran
P. Perdikaris
AI4CE
90
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CAMAL: Optimizing LSM-trees via Active Learning
CAMAL: Optimizing LSM-trees via Active Learning
Weiping Yu
Siqiang Luo
Zihao Yu
Gao Cong
126
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23 Sep 2024
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