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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
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Papers citing "Array Programming with NumPy"

50 / 56 papers shown
Title
A Structured Tour of Optimization with Finite Differences
A Structured Tour of Optimization with Finite Differences
Marco Rando
C. Molinari
Lorenzo Rosasco
S. Villa
124
0
0
26 May 2025
Fluorescence Reference Target Quantitative Analysis Library
Fluorescence Reference Target Quantitative Analysis Library
Eammon A. Littler
Emmanuel A. Mannoh
Ethan P. M. LaRochelle
LM&MA
26
1
0
22 Apr 2025
Enhancing Wide-Angle Image Using Narrow-Angle View of the Same Scene
Enhancing Wide-Angle Image Using Narrow-Angle View of the Same Scene
Hussain Md. Safwan
Mahbub Islam Mahim
64
0
0
13 Apr 2025
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
Edward DongBo Cui
Lu Zhang
William Ping-hsun Lee
45
0
0
03 Apr 2025
STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis
STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis
J. Trayford
Samantha Youles
C. M. Harrison
Rose Shepherd
Nicolas Bonne
17
0
0
02 Apr 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang
Yair Schiff
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
97
9
0
01 Mar 2025
Elastic Restaking Networks
Elastic Restaking Networks
Roi Bar Zur
Ittay Eyal
40
2
0
28 Feb 2025
Similarity-Distance-Magnitude Universal Verification
Similarity-Distance-Magnitude Universal Verification
Allen Schmaltz
UQCV
AAML
406
0
0
27 Feb 2025
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
Mykola Kozlenko
Olena Zamikhovska
Leonid Zamikhovskyi
84
2
0
25 Feb 2025
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Armando Bellante
Tommaso Fioravanti
Michele Carminati
S. Zanero
Alessandro Luongo
92
0
0
16 Feb 2025
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
63
0
0
14 Feb 2025
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
80
0
0
13 Feb 2025
Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
Ashley Ferreira
Mahip Singh
Yukiya Saito
Andrea Capra
Ina Carli
...
Makoto C. Fujiwara
Muyan Li
Lars Martin
Gareth Smith
Anqui Xu
3DPC
58
0
0
13 Feb 2025
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Nolan Koblischke
Hyunseok Jang
Kristen Menou
M. Ali-Dib
93
2
0
30 Jan 2025
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z<1.4z < 1.4z<1.4 in the Hyper Supreme-Cam Wide Survey
Chuan Tian
C. Urry
Aritra Ghosh
Daisuke Nagai
T. Ananna
...
Connor Auge
Aayush Mishra
D. Sanders
N. Cappelluti
Kevin Schawinski
55
0
0
28 Jan 2025
Robust Self-calibration of Focal Lengths from the Fundamental Matrix
Robust Self-calibration of Focal Lengths from the Fundamental Matrix
Viktor Kocur
Daniel Kyselica
Zuzana Kúkelová
46
3
0
03 Jan 2025
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana
Michael McCabe
Lucas Meyer
Rudy Morel
Fruzsina J. Agocs
...
François Rozet
Liam Parker
M. Cranmer
S. Ho
Shirley Ho
PINN
AI4CE
113
12
1
30 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Bürkner
BDL
126
1
0
24 Nov 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
84
0
0
25 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
77
21
0
15 Oct 2024
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
CLL
ALM
50
2
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
40
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
65
0
0
14 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu
J. Obando-Ceron
Rameswar Panda
L. Pan
56
4
0
10 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
109
6
0
04 Oct 2024
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
52
0
0
04 Oct 2024
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto
P. Perdikaris
70
7
0
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
237
5
0
02 Oct 2024
Scaling Optimal LR Across Token Horizons
Scaling Optimal LR Across Token Horizons
Johan Bjorck
Alon Benhaim
Vishrav Chaudhary
Furu Wei
Xia Song
80
5
0
30 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
MLT
AI4CE
45
2
0
26 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes
Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl
Evgenii Egorov
41
0
0
06 Sep 2024
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Anton Kozyriev
Vladimir Norkin
MQ
52
3
0
03 Sep 2024
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
Maria Laura Santoni
Elena Raponi
Aneta Neumann
Frank Neumann
Mike Preuss
Carola Doerr
41
0
0
29 Aug 2024
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
Peiming Guo
Sinuo Liu
Yanzhao Zhang
Dingkun Long
Pengjun Xie
Meishan Zhang
Hao Fei
DiffM
87
1
0
16 Aug 2024
dlordinal: a Python package for deep ordinal classification
dlordinal: a Python package for deep ordinal classification
Francisco Bérchez-Moreno
V. M. Vargas
Rafael Ayllón-Gavilán
David Guijo Rubio
César Hervás-Martinez
J. C. Fernández
Pedro Antonio Gutiérrez
141
0
0
24 Jul 2024
Representing Rule-based Chatbots with Transformers
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
97
1
0
15 Jul 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
82
1
0
30 May 2024
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
58
2
0
30 May 2024
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann
Viktoria-S. Schmiesing
Dennis Wilken
Jan Heine
Aaron Tranter
Avishek Anand
Tobias J. Osborne
M. Heurs
58
2
0
24 May 2024
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
Akira Kitaoka
51
0
0
23 May 2024
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity
Zhufeng Li
S. S. Cranganore
Nicholas D. Youngblut
Niki Kilbertus
63
2
0
09 May 2024
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
Pingzhi Li
Junyu Liu
Hanrui Wang
Tianlong Chen
121
1
0
30 Apr 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants
Abdoulaye Sakho
Emmanuel Malherbe
Erwan Scornet
43
2
0
06 Feb 2024
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Klos
Raoul-Martin Memmesheimer
74
6
0
25 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
170
29
0
13 Sep 2023
Personalized Privacy Amplification via Importance Sampling
Personalized Privacy Amplification via Importance Sampling
Dominik Fay
Sebastian Mair
Jens Sjölund
79
0
0
05 Jul 2023
Deep Huber quantile regression networks
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
70
2
0
17 Jun 2023
Phylo2Vec: a vector representation for binary trees
Phylo2Vec: a vector representation for binary trees
Matthew J. Penn
Neil Scheidwasser
Mark P Khurana
D. Duchêne
C. Donnelly
Samir Bhatt
43
3
0
25 Apr 2023
A Fast Horizon Detector and a New Annotated Dataset for Maritime Video Processing
A Fast Horizon Detector and a New Annotated Dataset for Maritime Video Processing
Yassir Zardoua
Boulaala Mohammed
Mhamed El Mrabet
Astito Abdelali
102
0
0
26 Oct 2021
Reproducing GW150914: the first observation of gravitational waves from
  a binary black hole merger
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
Duncan A. Brown
K. Vahi
M. Taufer
Von Welch
Ewa Deelman
13
2,321
0
14 Oct 2020
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