Papers citing "Array Programming with NumPy"

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Title
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 200 30 0 29 May 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation Mark Rowland Yunhao Tang Clare Lyle Rémi Munos Marc G. Bellemare Will Dabney 90 11 0 28 May 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 163 27 0 28 May 2023
Backpack Language Models John Hewitt John Thickstun Christopher D. Manning Percy Liang KELM 101 16 0 26 May 2023
Mapping ChatGPT in Mainstream Media to Unravel Jobs and Diversity Challenges: Early Quantitative Insights through Sentiment Analysis and Word Frequency Analysis Maya Karanouh 28 3 0 25 May 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 97 4 0 25 May 2023
DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling using Implicit Neural Representations Gabriel Guo Judah Goldfeder Aniv Ray Tony Dear Hod Lipson 58 0 0 24 May 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 80 1 0 24 May 2023
Metrics Matter in Surgical Phase Recognition Isabel Funke Dominik Rivoir Stefanie Speidel 54 11 0 23 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 154 377 0 22 May 2023
Uncertainty and Structure in Neural Ordinary Differential Equations Katharina Ott Michael Tiemann Philipp Hennig AI4CE 116 5 0 22 May 2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions Bosheng Qin Juncheng Li Siliang Tang Tat-Seng Chua Yueting Zhuang VGen DiffM 71 17 0 21 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 103 23 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 100 1 0 19 May 2023
PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems S. Mao R. Dong Lu Lu K. M. Yi Sizhuang He P. Perdikaris 84 17 0 18 May 2023
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java Patrick Diehl Steven R. Brandt Max Morris Nikunj Gupta Hartmut Kaiser 47 7 0 18 May 2023
$Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h$^{-1}$$ Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h $^{-1}$ Guy R. Y. Coleman A. Macintyre Michael Walsh W. Salter 115 3 0 17 May 2023
UQpy v4.1: Uncertainty Quantification with Python Dimitrios Tsapetis Michael D. Shields Dimitris G. Giovanis Audrey Olivier Lukás Novák ... Mohit Chauhan Katiana Kontolati Lohit Vandanapu Dimitrios Loukrezis Michael Gardner GP 70 12 0 16 May 2023
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility Supawit Chockchowwat Zhaoheng Li Yongjoo Park 38 4 0 15 May 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models Shangbin Feng Chan Young Park Yuhan Liu Yulia Tsvetkov 104 248 0 15 May 2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge Shangbin Feng Vidhisha Balachandran Yuyang Bai Yulia Tsvetkov KELM HILM 72 59 0 14 May 2023
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets Ayman Elhalwagy T. Kalganova AI4TS 64 1 0 14 May 2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study V. Nguyen Truong-Son Hy Long Tran-Thanh N. Nghiem 93 8 0 12 May 2023
Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning Anna Lueber D. Kitzmann C. Fisher B. Bowler A. Burgasser M. Marley K. Heng 24 7 0 12 May 2023
NUBO: A Transparent Python Package for Bayesian Optimization Mike Diessner Kevin J. Wilson Richard D. Whalley 68 2 0 11 May 2023
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA A. Bouter Peter A. N. Bosman 21 1 0 10 May 2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning Adam Michalski Filippos Christianos Stefano V. Albrecht 50 4 0 09 May 2023
Materials Informatics: An Algorithmic Design Rule B. Bishnoi 58 0 0 05 May 2023
Locosim: an Open-Source Cross-Platform Robotics Framework Michele Focchi Sherri Rose Claudio Semini 69 5 0 03 May 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 108 42 0 02 May 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 120 63 0 28 Apr 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms H. Just Feiyang Kang Jiachen T. Wang Yi Zeng Myeongseob Ko Ming Jin R. Jia 109 62 0 28 Apr 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 69 5 0 27 Apr 2023
ganX -- generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images A. Bombini 109 3 0 27 Apr 2023
Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism W. Fang Yanggeng Fu Jiaquan Gao Longkun Guo G. Gutin Xiaoyan Zhang 13 1 0 26 Apr 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 101 29 0 25 Apr 2023
Phylo2Vec: a vector representation for binary trees Matthew J. Penn Neil Scheidwasser Mark P Khurana D. Duchêne C. Donnelly Samir Bhatt 72 3 0 25 Apr 2023
Sparse Private LASSO Logistic Regression Amol Khanna Fred Lu Edward Raff Brian Testa 60 3 0 24 Apr 2023
Adversarial Generative NMF for Single Channel Source Separation Martin Ludvigsen M. Grasmair GAN 63 0 0 24 Apr 2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks Heng Wang Wenqian Zhang Yuyang Bai Zhaoxuan Tan Shangbin Feng Qinghua Zheng Minnan Luo 76 4 0 22 Apr 2023
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset David L. Gordon P. Petousis A. Garlid K. Norris K. Tuttle S. Nicholas Alex A. T. Bui CML OOD 38 2 0 20 Apr 2023
Prak: An automatic phonetic alignment tool for Czech V. Hanzl Adléta Hanzlová 29 0 0 17 Apr 2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM Yihao Liu Jiaming Zhang Zhangcong She Amir Kheradmand Mehran Armand VLM 109 41 0 12 Apr 2023
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement Zhonglin Cao Yuyang Wang Cooper Lorsung A. Farimani 60 0 0 10 Apr 2023
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Chris Xiaoxuan Lu Tom Zahavy Valentin Dalibard Sebastian Flennerhag 114 36 0 08 Apr 2023
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables Sacha Morin Robin Legault Félix Laliberté Zsuzsa Bakk Charles-Édouard Giguère R. Sablonnière Éric Lacourse 49 9 0 07 Apr 2023
Data Aware Neural Architecture Search Emil Njor J. Madsen Xenofon Fafoutis 73 7 0 04 Apr 2023
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems Amir Nassereldine Safaa Diab M. Baydoun Kenneth Leach M. Alt D. Milojicic I. E. Hajj 29 4 0 04 Apr 2023
Bayesian neural networks via MCMC: a Python-based tutorial Rohitash Chandra Royce Chen Joshua Simmons BDL 113 11 0 02 Apr 2023
Geometric constraints improve inference of sparsely observed stochastic dynamics Dimitra Maoutsa AI4CE 95 3 0 02 Apr 2023