Papers citing "Array Programming with NumPy"

50 / 1,343 papers shown

Title
Word class representations spontaneously emerge in a deep neural network trained on next word prediction K. Surendra A. Schilling Paul Stoewer Andreas K. Maier P. Krauss NAI 62 10 0 15 Feb 2023
Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models Xiao-Jiao Ma J. Rodu 16 1 0 15 Feb 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 73 1 0 14 Feb 2023
Trimmed sample means for robust uniform mean estimation and regression R. I. Oliveira Lucas Resende 60 6 0 13 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 176 381 0 13 Feb 2023
The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms V. Kasatskii A. Serheyuk Anastasiia Serova Sergey Titov T. Bryksin 35 4 0 13 Feb 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 60 7 0 10 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 157 66 0 08 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS 82 36 0 08 Feb 2023
Approximately Optimal Core Shapes for Tensor Decompositions Mehrdad Ghadiri Matthew Fahrbach Gang Fu Vahab Mirrokni 69 9 0 08 Feb 2023
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions Vladimir Feinberg Xinyi Chen Y. Jennifer Sun Rohan Anil Elad Hazan 101 13 0 07 Feb 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 62 2 0 07 Feb 2023
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications Oscar Castro P. Bruneau Jean-Sébastien Sottet D. Torregrossa 54 10 0 07 Feb 2023
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations Bilal Chughtai Lawrence Chan Neel Nanda 108 103 0 06 Feb 2023
Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics Joseph G. Shuttleworth Chon Lok Lei Dominic G. Whittaker M. Windley A. Hill S. Preston Gary R. Mirams 18 12 0 06 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 88 3 0 03 Feb 2023
FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features Valerii Likhosherstov K. Choromanski Kumar Avinava Dubey Frederick Liu Tamás Sarlós Adrian Weller 84 3 0 01 Feb 2023
ImageNomer: description of a functional connectivity and omics analysis tool and case study identifying a race confound Anton Orlichenko Grant Daly Ziyu Zhou Anqi Liu Hui Shen Hong-Wen Deng Yu-Ping Wang 42 3 0 01 Feb 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry A. Maurais Terrence Alsup Benjamin Peherstorfer Youssef Marzouk 92 7 0 31 Jan 2023
Archetypal Analysis++: Rethinking the Initialization Strategy Sebastian Mair Jens Sjölund 105 1 0 31 Jan 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model Alexander Campbell Simeon E. Spasov N. Toschi Pietro Lio 40 0 0 26 Jan 2023
Causal Bandits without Graph Learning Mikhail Konobeev Jalal Etesami Negar Kiyavash CML 52 8 0 26 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 73 10 0 26 Jan 2023
ClimaX: A foundation model for weather and climate Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K. Gupta Aditya Grover AI4Cl AI4CE 115 271 0 24 Jan 2023
Generating Multidimensional Clusters With Support Lines Nuno Fachada Diogo de Andrade 23 2 0 24 Jan 2023
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation O. Chehab Alexandre Gramfort Aapo Hyvarinen SSL 84 3 0 23 Jan 2023
Doubly Adversarial Federated Bandits Jialin Yi Milan Vojnović FedML 51 4 0 22 Jan 2023
Scalable Gaussian Process Inference with Stan Till Hoffmann J. Onnela GP 35 4 0 21 Jan 2023
Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference Jean-Benoist Léger 28 7 0 19 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 98 9 0 19 Jan 2023
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems Dimitra Maoutsa 68 1 0 19 Jan 2023
Learning Interpolations between Boltzmann Densities Bálint Máté Franccois Fleuret 137 29 0 18 Jan 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization Hanna Tseran Guido Montúfar ODL 63 0 0 17 Jan 2023
Shackled: a 3D Rendering Engine Programmed Entirely in Ethereum Smart Contracts I. Smith Casey Clifton 45 0 0 17 Jan 2023
Simplex Autoencoders Aymene Mohammed Bouayed D. Naccache SyDa 55 0 0 16 Jan 2023
LitAR: Visually Coherent Lighting for Mobile Augmented Reality Yiqin Zhao Chongyang Ma Haibin Huang Tian Guo 39 7 0 15 Jan 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun Molei Qin Xinrun Wang Bo An FaML OffRL AIFin 77 5 0 14 Jan 2023
Planning Visual Inspection Tours for a 3D Dubins Airplane Model in an Urban Environment Collin Hague Andrew R. Willis Dipankar Maity Artur Wolek 21 3 0 12 Jan 2023
Progress measures for grokking via mechanistic interpretability Neel Nanda Lawrence Chan Tom Lieberum Jess Smith Jacob Steinhardt 97 450 0 12 Jan 2023
Shape2SAS -- a web application to simulate small-angle scattering data and pair distance distributions from user-defined shapes A. H. Larsen Emre Brookes M. C. Pedersen J. Kirkensgaard 15 0 0 12 Jan 2023
An Analysis of Quantile Temporal-Difference Learning Mark Rowland Rémi Munos M. G. Azar Yunhao Tang Georg Ostrovski Anna Harutyunyan K. Tuyls Marc G. Bellemare Will Dabney 159 24 0 11 Jan 2023
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines Alexandre Adam Laurence Perreault Levasseur Y. Hezaveh Max Welling 70 7 0 10 Jan 2023
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS) Natalie Gentner Gian Antonio Susto 85 2 0 03 Jan 2023
Fast and fully-automated histograms for large-scale data sets Valentina Zelaya Mendizábal Marc Boullé Fabrice Rossi 42 4 0 27 Dec 2022
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning Bagus Tris Atmaja Haris Ihsannur Suyanto D. Arifianto 44 12 0 27 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 106 3 0 22 Dec 2022
Using Machine Learning to Determine Morphologies of $z<1$ AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey Chuan Tian C. Urry Aritra Ghosh Ryan Ofman T. Ananna ... M. Powell D. Sanders Kevin Schawinski Dominic Stark G. Tremblay AI4CE 38 3 0 20 Dec 2022
Continuous Semi-Supervised Nonnegative Matrix Factorization Michael R. Lindstrom Xiaofu Ding Feng Liu Anand Somayajula Deanna Needell 42 2 0 19 Dec 2022
Large Language Models are Better Reasoners with Self-Verification Yixuan Weng Minjun Zhu Fei Xia Bin Li Shizhu He Shengping Liu Bin Sun Kang Liu Jun Zhao ReLM LRM 82 227 0 19 Dec 2022
Emergent Analogical Reasoning in Large Language Models Taylor Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 112 318 0 19 Dec 2022