Papers citing "Array Programming with NumPy"

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Title
$ρ$ -Diffusion: A diffusion-based density estimation framework for computational physics Maxwell X. Cai Kin Long Kelvin Lee DiffM 51 1 0 13 Dec 2023
Neural Reasoning About Agents' Goals, Preferences, and Actions Matteo Bortoletto Lei Shi Andreas Bulling 72 5 0 12 Dec 2023
Grokking Group Multiplication with Cosets Dashiell Stander Qinan Yu Honglu Fan Stella Biderman 93 11 0 11 Dec 2023
A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling Hung Chun Hsu Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang 98 0 0 11 Dec 2023
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections Marcel Wagenlander Guo Li Bo Zhao Kai Zou Peter R. Pietzuch 96 7 0 08 Dec 2023
A Hybrid Classical-Quantum HPC Workload Aniello Esposito Sebastien Cabaniols Jessica R. Jones David Brayford 15 5 0 08 Dec 2023
Collinear datasets augmentation using Procrustes validation sets Sergey Kucheryavskiy Sergei Zhilin 40 0 0 08 Dec 2023
A kinetic Monte Carlo Approach for Boolean Logic Functionality in Gold Nanoparticle Networks Jonas Mensing Wilfred G. van der Wiel Andreas Heuer 49 1 0 07 Dec 2023
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification Peng Tang Xintong Yan Yang Nan Xiaobin Hu Bjoern Menze Sebastian Krammer Tobias Lasser 31 2 0 07 Dec 2023
Modeling Boundedly Rational Agents with Latent Inference Budgets Athul Paul Jacob Abhishek Gupta Jacob Andreas 48 2 0 07 Dec 2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting Tung Nguyen Rohan Shah Hritik Bansal T. Arcomano Sandeep Madireddy R. Maulik V. Kotamarthi Ian Foster Aditya Grover AI4TS 63 68 0 06 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 52 1 0 06 Dec 2023
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild Ke Alexander Wang Emily B. Fox DRL 51 0 0 06 Dec 2023
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing Natalia Soboleva Olga Gorbunova Maria Ivanova Evgeny Burnaev Matthias Nießner Denis Zorin Alexey Artemov 50 0 0 30 Nov 2023
Bayesian Imaging for Radio Interferometry with Score-Based Priors Noé Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos A. Scaife Y. Hezaveh Laurence Perreault Levasseur 80 4 0 29 Nov 2023
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors Alexandre Adam Connor Stone Connor Bottrell Ronan Legin Y. Hezaveh Laurence Perreault Levasseur 107 3 0 29 Nov 2023
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles Adrian Nilsson Simon Smith Jonas Hagmar Magnus Önnheim Mats Jirstrand 30 0 0 29 Nov 2023
Visual cognition in multimodal large language models Luca M. Schulze Buschoff Elif Akata Matthias Bethge Eric Schulz LRM 127 20 0 27 Nov 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning Jiaqi Li Yuanhao Lai Rui Wang Changjian Shui Sabyasachi Sahoo Charles Ling Shichun Yang Boyu Wang Christian Gagné Fan Zhou CLL 96 1 0 26 Nov 2023
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs Soham Bafana 48 0 0 22 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 80 0 0 21 Nov 2023
Continuous Management of Machine Learning-Based Application Behavior M. Anisetti C. Ardagna Nicola Bena Ernesto Damiani Paolo G. Panero KELM 55 0 0 21 Nov 2023
Machine-Guided Discovery of a Real-World Rogue Wave Model Dion Häfner Johannes Gemmrich Markus Jochum AI4CE 39 10 0 21 Nov 2023
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing Jie Ren Han Xu Yiding Liu Yingqian Cui Shuaiqiang Wang Dawei Yin Jiliang Tang OffRL 121 53 0 15 Nov 2023
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework Kaiming Cui D. J. Armstrong Fabo Feng 47 2 0 14 Nov 2023
Computer Vision for Particle Size Analysis of Coarse-Grained Soils S. Youwai Parchya Makam 19 1 0 11 Nov 2023
A Compiler from Array Programs to Vectorized Homomorphic Encryption Rolph Recto Andrew C. Myers 101 2 0 10 Nov 2023
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification Fabi Prezja L. Annala Sampsa Kiiskinen Suvi Lahtinen Timo Ojala 55 2 0 10 Nov 2023
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values Dylan Green Stephen Bailey 14 2 0 08 Nov 2023
Compressive Recovery of Sparse Precision Matrices Titouan Vayer Etienne Lasalle Rémi Gribonval Paulo Gonçalves 63 0 0 08 Nov 2023
SCADDA: Spatio-temporal cluster analysis with density-based distance augmentation and its application to fire carbon emissions Ben Moews Antonia Gieschen 17 0 0 07 Nov 2023
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover Lei Zhang Markus Stricker 69 3 0 07 Nov 2023
Riemannian Laplace Approximation with the Fisher Metric Hanlin Yu Marcelo Hartmann Bernardo Williams Mark Girolami Arto Klami 109 3 0 05 Nov 2023
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange Yujin Tang Yingtao Tian ELM 76 3 0 04 Nov 2023
$Generating QM1B with PySCF$_{\text{IPU}}$$ Generating QM1B with PySCF $_{\text{IPU}}$ Alexander Mathiasen Hatem Helal Kerstin Klaser Paul Balanca Josef Dean Carlo Luschi Dominique Beaini Andrew Fitzgibbon Dominic Masters 100 1 0 02 Nov 2023
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Yang Cai Gabriele Farina Julien Grand-Clément Christian Kroer Chung-Wei Lee Haipeng Luo Weiqiang Zheng 80 2 0 01 Nov 2023
A spectral regularisation framework for latent variable models designed for single channel applications Ryan Balshaw P. Heyns Daniel N. Wilke Stephan Schmidt 48 1 0 30 Oct 2023
Efficient Shapley Performance Attribution for Least-Squares Regression Logan Bell Nikhil Devanathan Stephen Boyd TDI FAtt 78 0 0 30 Oct 2023
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations Jungtaek Kim Mingxuan Li Oliver Hinder Paul W. Leu 52 1 0 29 Oct 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 67 5 0 28 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 68 4 0 27 Oct 2023
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem Xiaoyang Xu Hu Ding OT 24 1 0 27 Oct 2023
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch Jeff Hwang Moto Hira Caroline Chen Xiaohui Zhang Zhaoheng Ni ... Yumeng Tao Robin Scheibler Samuele Cornell Sean Kim Stavros Petridis 108 23 0 27 Oct 2023
Free-form Flows: Make Any Architecture a Normalizing Flow Felix Dräxler Peter Sorrenson Lea Zimmermann Armand Rousselot Ullrich Kothe TPM DRL AI4CE BDL 103 11 0 25 Oct 2023
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence Wei Fang Yanqing Chen Jianhao Ding Zhaofei Yu T. Masquelier Ding Chen Liwei Huang Huihui Zhou Guoqi Li Yonghong Tian 112 235 0 25 Oct 2023
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training Max Müller-Eberstein Rob van der Goot Barbara Plank Ivan Titov 121 10 0 25 Oct 2023
Compressed representation of brain genetic transcription James K. Ruffle Henry Watkins Robert J. Gray H. Hyare Michel Thiebaut de Schotten P. Nachev 53 0 0 24 Oct 2023
MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach Kimberly Moreland M. Dayeh Hazel M. Bain Subhamoy Chatterjee A. Muñoz-Jaramillo S. Hart 13 1 0 23 Oct 2023
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression Anshuman Pradhan Kyra H Adams Venkat Chandrasekaran Zhen Liu J. Reager Andrew M. Stuart M. Turmon 29 0 0 23 Oct 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control Ming Xu Timothy Molloy Stephen Gould 70 7 0 23 Oct 2023