Papers citing "Array Programming with NumPy"

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Title
Recovery Guarantees for Distributed-OMP Chen Amiraz Robert Krauthgamer B. Nadler 79 0 0 15 Sep 2022
Cluster-based multidimensional scaling embedding tool for data visualization Patricia Hernández-León M. A. Caro 79 6 0 14 Sep 2022
Scalable Spatiotemporal Graph Neural Networks Andrea Cini Ivan Marisca F. Bianchi Cesare Alippi AI4TS AI4CE 96 56 0 14 Sep 2022
Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's Saurav K. Aryal H. Prioleau L. Burge 50 3 0 13 Sep 2022
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds Lingdong Wang Mohammad Hajiesmaili Jacob Chakareski R. Sitaraman 3DPC 40 4 0 12 Sep 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition Matthew Fahrbach Thomas Fu Mehrdad Ghadiri 98 15 0 11 Sep 2022
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity R. Pandey Akshit Achara 242 1 0 10 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori Tatsunori B. Hashimoto 119 48 0 08 Sep 2022
Python Implementation of the Dynamic Distributed Dimensional Data Model Hayden Jananthan Lauren Milechin Michael Jones William Arcand William Bergeron ... Albert Reuther Antonio Rosa S. Samsi Charles Yee J. Kepner GP 25 2 0 01 Sep 2022
A GPU accelerated Genetic Algorithm for the Construction of Hadamard Matrices A. Balogh Raven Ruiz 19 2 0 31 Aug 2022
Augraphy: A Data Augmentation Library for Document Images Alexander Groleau Kok Wei Chee Stefan Larson Samay Maini Jonathan Boarman 96 10 0 30 Aug 2022
On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings V. Filipov Alessio Arleo M. Bögl Silvia Miksch AI4CE 38 2 0 29 Aug 2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 90 3 0 26 Aug 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 74 4 0 26 Aug 2022
Privacy with Good Taste: A Case Study in Quantifying Privacy Risks in Genetic Scores Raúl Pardo Willard Rafnsson Gregor Steinhorn D. Lavrov T. Lumley Christian W. Probst I. Ziedins Andrzej Wasowski 20 2 0 26 Aug 2022
JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU L. Hofer Milan Krstajić Robert P. Smith 21 1 0 25 Aug 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 104 5 0 25 Aug 2022
Convergence bounds for local least squares approximation Philipp Trunschke 24 2 0 23 Aug 2022
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity Nikhil V. S. Avula S. K. Veesam Sudarshan Behera S. Balasubramanian 55 8 0 23 Aug 2022
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System Bernd Gruner Tim Sonnekalb Thomas S. Heinze C. Brust 80 2 0 19 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 60 38 0 19 Aug 2022
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions M. Appel 67 3 0 18 Aug 2022
Distributed Out-of-Memory SVD on CPU/GPU Architectures Ismael Boureima Manish Bhattarai M. Eren N. Solovyev H. Djidjev Boian S. Alexandrov 54 3 0 17 Aug 2022
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency Zhenyu Lei Herun Wan Wenqian Zhang Shangbin Feng Zilong Chen Jundong Li Qinghua Zheng Minnan Luo 71 27 0 17 Aug 2022
Nesterov smoothing for sampling without smoothness JiaoJiao Fan Bo Yuan Jiaming Liang Yongxin Chen 89 2 0 15 Aug 2022
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory Salvatore Cali D. Hackett Yin-Heng Lin P. Shanahan Brian Xiao 26 10 0 04 Aug 2022
Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces Miroslav Vorechovský 21 14 0 04 Aug 2022
Interpretable bilinear attention network with domain adaptation improves drug-target prediction Peizhen Bai Filip Miljković Bino John Haiping Lu OOD 47 158 0 03 Aug 2022
Efficient Long-Text Understanding with Short-Text Models Maor Ivgi Uri Shaham Jonathan Berant VLM 126 84 0 01 Aug 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks Alessio Colucci A. Steininger Mohamed Bennai 73 12 0 31 Jul 2022
Bump hunting through density curvature features José E. Chacón Javier Fernández Serrano 56 1 0 30 Jul 2022
Improved Policy Optimization for Online Imitation Learning J. Lavington Sharan Vaswani Mark Schmidt OffRL 79 6 0 29 Jul 2022
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy Mohamed Hibat-Allah R. Melko Juan Carrasquilla 44 19 0 28 Jul 2022
Calibrate: Interactive Analysis of Probabilistic Model Output Peter Xenopoulos Joao Rulff L. G. Nonato Brian Barr Claudio Silva 66 13 0 27 Jul 2022
HouseX: A Fine-grained House Music Dataset and its Potential in the Music Industry Xinyu Li 40 3 0 24 Jul 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 97 37 0 21 Jul 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 83 57 0 21 Jul 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 101 78 0 19 Jul 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 79 5 0 19 Jul 2022
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions Ryan Abbott M. S. Albergo D. Boyda Kyle Cranmer D. Hackett ... Danilo Jimenez Rezende F. Romero-López P. Shanahan B. Tian Julian M. Urban 93 43 0 18 Jul 2022
Interpolation, extrapolation, and local generalization in common neural networks L. Bonnasse-Gahot 68 3 0 18 Jul 2022
Meta-Referential Games to Learn Compositional Learning Behaviours Kevin Denamganai S. Missaoui James Alfred Walker 62 1 0 16 Jul 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney Marc G. Bellemare OffRL 67 12 0 15 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 31 1 0 14 Jul 2022
Zero-shot Cross-lingual Transfer is Under-specified Optimization Shijie Wu Benjamin Van Durme Mark Dredze 65 7 0 12 Jul 2022
ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles Brian Liu Miao Xie Haoyue Yang Madeleine Udell 94 1 0 08 Jul 2022
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria Scott Emmons Caspar Oesterheld Andrew Critch Vincent Conitzer Stuart J. Russell 42 10 0 07 Jul 2022
Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi Nicolas Audebert Nicolas Thome Clément Rambour Xavier Bitot 58 7 0 05 Jul 2022
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem Alexandros Kontogiannis M. Juniper 51 10 0 04 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 77 22 0 30 Jun 2022