Papers citing "Array Programming with NumPy"

50 / 1,343 papers shown

Title
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 75 2 0 18 Dec 2022
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time Elena Burceanu Marius Leordeanu VOS 57 0 0 15 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 106 60 0 15 Dec 2022
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 74 1 0 14 Dec 2022
Hardware-efficient learning of quantum many-body states Katherine Van Kirk Jordan S. Cotler Hsin-Yuan Huang M. Lukin 66 20 0 12 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 124 6 0 12 Dec 2022
GPU-accelerated Guided Source Separation for Meeting Transcription Desh Raj Daniel Povey Sanjeev Khudanpur 69 40 0 10 Dec 2022
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations Wuzhe Xu Yulong Lu Li Wang 67 38 0 09 Dec 2022
Multi-View Mesh Reconstruction with Neural Deferred Shading Markus Worchel Rodrigo Diaz Weiwen Hu O. Schreer I. Feldmann Peter Eisert 3DV AI4CE 105 47 0 08 Dec 2022
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy Skye Berghel Philip Bohannon Damien Desfontaines Charles Estes Samuel Haney ... Tom Magerlein G. Miklau Amritha Pai William Sexton Ruchit Shrestha 64 21 0 08 Dec 2022
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces Charline Le Lan Joshua Greaves Jesse Farebrother Mark Rowland Fabian Pedregosa Rishabh Agarwal Marc G. Bellemare 110 8 0 08 Dec 2022
Understanding Self-Predictive Learning for Reinforcement Learning Yunhao Tang Z. Guo Pierre Harvey Richemond Bernardo Avila-Pires Yash Chandak ... S. Thakoor Will Dabney Bilal Piot Daniele Calandriello Michal Valko SSL 127 31 0 06 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford Jong Wook Kim Tao Xu Greg Brockman C. McLeavey Ilya Sutskever OffRL 230 3,770 0 06 Dec 2022
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library Mathieu Guillame-Bert Sebastian Bruch Richard Stotz Jan Pfeifer 66 13 0 06 Dec 2022
Quantum median filter for Total Variation image denoising Simone De Santis D. Lazzaro R. Mengoni S. Morigi 29 2 0 02 Dec 2022
Physics-Constrained Generative Adversarial Networks for 3D Turbulence D. Tretiak A. Mohan Daniel Livescu GAN AI4CE PINN 75 2 0 01 Dec 2022
On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits Jialin Yi Milan Vojnović 65 3 0 30 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 105 69 0 28 Nov 2022
Accelerated Nonnegative Tensor Completion via Integer Programming Wenhao Pan A. Aswani Chen Chen 77 1 0 28 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 84 45 0 28 Nov 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 121 106 0 28 Nov 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 63 4 0 28 Nov 2022
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data I. Andika K. Jahnke A. van der Wel E. Bañados S. Bosman ... A. Eilers A. Jaelani C. Mazzucchelli M. Onoue Jan-Torge Schindler 16 0 0 26 Nov 2022
Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli Stefano Massaroli Federico Berto J. Park Tri Dao Christopher Ré Stefano Ermon 47 18 0 26 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 107 22 0 25 Nov 2022
Data-driven identification and analysis of the glass transition in polymer melts Atreyee Banerjee H. Hsu K. Kremer O. Kukharenko 13 12 0 25 Nov 2022
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm Henri Bollaert Chris Cornelis 14 0 0 25 Nov 2022
Double Deep Q-Learning in Opponent Modeling Yangtianze Tao J. Doe 43 3 0 24 Nov 2022
DBA: Efficient Transformer with Dynamic Bilinear Low-Rank Attention Bosheng Qin Juncheng Li Siliang Tang Yueting Zhuang 52 2 0 24 Nov 2022
Exhaustive Symbolic Regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 86 28 0 21 Nov 2022
Data Leakage and Evaluation Issues in Micro-Expression Analysis Tuomas Varanka Yante Li Wei Peng Guoying Zhao AAML 60 6 0 21 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models Ajay Jain Amber Xie Pieter Abbeel DiffM 87 95 0 21 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Tom Zahavy Valenti Dallibard Chris Xiaoxuan Lu Satinder Singh Sebastian Flennerhag 112 49 0 21 Nov 2022
An Advantage Using Feature Selection with a Quantum Annealer Andrew Vlasic Hunter Grant Salvatore Certo 49 5 0 17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials Shehtab Zaman E. Ferguson Cécile Pereira D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu DiffM AI4CE 73 2 0 15 Nov 2022
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks Ji Won Park S. Birrer Madison Ueland M. Cranmer A. Agnello S. Wagner-Carena P. Marshall A. Roodman The Lsst Dark Energy Science Collaboration 140 3 0 15 Nov 2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 116 33 0 14 Nov 2022
Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption David Nugent 54 5 0 12 Nov 2022
A monitoring framework for deployed machine learning models with supply chain examples Bradley Eck Duygu Kabakci-Zorlu Yan Chen France Savard Xiao-Hua Bao 62 5 0 11 Nov 2022
pyRDDLGym: From RDDL to Gym Environments Ayal Taitler Michael Gimelfarb Jihwan Jeong Sriram Gopalakrishnan Martin Mladenov Xiaotian Liu Scott Sanner 114 10 0 11 Nov 2022
CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles Brian D. Ondov Harsh B. Patel Ai-Te Kuo H. Samet J. Kastner Yunheng Han Hong Wei Niklas Elmqvist 21 1 0 10 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Jisung Park Lois Orosa O. Mutlu 47 1 0 10 Nov 2022
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts Patrik Hammersborg Inga Strümke 27 6 0 10 Nov 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization Alexander Wikner Joseph Harvey M. Girvan Brian R. Hunt Andrew Pomerance Thomas Antonsen Edward Ott 80 6 0 09 Nov 2022
Posterior samples of source galaxies in strong gravitational lenses with score-based priors Alexandre Adam A. Coogan Nikolay Malkin Ronan Legin Laurence Perreault Levasseur Y. Hezaveh Yoshua Bengio DiffM 96 24 0 07 Nov 2022
scikit-fda: A Python Package for Functional Data Analysis Carlos Ramos-Carreño J. L. Torrecilla Miguel Carbajo-Berrocal P. Marcos A. Suárez GP AI4CE 198 26 0 04 Nov 2022
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning Randy J. Chase David R. Harrison G. Lackmann A. McGovern 41 14 0 31 Oct 2022
Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts Paul Stoewer A. Schilling Andreas K. Maier P. Krauss 85 15 0 28 Oct 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis Taiki Miyagawa 90 10 0 28 Oct 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 76 16 0 27 Oct 2022